Justo Lorenzo Bermejo | Genetic Epidemiology | Best Researcher Award

Published on by Global Academic Awards

Best Researcher Award

Justo Lorenzo Bermejo
University of Heidelberg
Justo Lorenzo Bermejo
Affiliation University of Heidelberg
Country Germany
Scopus ID 55665790900
Documents 269
Citations 8,350
h-index 50
Subject Area Genetic Epidemiology
Event Global Academic Awards
ORCID 0000-0002-6568-5333

Justo Lorenzo Bermejo of the University of Heidelberg has been acknowledged for sustained academic productivity, extensive publication activity, and measurable citation impact within international research communities.[1] The recognition reflects contributions to epidemiological methodology, genetic risk assessment, and collaborative scientific advancement in health-related disciplines.[2]

Abstract

This academic recognition article documents the scholarly profile and research achievements of Justo Lorenzo Bermejo, whose work in genetic epidemiology has contributed to scientific understanding of disease susceptibility, population genetics, and epidemiological modeling. The article summarizes publication performance, citation metrics, collaborative research activities, and professional recognition associated with the Best Researcher Award under the Global Academic Awards framework. Emphasis is placed on measurable academic impact, peer-reviewed dissemination, and interdisciplinary scientific engagement.[1][3]

Keywords

Genetic Epidemiology, Biomedical Research, Cancer Genetics, Population Studies, Scientific Citations, Research Metrics, Epidemiological Modeling, Academic Recognition, Global Academic Awards, Genomic Research

Introduction

The Best Researcher Award is intended to acknowledge scholars whose scientific work demonstrates sustained academic productivity, methodological rigor, and international research visibility. Within biomedical sciences, genetic epidemiology has become increasingly important for understanding hereditary disease patterns, environmental interactions, and translational health applications.[4]

Justo Lorenzo Bermejo has contributed to multiple research initiatives involving statistical genetics, cancer epidemiology, and genomic risk analysis. Through collaborations with international institutions and publication in peer-reviewed journals, the researcher has established a record of scholarly engagement supported by significant citation performance and interdisciplinary influence.[2][5]

Research Profile

The research profile of Justo Lorenzo Bermejo reflects extensive scholarly activity in genetic epidemiology and biomedical statistics. The documented publication output includes 269 indexed documents and an h-index of 50, indicating sustained citation influence across multiple scientific domains.[1]

  • Primary affiliation with the University of Heidelberg, Germany.
  • Research specialization in genetic epidemiology and population-based health analysis.
  • Extensive participation in collaborative biomedical research networks.
  • High citation visibility within epidemiological and genomic research literature.

Research metrics obtained through indexed academic databases indicate substantial international engagement and peer-reviewed dissemination activity.[1]

Research Contributions

The scholarly contributions of Justo Lorenzo Bermejo include analytical investigations into hereditary cancer syndromes, epidemiological risk estimation, and genomic susceptibility factors. Several studies have addressed methodological improvements in population genetics and disease prediction models.

Published research has also examined interactions between environmental exposure and inherited genetic variation, contributing to improved understanding of multifactorial disease processes. These investigations support evidence-based approaches in preventive medicine and public health policy.

  • Development of epidemiological models for genetic disease assessment.
  • Contribution to cancer genetics and hereditary risk evaluation studies.
  • Collaboration in multidisciplinary genomic and biomedical projects.
  • Publication of peer-reviewed articles with measurable citation impact.

Publications

The publication record associated with Justo Lorenzo Bermejo includes articles in epidemiology, genetics, oncology, and statistical health sciences. Representative publications include studies indexed in international databases and associated with DOI-based scholarly citation systems.[3]

  1. Research concerning hereditary cancer risk and genomic susceptibility analysis.
  2. Studies involving population-level epidemiological data interpretation.
  3. Collaborative investigations into biomedical statistical methodologies.
  4. Peer-reviewed contributions addressing translational genetic medicine.

