World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
77
Citations
26133
World Ranking
4710
National Ranking
2281

Chemistry

D-Index
75
Citations
24907
World Ranking
4380
National Ranking
1388

Sandor Vajda publication distribution in Chemistry in 2026

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

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 219 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Sandor Vajda D-index placement in Chemistry in 2026

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

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 75 D-Index — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Research.com Recognitions

  • 2014 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Sandor Vajda is affiliated with Boston University in the United States and focuses research efforts primarily in biochemistry, genetics, and molecular biology. Their scientific contributions include significant work in molecular biology, computational theory and mathematics, materials chemistry, surgery, and immunology.

The research topics covered by Vajda span protein structure and dynamics, computational drug discovery methods, enzyme structure and function, vaccines and immunoinformatics approaches, RNA and protein synthesis mechanisms, pancreatitis pathology and treatment, and glycosylation and glycoproteins research.

Vajda's publication record includes numerous articles in prominent venues, with frequent contributions to:

  • Proteins Structure Function and Bioinformatics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Chemical Information and Modeling
  • Current Opinion in Structural Biology
  • Journal of Molecular Biology

Key recent papers authored or coauthored by Vajda include:

  • Performance and Its Limits in Rigid Body Protein-Protein Docking, 2020, Structure
  • Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment, 2021, Proteins Structure Function and Bioinformatics
  • Impact of AlphaFold on structure prediction of protein complexes: The CASP15-CAPRI experiment, 2023, Proteins Structure Function and Bioinformatics
  • Improved Docking of Protein Models by a Combination of Alphafold2 and ClusPro, 2021, bioRxiv (Cold Spring Harbor Laboratory)
  • Elucidation of protein function using computational docking and hotspot analysis by ClusPro and FTMap, 2022, Acta Crystallographica Section D Structural Biology

Frequently collaborating researchers include Dima Kozakov, Sergei Kotelnikov, Dzmitry Padhorny, George Jones, and Diane Joseph-McCarthy.

In recognition of contributions to the field, Vajda was named a Fellow of the Indian National Academy of Engineering (INAE) in 2014.

Best Publications

  • The ClusPro web server for protein-protein docking.

    Dima Kozakov;David R Hall;Bing Xia;Kathryn A Porter

  • ClusPro: an automated docking and discrimination method for the prediction of protein complexes

    Stephen R. Comeau;David W. Gatchell;Sandor Vajda;Carlos J. Camacho

  • PIPER: An FFT‐based protein docking program with pairwise potentials

    Dima Kozakov;Ryan Brenke;Stephen R. Comeau;Sandor Vajda

  • ClusPro: a fully automated algorithm for protein–protein docking

    Stephen R. Comeau;David W. Gatchell;Sandor Vajda;Carlos J. Camacho

  • How good is automated protein docking

    Dima Kozakov;Dmitri Beglov;Tanggis Bohnuud;Scott E. Mottarella

  • CAPRI: A Critical Assessment of PRedicted Interactions

    Joel Janin;Kim Henrick;John Moult;Lynn Ten Eyck

  • The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins.

    Dima Kozakov;Laurie E Grove;David R Hall;Tanggis Bohnuud

  • Performance and Its Limits in Rigid Body Protein-Protein Docking

    Israel T. Desta;Kathryn A. Porter;Bing Xia;Dima Kozakov

  • New additions to the ClusPro server motivated by CAPRI.

    Sandor Vajda;Christine Yueh;Dmitri Beglov;Tanggis Bohnuud

  • Fragment-based identification of druggable ‘hot spots’ of proteins using Fourier domain correlation techniques

    Ryan Brenke;Dima Kozakov;Gwo-Yu Chuang;Dmitri Beglov

  • Principal component analysis of kinetic models

    S. Vajda;P. Valko;T. Turányi

  • Anchor residues in protein-protein interactions.

    Deepa Rajamani;Spencer Thiel;Sandor Vajda;Carlos J. Camacho

  • How proteins bind macrocycles

    Elizabeth A Villar;Dmitri Beglov;Spandan Chennamadhavuni;John A Porco

  • Similarity transformation approach to identifiability analysis of nonlinear compartmental models.

    Sandor Vajda;Sandor Vajda;Keith R. Godfrey;Herschel Rabitz

  • FTSite: High accuracy detection of ligand binding sites on unbound protein structures

    Chi-Ho Ngan;David R. Hall;Brandon S. Zerbe;Laurie E. Grove

  • Achieving reliability and high accuracy in automated protein docking: ClusPro, PIPER, SDU, and stability analysis in CAPRI rounds 13-19.

    Dima Kozakov;David R. Hall;Dmitri Beglov;Ryan Brenke

  • Structural conservation of druggable hot spots in protein–protein interfaces

    Dima Kozakov;David R. Hall;Gwo-Yu Chuang;Regina Cencic

  • Convergence and combination of methods in protein-protein docking.

    Sandor Vajda;Dima Kozakov

  • Quantifying the chameleonic properties of macrocycles and other high-molecular-weight drugs.

    Adrian Whitty;Mengqi Zhong;Lauren Viarengo;Dmitri Beglov

  • Free energy landscapes of encounter complexes in protein-protein association.

    Carlos J. Camacho;Zhiping Weng;Sandor Vajda;Charles DeLisi

  • Accelerating and focusing protein–protein docking correlations using multi-dimensional rotational FFT generating functions

    David W. Ritchie;Dima Kozakov;Sandor Vajda

  • Reaction rate analysis of complex kinetic systems

    T. Turányi;T. Bérces;S. Vajda

Frequent Co-Authors

Charles DeLisi
Charles DeLisi Boston University
Ioannis Ch. Paschalidis
Ioannis Ch. Paschalidis Boston University
Zhiping Weng
Zhiping Weng University of Massachusetts Chan Medical School
Gwo-Yu Chuang
Gwo-Yu Chuang Moderna Therapeutics (United States)
Charles R. Cantor
Charles R. Cantor Boston University
Herschel Rabitz
Herschel Rabitz Princeton University
Karen N. Allen
Karen N. Allen Boston University
Shoshana J. Wodak
Shoshana J. Wodak Vrije Universiteit Brussel
Alexandre M. J. J. Bonvin
Alexandre M. J. J. Bonvin Utrecht University
Juan Fernández-Recio
Juan Fernández-Recio Spanish National Research Council

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