Tal Pupko

Active 2000–2025

86
Papers
20,257
Citations
54
h-index
74
i10-index

Citations

Citations per year for Tal Pupko1962: 1 citations1974: 1 citations1980: 2 citations1993: 1 citations1994: 1 citations1995: 1 citations1998: 2 citations2001: 3 citations2002: 7 citations2003: 23 citations2004: 49 citations2005: 77 citations2006: 114 citations2007: 161 citations2008: 133 citations2009: 134 citations2010: 171 citations2011: 172 citations2012: 171 citations2013: 233 citations2014: 214 citations2015: 209 citations2016: 224 citations2017: 179 citations2018: 197 citations2019: 623 citations2020: 610 citations2021: 651 citations2022: 533 citations2023: 366 citations2024: 626 citations2025: 267 citations2026: 20 citations1963–1973: no citations, so these years are not shown1975–1979: no citations, so these years are not shown1981–1992: no citations, so these years are not shown1996–1997: no citations, so these years are not shown1999–2000: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,090 citing papers, 23.8% of this breakdownUnited Kingdom: 804 citing papers, 9.2% of this breakdownChina: 652 citing papers, 7.4% of this breakdownGermany: 553 citing papers, 6.3% of this breakdownFrance: 410 citing papers, 4.7% of this breakdownCanada: 320 citing papers, 3.6% of this breakdownIsrael: 316 citing papers, 3.6% of this breakdownAustralia: 268 citing papers, 3% of this breakdownSpain: 243 citing papers, 2.8% of this breakdownIndia: 225 citing papers, 2.6% of this breakdownSwitzerland: 218 citing papers, 2.5% of this breakdownJapan: 216 citing papers, 2.5% of this breakdown
0%23.8%Other 28%

Fields

  • Biochemistry, Genetics and Molecular Biology64.6%
  • Medicine13.3%
  • Agricultural and Biological Sciences5.7%
  • Immunology and Microbiology3.5%
  • Computer Science3.5%
  • Environmental Science2.8%
  • Other6.6%

Topics

  • Genomics and Phylogenetic Studies5.7%
  • RNA and protein synthesis mechanisms5%
  • Protein Structure and Dynamics4%
  • RNA Research and Splicing2.3%
  • RNA modifications and cancer2.2%
  • Enzyme Structure and Function2.2%
  • Other78.6%

Coauthors

All papers

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  1. ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules

    Authors: , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2016 cited by 3,447

  2. Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf

    Authors: , , , , , , , , - Protein Science 2023 cited by 436

  3. ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids

    Authors: , , , , - Nucleic Acids Research, Nucleic Acids Res. 2010 cited by 1,911

  4. ConSurf 2005: the projection of evolutionary conservation scores of residues on protein structures

    Authors: , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2005 cited by 1,455

  5. GUIDANCE2: accurate detection of unreliable alignment regions accounting for the uncertainty of multiple parameters

    Authors: , , , - Nucleic Acids Research, Nucleic Acids Res. 2015 cited by 887

  6. Model selection may not be a mandatory step for phylogeny reconstruction

    Authors: , , , - Nature Communications 2019 cited by 425

  7. ConSurf: Identification of Functional Regions in Proteins by Surface-Mapping of Phylogenetic Information

    Authors: , , , , , , - Bioinformatics, Bioinform. 2002 cited by 1,261

  8. FastML: a web server for probabilistic reconstruction of ancestral sequences

    Authors: , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2012 cited by 373

  9. Rate4Site: an algorithmic tool for the identification of functional regions in proteins by surface mapping of evolutionary determinants within their homologues

    Authors: , , , , - Bioinformatics, ISMB 2002 cited by 658

  10. ConSurf: Using Evolutionary Data to Raise Testable Hypotheses about Protein Function

    Authors: , , , , , , , - Israel Journal of Chemistry 2013 cited by 598

  11. Harnessing machine learning to guide phylogenetic-tree search algorithms

    Authors: , , , , - Nature Communications 2021 cited by 70

  12. Genomic analysis of 38 Legionella species identifies large and diverse effector repertoires

    Authors: , , , , , , , , - Nature Genetics 2016 cited by 295

  13. A Fast Algorithm for Joint Reconstruction of Ancestral Amino Acid Sequences

    Authors: , , , - Molecular Biology and Evolution 2000 cited by 400

  14. Type III secretion system effectors form robust and flexible intracellular virulence networks

    Authors: , , , , , , , , , , , , , , , - Science 2021 cited by 115

  15. ModelTeller: Model Selection for Optimal Phylogenetic Reconstruction Using Machine Learning

    Authors: , , , , - Molecular Biology and Evolution 2020 cited by 56

  16. GUIDANCE: a web server for assessing alignment confidence scores

    Authors: , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2010 cited by 632

  17. Differential GC Content between Exons and Introns Establishes Distinct Strategies of Splice-Site Recognition

    Authors: , , , , , , , , , , , - Cell Reports 2012 cited by 365

  18. Genome-Scale Identification of Legionella pneumophila Effectors Using a Machine Learning Approach

    Authors: , , , , , - PLoS Pathogens 2009 cited by 270

  19. Epitopia: a web-server for predicting B-cell epitopes

    Authors: , , , - BMC Bioinformatics, BMC Bioinform. 2009 cited by 232

  20. Evaluation of the Ability of AlphaFold to Predict the Three-Dimensional Structures of Antibodies and Epitopes

    Authors: , , - The Journal of Immunology 2023 cited by 34

  21. ConSeq: the identification of functionally and structurally important residues in protein sequences

    Authors: , , , , , , , - Bioinformatics, Bioinform. 2004 cited by 521

  22. The interface of protein structure, protein biophysics, and molecular evolution

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Joseph W. Thornton, Daniel Weinreich, Simon Whelan - Protein Science 2012 cited by 233

  23. Combined Analysis of Variation in Core, Accessory and Regulatory Genome Regions Provides a Super-Resolution View into the Evolution of Bacterial Populations

    Authors: , , , , , , , , , , , , , , , , , , , , - PLoS Genetics 2016 cited by 213

  24. M1CR0B1AL1Z3R - a user-friendly web server for the analysis of large-scale microbial genomics data

    Authors: , , , - Nucleic Acids Research, Nucleic Acids Res. 2019 cited by 121