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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 62 2945 2793 24 24 158 24204

Tal Pupko publications per year

The chart shows the history of publications by Tal Pupko between 1981 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tal Pupko published across 45 years, from 1981 to 2025, averaging 3.9 papers a year. Output peaked at 13 publications in 2024. 18 of the 177 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1981 to 2025. Vertical axis: number of publications, 0 to 13. Peak 13 publications in 2024. 1981: 1 publication 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 1 publication 1997: 0 publications 1998: 0 publications 1999: 1 publication 2000: 1 publication 2001: 3 publications 2002: 7 publications 2003: 2 publications 2004: 5 publications 2005: 6 publications 2006: 4 publications 2007: 9 publications 2008: 5 publications 2009: 5 publications 2010: 10 publications 2011: 7 publications 2012: 9 publications 2013: 9 publications 2014: 6 publications 2015: 6 publications 2016: 6 publications 2017: 4 publications 2018: 9 publications 2019: 6 publications 2020: 7 publications 2021: 8 publications 2022: 11 publications 2023: 11 publications 2024: 13 publications 2025: 5 publications
1981 2025

177 publications in total across all disciplines

View publications per year as a table
Tal Pupko: publications per year, 1981 to 2025
Year Publications
1981 1
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 1
1997 0
1998 0
1999 1
2000 1
2001 3
2002 7
2003 2
2004 5
2005 6
2006 4
2007 9
2008 5
2009 5
2010 10
2011 7
2012 9
2013 9
2014 6
2015 6
2016 6
2017 4
2018 9
2019 6
2020 7
2021 8
2022 11
2023 11
2024 13
2025 5
Total 177
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Tal Pupko publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Tal Pupko sits on this spectrum.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 155–164 publications, is where this scientist sits. 45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45–54 publications 703+

This scientist: 158 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188 158
165–174 170
175–184 178
185–194 164
195–204 173
205–214 159
215–224 134
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88
275–284 87
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
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Tal Pupko D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Tal Pupko sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 62–63 D-Index, is where this scientist sits. 40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40–41 D-Index 160+

This scientist: 62 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191 62
64–65 172
66–67 184
68–69 164
70–71 158
72–73 150
74–75 136
76–77 127
78–79 127
80–81 111
82–83 110
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
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Overview

Tal Pupko is affiliated with Tel Aviv University in Israel and has made contributions primarily in the fields of Biochemistry, Genetics, and Molecular Biology. Their research spans several subfields, including Molecular Biology, Genetics, Plant Science, Artificial Intelligence, and Paleontology.

Their work covers a variety of main topics, notably Genomics and Phylogenetic Studies, RNA and protein synthesis mechanisms, Plant Pathogenic Bacteria Studies, Genetic diversity and population structure, Machine Learning in Bioinformatics, Bacterial Genetics and Biotechnology, and Evolution and Paleontology Studies.

Frequent co-authors collaborating with Tal Pupko include:

  • Oren Avram
  • Itay Mayrose
  • Naama Wagner
  • Gil Loewenthal
  • Noa Ecker

Tal Pupko has published in multiple venues, with a notable number of papers appearing in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics
  • Molecular Biology and Evolution
  • Journal of Molecular Biology
  • Frontiers in Plant Science

Recent papers authored or co-authored by Tal Pupko include:

  • Using evolutionary data to make sense of macromolecules with a "face-lifted" ConSurf, 2023, Protein Science
  • Type III secretion system effectors form robust and flexible intracellular virulence networks, 2021, Science
  • Harnessing machine learning to guide phylogenetic-tree search algorithms, 2021, Nature Communications
  • ModelTeller: Model Selection for Optimal Phylogenetic Reconstruction Using Machine Learning, 2020, Molecular Biology and Evolution
  • COVID-19 pandemic-related lockdown: response time is more important than its strictness, 2020, EMBO Molecular Medicine

Best Publications

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

    Haim Ashkenazy;Shiran Abadi;Eric Martz;Ofer Chay

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

    Haim Ashkenazy;Elana Erez;Eric Martz;Tal Pupko

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

    Meytal Landau;Itay Mayrose;Yossi Rosenberg;Fabian Glaser

  • ConSurf: identification of functional regions in proteins by surface-mapping of phylogenetic information

    Fabian Glaser;Tal Pupko;Inbal Paz;Rachel E. Bell

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

    Itamar Sela;Haim Ashkenazy;Kazutaka Katoh;Tal Pupko

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

    Tal Pupko;Rachel E. Bell;Itay Mayrose;Fabian Glaser

  • GUIDANCE: a web server for assessing alignment confidence scores

    Osnat Penn;Eyal Privman;Haim Ashkenazy;Giddy Landan

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

    Gershon Celniker;Guy Nimrod;Haim Ashkenazy;Fabian Glaser

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

    Carine Berezin;Fabian Glaser;Josef Rosenberg;Inbal Paz

  • Comparison of Site-Specific Rate-Inference Methods for Protein Sequences: Empirical Bayesian Methods Are Superior

    Itay Mayrose;Dan Graur;Nir Ben-Tal;Tal Pupko

  • A Fast Algorithm for Joint Reconstruction of Ancestral Amino Acid Sequences

    Tal Pupko;Itsik Pe;Ron Shamir;Dan Graur

  • An Alignment Confidence Score Capturing Robustness to Guide Tree Uncertainty

    Osnat Penn;Eyal Privman;Giddy Landan;Dan Graur

  • FastML: a web server for probabilistic reconstruction of ancestral sequences

    Haim Ashkenazy;Osnat Penn;Adi Doron-Faigenboim;Ofir Cohen

  • Comparative Analysis Identifies Exonic Splicing Regulatory Sequences—The Complex Definition of Enhancers and Silencers

    Amir Goren;Oren Ram;Maayan Amit;Hadas Keren

  • Selecton 2007: advanced models for detecting positive and purifying selection using a Bayesian inference approach

    Adi Stern;Adi Doron-Faigenboim;Elana Erez;Eric Martz

  • Differential GC content between exons and introns establishes distinct strategies of splice-site recognition.

    Maayan Amit;Maya Donyo;Dror Hollander;Amir Goren

  • Rodent phylogeny revised: Analysis of six nuclear genes from all major rodent clades

    Shani Blanga-Kanfi;Hector Miranda;Hector Miranda;Osnat Penn;Tal Pupko

  • Model selection may not be a mandatory step for phylogeny reconstruction

    Shiran Abadi;Dana Azouri;Tal Pupko;Itay Mayrose

  • Genome-scale identification of Legionella pneumophila effectors using a machine learning approach.

    David Burstein;Tal Zusman;Elena Degtyar;Ram Viner

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

    David Burstein;Francisco Amaro;Tal Zusman;Ziv Lifshitz

Frequent Co-Authors

David E. Burstein
David E. Burstein Tel Aviv University
Nir Ben-Tal
Nir Ben-Tal Tel Aviv University
Dan Graur
Dan Graur University of Houston
Gil Ast
Gil Ast Tel Aviv University
Nir Friedman
Nir Friedman Weizmann Institute of Science
Uri Gophna
Uri Gophna Tel Aviv University
Itsik Pe'er
Itsik Pe'er Columbia University
Roded Sharan
Roded Sharan Tel Aviv University
Ron Shamir
Ron Shamir Tel Aviv University
Guido Sessa
Guido Sessa Tel Aviv University

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