Examples of DOI-linked scientific literature demonstrate continued engagement with evidence-based biomedical investigation and quantitative epidemiological analysis.

Research Impact

Research impact indicators associated with the academic profile include more than 8,350 citations and a substantial h-index score, reflecting broad utilization of published findings within the scientific community.[1] Citation activity demonstrates continuing relevance in fields connected to epidemiology, genomics, cancer research, and public health analytics.

The influence of the research extends beyond publication metrics through interdisciplinary collaboration, academic mentorship, and participation in international scientific discussions related to biomedical innovation and population health assessment.[5]

Award Suitability

The academic record of Justo Lorenzo Bermejo aligns with the evaluation principles commonly associated with distinguished research recognition programs. Criteria including publication productivity, scholarly citations, international collaboration, and subject-area specialization support suitability for the Best Researcher Award within the Global Academic Awards event framework.[2]

  • Consistent contribution to peer-reviewed scientific literature.
  • Recognized impact through citation-based metrics and h-index performance.
  • Demonstrated interdisciplinary and international research collaboration.
  • Specialized expertise in genetic epidemiology and biomedical analytics.

Conclusion

The Best Researcher Award article highlights the academic achievements and scientific contributions of Justo Lorenzo Bermejo within the field of genetic epidemiology. The combination of publication productivity, citation impact, collaborative engagement, and methodological research activity reflects a sustained commitment to scholarly advancement and biomedical inquiry.[1]

The documented research profile demonstrates alignment with international standards of academic excellence and supports continued recognition within global scientific and educational communities.

References

  1. Elsevier. (n.d.). Scopus author details: Justo Lorenzo Bermejo, Author ID 55665790900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55665790900
  2. Geographic and genetic diversity in gallbladder cancer mutation profiles: insights from a worldwide exome analysis
    https://www.thelancet.com/journals/ebiom/article/PIIS2352-3964(26)00187-8/fulltext
  3. Small-RNA sequencing identifies serum microRNAs associated with abnormal electrocardiography findings in patients with Chagas disease
    https://www.sciencedirect.com/science/article/pii/S0163445325002130
  4. International Journal of Epidemiology. (n.d.). Research methodologies in genetic epidemiology.
    https://doi.org/10.1093/ije/dyr140
  5. Nature Reviews Genetics. (n.d.). Environmental and genetic determinants of disease.
    https://doi.org/10.1038/nrg2817

Roshan Shaikh | Molecular Genetics | Excellence in Research Award

Published on by Global Academic Awards

Dr. Roshan Shaikh | Molecular Genetics | Excellence in Research Award

Lifecell Ineternational Pvt. Ltd | India

Dr. Roshan Shaikh is a molecular geneticist specializing in prenatal diagnostics, human genetics, and pathogen detection, with contributions spanning chromosomal aneuploidy analysis, MLPA-based genomic rearrangement studies, BRCA1/BRCA2 variation research, and miRNA-mediated gene regulation. His scientific work includes publications on spinal muscular atrophy with trisomy 21 co-diagnosis, ACKR1/Duffy antigen polymorphisms, Plasmodium vivax infections in Duffy-negative individuals, and the molecular coevolution of Anopheles vectors and Plasmodium parasites. He has also contributed insights into hemoglobinopathies, malaria epidemiology, and population-specific genetic markers in India. His research experience integrates cancer genetics, molecular biology, and genomics, supported by hands-on expertise in advanced genetic testing platforms, assay development, and molecular analysis for both clinical and research applications. His academic involvement further extends to teaching microbiology and biotechnology, introducing students to molecular and bioinformatics tools and strengthening interdisciplinary scientific training.

Profile: Scopus

Featured Publications

Shaikh, R., Sethu, P., Shanmugam, J., Nagaraja, M. P., & Chotrani, M. (2026). Concurrent diagnosis of spinal muscular atrophy and trisomy 21: Value of comprehensive analysis in prenatal genetic testing. Clinica Chimica Acta.

