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Biology and Biochemistry

D-Index
79
Citations
69917
World Ranking
4191
National Ranking
2051

Overview

Joel T. Dudley is affiliated with the Icahn School of Medicine at Mount Sinai in the United States. Their research spans multiple fields, primarily focusing on Medicine and Biochemistry, Genetics and Molecular Biology. Within these broad areas, their work includes Molecular Biology, Infectious Diseases, Genetics, Cancer Research, and Physiology.

The topics addressed in their research involve SARS-CoV-2 and COVID-19, including detection and testing, as well as Neuroinflammation and Neurodegeneration Mechanisms, Alzheimer's disease research and treatments, Cancer Genomics and Diagnostics, Genetic Associations and Epidemiology, and Bioinformatics and Genomic Networks.

Dudley has published extensively, with notable recent papers including:

  • Multiplex qPCR discriminates variants of concern to enhance global surveillance of SARS-CoV-2 (2021, PLoS Biology)
  • Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist (2020, JACC. Cardiovascular imaging)
  • Early introductions and transmission of SARS-CoV-2 variant B.1.1.7 in the United States (2021, Cell)
  • Viral dynamics of SARS-CoV-2 variants in vaccinated and unvaccinated individuals (2021, bioRxiv (Cold Spring Harbor Laboratory))
  • Quantifying the impact of immune history and variant on SARS-CoV-2 viral kinetics and infection rebound: A retrospective cohort study (2022, eLife)

The publication venues where Dudley frequently contributes include bioRxiv (Cold Spring Harbor Laboratory), Alzheimer's & Dementia, UNC Libraries, Scientific Reports, and Precision Clinical Medicine.

Frequent collaborators in their research are:

  • Christopher E. Mason
  • Benjamin Readhead
  • Benjamin S. Glicksberg
  • Ben Readhead
  • Matthew MacKay

Best Publications

  • MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0

    Koichiro Tamura;Joel T Dudley;Masatoshi Nei;Sudhir Kumar

  • MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences

    Sudhir Kumar;Masatoshi Nei;Joel Dudley;Koichiro Tamura

  • Deep learning for healthcare: review, opportunities and challenges.

    Riccardo Miotto;Fei Wang;Shuang Wang;Xiaoqian Jiang

  • Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

    Riccardo Miotto;Li Li;Brian A. Kidd;Joel T. Dudley

  • Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes

    Rui Chen;George I. Mias;Jennifer Li-Pook-Than;Lihua Jiang

  • TimeTree: a public knowledge-base of divergence times among organisms

    S. Blair Hedges;Joel Dudley;Sudhir Kumar

  • Gene expression elucidates functional impact of polygenic risk for schizophrenia

    Menachem Fromer;Panos Roussos;Solveig K. Sieberts;Jessica S. Johnson

  • Artificial Intelligence in Cardiology

    Kipp W. Johnson;Jessica Torres Soto;Benjamin S. Glicksberg;Khader Shameer

  • Discovery and Preclinical Validation of Drug Indications Using Compendia of Public Gene Expression Data

    Marina Sirota;Joel T. Dudley;Joel T. Dudley;Jeewon Kim;Annie P. Chiang;Annie P. Chiang

  • Clinical assessment incorporating a personal genome

    Euan A Ashley;Atul J Butte;Matthew T Wheeler;Rong Chen

  • Multiscale Analysis of Independent Alzheimer's Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus.

    Benjamin Readhead;Jean Vianney Haure-Mirande;Cory C. Funk;Matthew A. Richards

  • Computational Repositioning of the Anticonvulsant Topiramate for Inflammatory Bowel Disease

    Joel T. Dudley;Marina Sirota;Marina Sirota;Mohan Shenoy;Reetesh K. Pai

  • Identification of type 2 diabetes subgroups through topological analysis of patient similarity

    Li Li;Wei-Yi Cheng;Benjamin S. Glicksberg;Omri Gottesman

  • Exploiting drug–disease relationships for computational drug repositioning

    Joel T. Dudley;Tarangini Deshpande;Atul J. Butte

  • Necroptosis activation in Alzheimer's disease

    Antonella Caccamo;Caterina Branca;Ignazio S. Piras;Eric Ferreira

  • Machine learning in cardiovascular medicine: are we there yet?

    Khader Shameer;Kipp W Johnson;Benjamin S Glicksberg;Joel T Dudley

  • Network-based elucidation of human disease similarities reveals common functional modules enriched for pluripotent drug targets.

    Silpa Suthram;Joel T. Dudley;Joel T. Dudley;Annie P. Chiang;Annie P. Chiang;Rong Chen;Rong Chen

  • A Drug Repositioning Approach Identifies Tricyclic Antidepressants as Inhibitors of Small Cell Lung Cancer and Other Neuroendocrine Tumors

    Nadine S. Jahchan;Joel T. Dudley;Pawel K. Mazur;Natasha Flores

  • Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography

    Sukrit Narula;Sukrit Narula;Khader Shameer;Alaa Mabrouk Salem Omar;Joel T. Dudley

  • Molecular Evolutionary Genetics Analysis

    Koichiro Tamura;Joel Dudley;Masatoshi Nei;Sudhir Kumar

Frequent Co-Authors

Atul J. Butte
Atul J. Butte University of California, San Francisco
Eric E. Schadt
Eric E. Schadt Icahn School of Medicine at Mount Sinai
Rong Chen
Rong Chen Icahn School of Medicine at Mount Sinai
Partho P. Sengupta
Partho P. Sengupta West Virginia University
Sudhir Kumar
Sudhir Kumar Temple University
Jagat Narula
Jagat Narula Icahn School of Medicine at Mount Sinai
Bin Zhang
Bin Zhang Icahn School of Medicine at Mount Sinai
Christopher E. Mason
Christopher E. Mason Cornell University
Konrad J. Karczewski
Konrad J. Karczewski Harvard University
Bart Barlogie
Bart Barlogie Mount Sinai Hospital

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