World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
35261
World Ranking
1377
National Ranking
718

Genetics

D-Index
87
Citations
44215
World Ranking
1189
National Ranking
571

Research.com Recognitions

  • 2019 - Fellow of the International Society for Computational Biology
  • 2009 - Fellow of Alfred P. Sloan Foundation

Overview

Eleazar Eskin is affiliated with the University of California, Los Angeles in the United States. Their research primarily focuses on the fields of Biochemistry, Genetics and Molecular Biology, with a portfolio of 131 publications categorized under these disciplines.

Their work delves into various subfields, including Genetics, Molecular Biology, Infectious Diseases, Physiology, and Ecology. The main topics covered by their research span across:

  • Genetic Associations and Epidemiology
  • Genetic Mapping and Diversity in Plants and Animals
  • Genomics and Phylogenetic Studies
  • Genetic and phenotypic traits in livestock
  • Bioinformatics and Genomic Networks
  • Microbial Community Ecology and Physiology
  • SARS-CoV-2 detection and testing

Eleazar Eskin has contributed to several academic publications, including recent notable papers such as:

  • The GTEx Consortium atlas of genetic regulatory effects across human tissues, 2020, Science
  • The impact of sex on gene expression across human tissues, 2020, Science
  • Cell type-specific genetic regulation of gene expression across human tissues, 2020, Science
  • Determinants of telomere length across human tissues, 2020, Science
  • A Quantitative Proteome Map of the Human Body, 2020, Cell

The scientist commonly publishes in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Science
  • UNC Libraries
  • Nature Communications
  • Genome biology

Frequent co-authors working alongside Eleazar Eskin include:

  • Serghei Mangul
  • Nathan LaPierre
  • François Aguet
  • Kristin Ardlie
  • Brunilda Balliu

Eleazar Eskin has been recognized with awards including Fellowships from the International Society for Computational Biology in 2019 and from the Alfred P. Sloan Foundation in 2009.

Best Publications

  • Genetic effects on gene expression across human tissues.

    Enhancing GTEx (eGTEx) groups

  • Variance component model to account for sample structure in genome-wide association studies

    Hyun Min Kang;Jae Hoon Sul;Noah A. Zaitlen

  • Efficient Control of Population Structure in Model Organism Association Mapping

    Hyun Min Kang;Noah A. Zaitlen;Claire M. Wade;Claire M. Wade;Andrew Kirby;Andrew Kirby

  • Mouse genomic variation and its effect on phenotypes and gene regulation

    T M Keane;L Goodstadt;P Danecek;M A White

  • Assessing computational tools for the discovery of transcription factor binding sites.

    Martin Tompa;Nan Li;Timothy L. Bailey;George M. Church

  • Data mining methods for detection of new malicious executables

    M.G. Schultz;E. Eskin;F. Zadok;S.J. Stolfo

  • A Geometric Framework for Unsupervised Anomaly Detection

    Eleazar Eskin;Andrew Arnold;Michael J. Prerau;Leonid Portnoy

  • The spectrum kernel: a string kernel for SVM protein classification.

    Christina S. Leslie;Eleazar Eskin;William Stafford Noble

  • Whole-Genome Patterns of Common DNA Variation in Three Human Populations

    David A. Hinds;David A. Hinds;Laura L. Stuve;Laura L. Stuve;Geoffrey B. Nilsen;Geoffrey B. Nilsen;Eran Halperin;Eran Halperin

  • Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics.

    Alvaro N. Barbeira;Scott P. Dickinson;Rodrigo Bonazzola;Jiamao Zheng

  • A GEOMETRIC FRAMEWORK FOR UNSUPERVISED ANOMALY DETECTION: DETECTING INTRUSIONS IN UNLABELED DATA

    E Eskin;A Arnold;M Prerau

  • Mismatch string kernels for discriminative protein classification

    Christina S. Leslie;Eleazar Eskin;Adiel Cohen;Jason Weston

  • Colocalization of GWAS and eQTL Signals Detects Target Genes

    Farhad Hormozdiari;Martijn van de Bunt;Martijn van de Bunt;Ayellet V. Segrè;Xiao Li

  • Anomaly Detection over Noisy Data using Learned Probability Distributions

    Eleazar Eskin

  • Random-effects model aimed at discovering associations in meta-analysis of genome-wide association studies.

    Buhm Han;Eleazar Eskin

  • Comparative Analysis of Proteome and Transcriptome Variation in Mouse

    Anatole Ghazalpour;Brian Bennett;Vladislav A. Petyuk;Luz Orozco

  • The impact of sex on gene expression across human tissues

    Meritxell Oliva;Manuel Muñoz-Aguirre;Sarah Kim-Hellmuth;Sarah Kim-Hellmuth;Valentin Wucher

  • Chromosome conformation elucidates regulatory relationships in developing human brain

    Hyejung Won;Luis de la Torre-Ubieta;Jason L. Stein;Neelroop N. Parikshak

  • Genetic Control of Obesity and Gut Microbiota Composition in Response to High-Fat, High-Sucrose Diet in Mice

    Brian W. Parks;Elizabeth Nam;Elin Org;Emrah Kostem

  • Integrating Functional Data to Prioritize Causal Variants in Statistical Fine-Mapping Studies

    Gleb Kichaev;Wen-Yun Yang;Sara Lindstrom;Farhad Hormozdiari

  • A sequence-based variation map of 8.27 million SNPs in inbred mouse strains

    Kelly A. Frazer;Eleazar Eskin;Hyun Min Kang;Molly A. Bogue

  • The spectrum kernel

    Christina Leslie;Eleazar Eskin;William Stafford Noble

Frequent Co-Authors

Aldons J. Lusis
Aldons J. Lusis University of California, Los Angeles
Eran Halperin
Eran Halperin University of California, Los Angeles
Noah Zaitlen
Noah Zaitlen University of California, Los Angeles
Hyun Min Kang
Hyun Min Kang University of Michigan–Ann Arbor
Alexander Zelikovsky
Alexander Zelikovsky Georgia State University
Bogdan Pasaniuc
Bogdan Pasaniuc University of California, Los Angeles
Salvatore J. Stolfo
Salvatore J. Stolfo Columbia University
Eric R. Gamazon
Eric R. Gamazon Vanderbilt University Medical Center
Nicholas C. Wu
Nicholas C. Wu Scripps Research Institute
Ren Sun
Ren Sun University of California, Los Angeles

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