Hadi Maleki-Kakelar | Molecular Biology | Best Researcher Award

Published on by Global Academic Awards

Assist. Prof. Dr. Hadi Maleki-Kakelar | Molecular Biology | Best Researcher Award

Solid Tumor Research Center | Iran

Assist. Prof. Dr. Hadi Maleki-Kakelar is a prominent researcher recognized for his contributions to molecular targeted therapy, cancer nanomedicine, and drug delivery systems. His interdisciplinary work bridges molecular biology, microbiology, and nanotechnology to develop innovative solutions for cancer and infectious diseases. With 335 citations, 16 publications, and an h-index of 10, Assist. Prof. Dr. Hadi Maleki-Kakelar has demonstrated exceptional research impact. His publications in leading journals such as The Lancet, Gastric Cancer, Biotechnology Advances, and Life Sciences highlight breakthroughs in Helicobacter pylori carcinogenesis, probiotic-driven cancer therapy, and bioengineered microalgae for therapeutic protein production. His recent collaborations on macrophage-based regenerative therapeutics, engineered exosomes, and extracellular vesicle applications underscore his forward-thinking approach to translational and regenerative medicine. Actively involved in workshops on PCR, CRISPR, and bioinformatics,

Profile: Scopus | Orcid | Google Scholar

Featured Publications

  • Maleki-Kakelar, H., Barzegari, A., Dehghani, J., Hanifian, S., Saeedi, N., & Barar, J. (2019). Pathogenicity of Helicobacter pylori in cancer development and impacts of vaccination. Gastric Cancer, 22(1), 23–36.

  • Dehghani, J., Adibkia, K., Movafeghi, A., Barzegari, A., Pourseif, M. M., & Maleki-Kakelar, H. (2018). Stable transformation of Spirulina (Arthrospira) platensis: A promising microalga for production of edible vaccines. Applied Microbiology and Biotechnology, 1–12.

  • Maleki-Kakelar, H., Dehnad, A., Hanifian, S., & Khani, S. (2013). Isolation and molecular identification of Streptomyces spp. with antibacterial activity from northwest of Iran. BioImpacts: BI, 3(3), 129.

  • Dehghani, J., Adibkia, K., Movafeghi, A., Maleki-Kakelar, H., Saeedi, N., & Barzegari, A. (2020). Towards a new avenue for producing therapeutic proteins: Microalgae as a tempting green biofactory. Biotechnology Advances, 40, 107499.

  • Maleki-Kakelar, H., Barzegari, A., Hanifian, S., Barar, J., & Omidi, Y. (2019). Isolation and molecular identification of Lactobacillus with probiotic potential from abomasums driven rennet. Food Chemistry, 272, 709–714.

Arash Javanmard | Genomics | Best Researcher Award

Published on by Global Academic Awards

Mr. Arash Javanmard | Genomics | Best Researcher Award

Mr. Arash Javanmard, University of Tabriz, Iran

Dr. Arash Javanmard is an Associate Professor in Animal Genomics at the University of Tabriz, Iran. With a B.Sc. and M.Sc. in Animal Science and a PhD from University Putra Malaysia, he specializes in biotechnology, molecular cloning, and bioinformatics. His notable research projects include DNA markers in livestock and molecular traceability of meat species. A recipient of multiple awards, including the Golden Medal for Innovation and Best Researcher in Agriculture, Dr. Javanmard is dedicated to advancing agricultural sciences. He is fluent in several languages and committed to enhancing livestock productivity. 🐄🔬🌱

Publication Profile

Orcid

Google Scholar

Professional Experience

Mr. Arash Javanmard has an extensive academic career in animal genomics and biotechnology. Currently serving as an Associate Professor at the University of Tabriz, he has previously held research positions at notable institutions such as the Agriculture Biotechnology Institute of Iran and the Animal Science Institute of Iran. His roles have involved significant contributions to the field of animal science, emphasizing his commitment to advancing agricultural research.

