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Genetics

D-Index
90
Citations
299495
World Ranking
1054
National Ranking
512

Overview

Sudhir Kumar is affiliated with Temple University in the United States and works within the domain of Biochemistry, Genetics and Molecular Biology. Their research output spans 216 publications in this broad field, with a particular focus on Molecular Biology, Genetics, and to a lesser extent, Mechanical Engineering, Infectious Diseases, and Cancer Research.

The scientist's research concentrates on several main topics including:

  • Genomics and Phylogenetic Studies
  • Genetic diversity and population structure
  • Evolution and Genetic Dynamics
  • Cancer Genomics and Diagnostics
  • Evolution and Paleontology Studies
  • SARS-CoV-2 and COVID-19 Research
  • Genetic Mapping and Diversity in Plants and Animals

Kumar has published extensively in several journals and repositories, with their most frequent publication venues being:

  • Molecular Biology and Evolution
  • bioRxiv (Cold Spring Harbor Laboratory)
  • SSRN Electronic Journal
  • Clinical Lymphoma Myeloma & Leukemia
  • Frontiers in Bioinformatics

Recent notable papers include:

  • TimeTree 5: An Expanded Resource for Species Divergence Times, 2022, Molecular Biology and Evolution
  • MEGA12: Molecular Evolutionary Genetic Analysis Version 12 for Adaptive and Green Computing, 2024, Molecular Biology and Evolution
  • An Evolutionary Portrait of the Progenitor SARS-CoV-2 and Its Dominant Offshoots in COVID-19 Pandemic, 2021, Molecular Biology and Evolution

Additionally, Kumar was a contributing author to:

  • MEGA11: Molecular Evolutionary Genetics Analysis Version 11, 2021, Molecular Biology and Evolution

Other collaborative work includes:

  • The Role of Conformational Dynamics and Allostery in Modulating Protein Evolution, 2020, Annual Review of Biophysics

Frequent co-authors collaborating with Kumar include:

  • Maxwell Sanderford
  • Sayaka Miura
  • Sudip Sharma
  • Qiqing Tao
  • Jose Barba-Montoya

Best Publications

  • MEGA5: Molecular Evolutionary Genetics Analysis using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods

    Koichiro Tamura;Daniel S. Peterson;Nicholas Peterson;Glen Stecher

  • MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0

    Koichiro Tamura;Glen Stecher;Daniel Peterson;Alan Filipski

  • MEGA7: Molecular Evolutionary Genetics Analysis version 7.0 for bigger datasets

    Sudhir Kumar;Glen Stecher;Koichiro Tamura

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

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

  • MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

    Sudhir Kumar;Sudhir Kumar;Glen Stecher;Michael Li;Christina Knyaz

  • MEGA2 : Molecular evolutionary genetics analysis software

    Sudhir Kumar;Koichiro Tamura;Ingrid B. Jakobsen;Masatoshi Nei

  • Molecular Evolution and Phylogenetics

    Masatoshi Nei;Sudhir Kumar

  • Prospects for inferring very large phylogenies by using the neighbor-joining method

    Koichiro Tamura;Masatoshi Nei;Sudhir Kumar

  • MEGA: Molecular Evolutionary Genetics Analysis software for microcomputers

    Sudhir Kumar;Koichiro Tamura;Masatoshi Nei

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

    Sudhir Kumar;Masatoshi Nei;Joel Dudley;Koichiro Tamura

  • TimeTree: A Resource for Timelines, Timetrees, and Divergence Times.

    Sudhir Kumar;Glen Stecher;Michael Suleski;S. Blair Hedges

  • Evolution of genes and genomes on the Drosophila phylogeny.

    Andrew G. Clark;Michael B. Eisen;Michael B. Eisen;Douglas R. Smith;Casey M. Bergman

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

    S. Blair Hedges;Joel Dudley;Sudhir Kumar

  • Molecular Evolutionary Genetics Analysis (MEGA) for macOS.

    Glen Stecher;Koichiro Tamura;Sudhir Kumar;Sudhir Kumar

  • Tree of Life Reveals Clock-Like Speciation and Diversification

    S. Blair Hedges;Julie Marin;Michael Suleski;Madeline Paymer

  • A new method of inference of ancestral nucleotide and amino acid sequences.

    Ziheng Yang;Sudhir Kumar;Masatoshi Nei

  • Zinc oxide nanoparticles selectively induce apoptosis in human cancer cells through reactive oxygen species.

    Mohd Javed Akhtar;Maqusood Ahamed;Sudhir Kumar;MA Majeed Khan

  • Mutation rates in mammalian genomes

    Sudhir Kumar;Sankar Subramanian

  • Temporal Patterns of Fruit Fly (Drosophila) Evolution Revealed by Mutation Clocks

    Koichiro Tamura;Sankar Subramanian;Sudhir Kumar

  • Molecular Evolutionary Genetics Analysis

    Koichiro Tamura;Joel Dudley;Masatoshi Nei;Sudhir Kumar

Frequent Co-Authors

S. Blair Hedges
S. Blair Hedges Temple University
Jieping Ye
Jieping Ye Alibaba Group (China)
Masatoshi Nei
Masatoshi Nei Pennsylvania State University
Shuiwang Ji
Shuiwang Ji Texas A&M University
Joel T. Dudley
Joel T. Dudley Icahn School of Medicine at Mount Sinai
Naibedya Chattopadhyay
Naibedya Chattopadhyay Central Drug Research Institute
Viswanathan Chinnusamy
Viswanathan Chinnusamy Indian Agricultural Research Institute
Zhi-Hua Zhou
Zhi-Hua Zhou Nanjing University
Greg Gibson
Greg Gibson Georgia Institute of Technology
Sethuraman Panchanathan
Sethuraman Panchanathan Arizona State University

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