Enrique Hernández-Lemus is an expert in Genetics at National Institute of Genomic Medicine (Mexico). As of September 2026, ScienceLeadR ranks Enrique Hernández-Lemus in the top 1% of experts in Mexico for Breast Neoplasms, Breast Diseases and Artificial Intelligence. Enrique Hernández-Lemus has authored 167 publications, the most recent in 2026. SLR score: 543 (community average: 125). How the SLR is computed.

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Enrique Hernández-Lemus National Institute of Genomic Medicine Mexico
543 ScienceLeadR Reputation 543
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Genetics

Subspecialties: Biochemistry - Nutrition - Public Health

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Short Biography

Enrique Hernandez-Lemus, Ph.D. is a Principal Investigator at the Mexican National Institutes of Health and Head of the Computational Systems Biology and Integrative Genomics Lab at the National Institute of Genomic Medicine (Mexico). From April 2015 through September 2019 he was the Deputy Director of Research for Computational and Population Genomics at the National Institute of Genomic Medicine. From April 2012 to June 2022 he was Coordinator of the Computational Intelligence Program for the Center of Complexity Sciences, at the National University of Mexico UNAM.


Professor Hernandez-Lemus holds a Ph.D. in Chemical Physics (Non-equilibrium Statistical Physics - Dynamic Phase Transitions). He started his research career working in Probability Theory and Mathematical Physics. Later he turned his attention to problems in Biological Complexity and Systems Biology; has authored over 200 scientific publications and supervised the work of more than 30 students at the graduate and undergraduate level.


Dr. Hernandez-Lemus has been a visiting scientist at the Broad Institute of Harvard University and MIT, the Computational Biology Center at the TJ Watson IBM Research Laboratories; the Institute for Advanced Studies in Princeton, the Department of Physics and Mathematics at Rutgers University, the Institute of Complex Systems at the University of Barcelona and the Principe Felipe Research Center in Valencia, among others.


He has been awarded the 2016 Marcos Moshinsky fellowship in Physical Sciences. He is a member of the Mexican National Researchers’ System (Level III, the highest) and of the Mexican Health Ministry Research Network (level F, the highest). Professor Hernández-Lemus serves as a member for Latin America in the international Human Cell Atlas Consortium, is a Member of the Academic Committee of the MD/PHD program at Mexico’s National University (PECEM-UNAM). He is also a member of the Mexican Academy of Sciences, of the Mexican Mathematical Society and of the Mexican Physical Society.


Dr. Hernández- Lemus is also a strong advocate for OpenScience/OpenAccess. He is Associate Editor of Computational Biology and Chemistry and Computational and Systems Oncology, as well as Academic Editor at PLoS ONE, Scientific Reports, Computational Biology and Chemistry, Frontiers in Physiology, Frontiers in Oncology and Frontiers in Physics. Dr. Hernández-Lemus has devoted special efforts to spread the role of theoretical physics (specially statistical physics), probability theory and complex systems in the biomedical research community within his country.


Organizations

Career arc: 2006 - 2026

Source: PubMed

National Institute of Genomic Medicine

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 167

Citations

Citations: 3 658 1st author: 11 Last author: 82 Unique author: 7


Best Journals

Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Dietary Patterns and the Social Development Index in Mexico City: A Machine-Learning Approach.
PMID 42797083 — feeding behavior, machine learning, food, sex, learning, dietary patterns
Nutrients20260
mHealth for Oral Care in Aging: A Narrative Review of Mobile Applications for Older Adults and Caregivers.
PMID 42505751 — oral health, aging, caregivers, geriatric dentistry, self care, mobile applications
Dent J (Basel)20260
Explainable and interpretable models for predicting early-onset hypertension in the Tlalpan 2020 cohort.
PMID 42311438 — hypertension, life style, machine learning, learning, sedentary behavior, demography
Front Digit Health20261
Single-Cell Transcriptomic Profiling Reveals Immunometabolic Reprogramming and Cell-Cell Communication in the Tumor Microenvironment of Human Hepatocellular Carcinoma.
PMID 42353116 — cells, genes, hepatocytes, carcinoma, hepatocellular, communication, neoplasms, liver, cell communication, tumor microenvironment
Int J Mol Sci20260
Canonical Pathways Rewiring in Alzheimer's Disease.
PMID 42278365 — genes, alzheimer disease
Int J Mol Sci20260

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