Tal Pupko

22.2k citations
145 papers · 15.5k · 8 hit papers · h-index 51

Impact in

  • Endocrinology top 0.5%
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Protein Structure and Dynamics
    • RNA Research and Splicing
    • RNA modifications and cancer
    • vaccines and immunoinformatics approaches

Papers in

    • Genomics and Phylogenetic Studies 66
    • RNA and protein synthesis mechanisms 30
    • Protein Structure and Dynamics 13
    • Machine Learning in Bioinformatics 9
    • Genetic diversity and population structure 20

Tal Pupko

143 papers receiving 15.3k citations

Tal Pupko's Hit Papers

Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf 2023 · 211 citations
2110+8+16Years since publication50010001.5k2.0k

Peers

Tal Pupko
Comparison fields: 5 of 181
  • Endocrinology 826
  • Molecular Biology 10.2k
  • Genetics 2.6k
  • Molecular Medicine 342
  • Cell Biology 1.0k
Replace Weizhong Li with:
Weizhong Li China
Fabian Sievers Ireland
Gordon Blackshields Ireland
Iain M. Wallace Canada
F. Valentin United Kingdom
Michael Remmert Germany
Kevin Karplus United States
Andrew Waterhouse Switzerland
Wim Hordijk United States
Geoffrey J. Barton United Kingdom
Tal Pupko relative to Weizhong Li China Weizhong Li's profile →
Citations per field
00.5×1.5×
Weizhong Li · 1×
Citations per year

Countries citing papers authored by Tal Pupko

Since Specialization
Citations

This map shows the geographic impact of Tal Pupko's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tal Pupko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal Pupko more than expected).

Fields of papers citing papers by Tal Pupko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tal Pupko. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tal Pupko. The network helps show where Tal Pupko may publish in the future.

Co-authors

The 25 scholars most cited alongside Tal Pupko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tal Pupko Line = papers co-authored together Tal Pupko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules
Hit paper breakdown →
20162253
2
ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids
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20101512
3
ConSurf 2005: the projection of evolutionary conservation scores of residues on protein structures
Hit paper breakdown →
20051153
4
ConSurf: Identification of Functional Regions in Proteinsby Surface-Mapping of Phylogenetic Information
Hit paper breakdown →
20021005
5
GUIDANCE2: accurate detection of unreliable alignment regions accounting for the uncertainty of multiple parameters
Hit paper breakdown →
2015641
6
GUIDANCE: a web server for assessing alignment confidence scores
Hit paper breakdown →
2010540
7 2002490
8 2013422
9 2004409
10 2010279
11
Model selection may not be a mandatory step for phylogeny reconstruction
Hit paper breakdown →
2019270
12 2007266
13 2012255
14 2006246
15 2000244
16 2009228
17 2012220
18
Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf
Hit paper breakdown →
2023211
19 2009206
20 2016202

About Tal Pupko

Tal Pupko is a scholar working on Molecular Biology, Genetics, Plant Science, Paleontology and Artificial Intelligence, having authored 145 papers that have together received 15.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (66 papers), RNA and protein synthesis mechanisms (30 papers), Genetic diversity and population structure (20 papers), Protein Structure and Dynamics (13 papers), Plant Pathogenic Bacteria Studies (12 papers), Evolution and Paleontology Studies (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Machine Learning in Bioinformatics (9 papers). The work is most often cited by research in Endocrinology (826 citations), Molecular Biology (10.2k citations), Genetics (2.6k citations), Molecular Medicine (342 citations) and Cell Biology (1.0k citations). Tal Pupko has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Nir Ben‐Tal, Eric Martz, Haim Ashkenazy, Itay Mayrose, Fabian Glaser, Shiran Abadi, Elona Erez, Dan Graur, Ofir Cohen and Inbal Paz. Their work appears in journals such as Bioinformatics, Molecular Biology and Evolution, Nucleic Acids Research, Genome Biology and Evolution and Proceedings of the National Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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