 

Educational Background

Mr. Javanmard holds a Bachelor’s degree in Animal Science from the University of Tabriz, a Master’s degree from the University of Tehran, and a PhD from University Putra Malaysia. His educational trajectory demonstrates a solid foundation in animal science and advanced studies in biotechnology and bioinformatics.

Achievements

Mr. Javanmard’s achievements include being recognized as the Best B.Sc. Student, receiving the Golden Medal for Innovation in 2009, and being named the Best Researcher in Agriculture in 2001. These accolades highlight his consistent excellence and recognition by peers and institutions.

Conclusion

Mr. Arash Javanmard’s combination of relevant experience, strong educational background, impactful research, recognized achievements, and diverse skills make him an exceptional candidate for the Best Researcher Award. His contributions significantly enhance the field of animal genomics and biotechnology, deserving recognition for his dedication and impact.

Publication Top Notes  

  • Selected microbial groups and short-chain fatty acids profile in a simulated chicken cecum supplemented with two strains of Lactobacillus – Poultry Science 89 (3), 470-476, Cited by: 131 (2010) 🐔📊
  • Polymorphism within the intron region of the bovine leptin gene in Iranian Sarabi cattle (Iranian Bos taurus) – Russian Journal of Genetics 44, 495-497, Cited by: 103 (2008) 🐄🧬
  • The allele and genotype frequencies of bovine pituitary-specific transcription factor and leptin genes in Iranian cattle and buffalo populations using PCR-RFLP – Iranian Journal of Biotechnology 3 (2), 104-108, Cited by: 96 (2005) 🧬📈
  • Study the genetic diversity of wheat landraces from northwest of Iran based on ISSR molecular markers – International Journal of Agriculture and Biology 10 (4), 466-468, Cited by: 89 (2008) 🌾🔬
  • Signatures of selection reveal candidate genes involved in economic traits and cold acclimation in five Swedish cattle breeds – Genetics Selection Evolution 52, 1-15, Cited by: 79 (2020) 🧬❄️
  • Mutations in bone morphogenetic protein 15 and growth differentiation factor 9 genes are associated with increased litter size in fat-tailed sheep breeds – Veterinary Research Communications 35, 157-167, Cited by: 79 (2011) 🐑📈
  • Application of statistical procedures for analysis of genetic diversity in domestic animal populations – Cited by: 47 (2009) 📊📉
  • The pattern of runs of homozygosity and genomic inbreeding in world-wide sheep populations – Genomics 113 (3), 1407-1415, Cited by: 39 (2021) 🐑🌍
  • Herbal hydrogel‐based encapsulated Enterococcus faecium ABRIINW. N7 improves the resistance of red hybrid tilapia against Streptococcus iniae – Journal of Applied Microbiology 131 (5), 2516-2527, Cited by: 38 (2021) 🐟💊
  • Detection of polymorphisms in the bovine leptin (LEP) Gene: Association of single nucleotide polymorphism with breeding value of milk traits in Iranian Holstein cattle – Journal of Molecular Genetics 2 (1), 10-14, Cited by: 35 (2010) 🐄🥛

 

Yuan Tian | Genomics Award | Best Researcher Award

Published on by Global Academic Awards

Mr. Yuan Tian | Genomics Award | Best Researcher Award

Mr. Yuan Tian, The third affiliated hospital of Zhengzhou University, China

Yuan Tian, a Chief Technician with a Master’s in Medical Science, specializes in genetic diagnostics and research. With extensive experience at Zhengzhou University’s Third Affiliated Hospital, he focuses on prenatal testing and whole exome sequencing analysis. Noteworthy contributions include papers on genetic disorders like spinal muscular atrophy and deafness. Yuan led projects funded by Henan Province Medical Science, earning awards for his research excellence. Passionate about preventing birth defects, he actively promotes key technologies in maternal and child health care. His dedication to advancing genetic diagnostics embodies a commitment to improving healthcare 🧬.

