World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
70
Citations
24791
World Ranking
6875
National Ranking
60

Nir Ben-Tal publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Nir Ben-Tal sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 237 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Nir Ben-Tal D-index placement in Biology and Biochemistry in 2026

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

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 70 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Nir Ben-Tal is affiliated with Tel Aviv University in Israel and has contributed extensively to the field of biochemistry, genetics, and molecular biology, with a particular focus on molecular biology. Their research covers a range of topics within these areas, including protein structure and dynamics, RNA and protein synthesis mechanisms, bacterial genetics and biotechnology, enzyme structure and function, machine learning in bioinformatics, genomics and phylogenetic studies, and drug transport and resistance mechanisms.

Ben-Tal has published numerous papers in prominent scientific journals. Some of their recent works include:

  • "Using evolutionary data to make sense of macromolecules with a "face-lifted" ConSurf", 2023, Protein Science
  • "PredictProtein - Predicting Protein Structure and Function for 29 Years", 2021, Nucleic Acids Research
  • "Potential Antigenic Cross-reactivity Between Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and Dengue Viruses", 2020, Clinical Infectious Diseases
  • "On the emergence of P-Loop NTPase and Rossmann enzymes from a Beta-Alpha-Beta ancestral fragment", 2020, eLife
  • "Validity of machine learning in biology and medicine increased through collaborations across fields of expertise", 2020, Nature Machine Intelligence

Frequent co-authors who have collaborated with Ben-Tal include:

  • Rachel Kolodny
  • Gal Masrati
  • Amit Kessel
  • Oded Lewinson
  • Türkan Haliloǧlu

Ben-Tal's research has been featured extensively in several scientific venues, with multiple publications in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Protein Science
  • Molecular Biology and Evolution
  • Journal of Molecular Biology
  • Journal of Biological Chemistry

Themes within their work span experimental and computational studies centered on protein science and molecular function, reflecting a cross-disciplinary approach that integrates machine learning applications with biological research. Their publication record reveals an ongoing contribution to the understanding of macromolecular structures, biological synthesis processes, and evolutionary biology.

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

  • PredictProtein—an open resource for online prediction of protein structural and functional features

    Guy Yachdav;Edda Kloppmann;Laszlo Kajan;Maximilian Hecht

  • 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

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

    Gershon Celniker;Guy Nimrod;Haim Ashkenazy;Fabian Glaser

  • ConSurf: an algorithmic tool for the identification of functional regions in proteins by surface mapping of phylogenetic information.

    Aharon Armon;Dan Graur;Nir Ben-Tal

  • 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

  • Residue frequencies and pairing preferences at protein–protein interfaces

    Fabian Glaser;David M. Steinberg;Ilya A. Vakser;Nir Ben-Tal

  • Mutations in the gene encoding pejvakin, a newly identified protein of the afferent auditory pathway, cause DFNB59 auditory neuropathy

    Sedigheh Delmaghani;Francisco J del Castillo;Vincent Michel;Michel Leibovici

  • Binding of small basic peptides to membranes containing acidic lipids: theoretical models and experimental results

    N. Ben-Tal;B. Honig;R.M. Peitzsch;G. Denisov

  • A putative molecular-activation switch in the transmembrane domain of erbB2.

    Sarel J. Fleishman;Joseph Schlessinger;Nir Ben-Tal

  • Comment on "Network motifs: simple building blocks of complex networks" and "Superfamilies of evolved and designed networks".

    Yael Artzy-Randrup;Sarel J. Fleishman;Nir Ben-Tal;Lewi Stone

  • The ConSurf-DB: pre-calculated evolutionary conservation profiles of protein structures

    Ofir Goldenberg;Elana Erez;Guy Nimrod;Nir Ben-Tal

  • Electrostatic interaction of myristoylated proteins with membranes: simple physics, complicated biology

    Diana Murray;Nir Ben-Tal;Barry Honig;Stuart McLaughlin

  • Free-energy determinants of alpha-helix insertion into lipid bilayers

    N Ben-Tal;A Ben-Shaul;A Nicholls;B H Honig

  • Electrostatics and the membrane association of Src: theory and experiment

    Diana Murray;Luz Hermida-Matsumoto;Carolyn A. Buser;James Tsang

  • Electrostatic properties of membranes containing acidic lipids and adsorbed basic peptides: theory and experiment.

    Diana Murray;Anna Arbuzova;Gyöngyi Hangyás-Mihályné;Alok Gambhir

Frequent Co-Authors

Tal Pupko
Tal Pupko Tel Aviv University
Barry Honig
Barry Honig Columbia University
Etana Padan
Etana Padan Hebrew University of Jerusalem
Rajini Rao
Rajini Rao Johns Hopkins University School of Medicine
Dan S. Tawfik
Dan S. Tawfik Weizmann Institute of Science
Dan Halperin
Dan Halperin Tel Aviv University
Burkhard Rost
Burkhard Rost Technical University of Munich
Chris Sander
Chris Sander Harvard University
Piero Fariselli
Piero Fariselli University of Turin
Karen B. Avraham
Karen B. Avraham Tel Aviv University

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