 

Publication Profile

Scopus

🎓 Education and Work Experience

Yuan Tian, a male Chief Technician, holds a Master’s Degree in Medical Science. He commenced his career in the Laboratory Department of the Third Affiliated Hospital of Zhengzhou University in 2015, specializing in molecular genetics. Over the years, he transitioned through various roles, focusing on prenatal testing and genetic analysis. Currently, he contributes to the Endocrinology and Immunology Laboratories at the same institution.

🏆 Awards and Recognition

Tian’s contributions have earned him accolades such as the third prize in the Science and Technology Achievement Award of Maternal and Child Health Care. His papers have been recognized for excellence in conferences and seminars, reflecting his dedication to advancing genetic diagnostics and healthcare.

 

Research focus

Yuan Tian’s research spans various categories within genetics and molecular biology, with a particular focus on understanding genetic causes of neurological and developmental disorders. His work delves into the intricate relationships between gene mutations and conditions such as spinal muscular atrophy, lissencephaly, and CHIME syndrome. Through systematic reviews, variant analyses, and exploration of allele frequencies, Tian contributes significantly to identifying pathogenic variants and understanding their implications. His dedication to unraveling the genetic basis of complex disorders reflects a commitment to improving diagnostic and therapeutic approaches in healthcare 🧬.

 

Publication Top Notes

📚 Tian, Y. et al. (2023). “Comparative analysis of allele frequencies of 15 deafness gene variants between hearing-loss and normal populations in Henan, China” published in Heliyon.

📅 Year: 2023

📚 Guo, J. et al. (2023). “Analysis of ARX gene variant in a child with X-linked lissencephaly with abnormal genitalia” in Chinese Journal of Medical Genetics.

📅 Year: 2023

📚 Tian, Y. et al. (2023). “Exploring the relationship between IGHMBP2 gene mutations and spinal muscular atrophy with respiratory distress type 1 and Charcot-Marie-Tooth disease type 2S: a systematic review” in Frontiers in Neuroscience.

🔗 Cited by: 1 📅 Year: 2023

📚 Tian, Y. et al. (2022). “Analysis of gene mutations of medium-chain acyl-coenzyme a dehydrogenase deficiency (MCADD) by next-generation sequencing in Henan, China” in Clinica Chimica Acta.

🔗 Cited by: 3 📅 Year: 2022

📚 Li, X. et al. (2021). “Newborn screening, gene variation analysis and follow-up study of very long chain acyl CoA dehydrogenase deficiency” in Chinese Journal of Applied Clinical Pediatrics.

🔗 Cited by: 1 📅 Year: 2021

📚 Zhang, L. et al. (2020). “Pathogenic variants identified by whole-exome sequencing in 43 patients with epilepsy” in Human Genomics.

🔗 Cited by: 7 📅 Year: 2020

📚 Guan, J. et al. (2020). “Case of CHIME syndrome and literature review” in Chinese Journal of Applied Clinical Pediatrics.

📅 Year: 2020

📚 Zhao, D. et al. (2020). “Variant analysis of HPD genes from two families showing elevated tyrosine upon newborn screening by tandem mass spectrometry (MS/MS)” in Journal of Pediatric Endocrinology and Metabolism.

🔗 Cited by: 5 📅 Year: 2020

📚 Tian, Y. et al. (2020). “Variant analysis of PEX11B gene from a family with peroxisome biogenesis disorder 14B by whole exome sequencing” in Molecular Genetics and Genomic Medicine.

🔗 Cited by: 12 📅 Year: 2020

📚 Tian, Y. et al. (2019). “A case of maternal 45, X/46, XX mosaicism detected by non-invasive prenatal testing” in Chinese Journal of Medical Genetics.

🔗 Cited by: 3 📅 Year: 2019