World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Chemistry 113 691 610 282 225 394 59800
Molecular Biology 115 301 276 180 163 393 61420

Vijay S. Pande publications per year

The chart shows the history of publications by Vijay S. Pande between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Vijay S. Pande published across 32 years, from 1994 to 2025, averaging 14.3 papers a year. Output peaked at 41 publications in 2018. 2 of the 459 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 41. Peak 41 publications in 2018. 1994: 5 publications 1995: 5 publications 1996: 4 publications 1997: 8 publications 1998: 5 publications 1999: 4 publications 2000: 4 publications 2001: 3 publications 2002: 9 publications 2003: 12 publications 2004: 10 publications 2005: 19 publications 2006: 16 publications 2007: 14 publications 2008: 25 publications 2009: 28 publications 2010: 30 publications 2011: 31 publications 2012: 25 publications 2013: 23 publications 2014: 29 publications 2015: 24 publications 2016: 27 publications 2017: 33 publications 2018: 41 publications 2019: 10 publications 2020: 8 publications 2021: 1 publication 2022: 0 publications 2023: 4 publications 2024: 0 publications 2025: 2 publications
1994 2025

459 publications in total across all disciplines

View publications per year as a table
Vijay S. Pande: publications per year, 1994 to 2025
Year Publications
1994 5
1995 5
1996 4
1997 8
1998 5
1999 4
2000 4
2001 3
2002 9
2003 12
2004 10
2005 19
2006 16
2007 14
2008 25
2009 28
2010 30
2011 31
2012 25
2013 23
2014 29
2015 24
2016 27
2017 33
2018 41
2019 10
2020 8
2021 1
2022 0
2023 4
2024 0
2025 2
Total 459
Download as CSV

Vijay S. Pande publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Vijay S. Pande sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 53 bars. Horizontal axis: publications, 47–56 to 564+. Vertical axis: number of scientists, 0 to 177. Most scientists, 177, have 117–126 publications. The last bar groups every scientist with 564 publications or more. The highlighted bar, 387–396 publications, is where this scientist sits. 47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47–56 publications 564+

This scientist: 393 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

View publications distribution as a table
Number of Molecular Biology scientists by publication count, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
Publications Scientists This scientist
47–56 7
57–66 17
67–76 65
77–86 90
87–96 125
97–106 131
107–116 162
117–126 177
127–136 158
137–146 158
147–156 146
157–166 159
167–176 131
177–186 110
187–196 112
197–206 100
207–216 89
217–226 98
227–236 74
237–246 72
247–256 63
257–266 53
267–276 54
277–286 49
287–296 52
297–306 43
307–316 46
317–326 41
327–336 42
337–346 31
347–356 28
357–366 29
367–376 26
377–386 24
387–396 24 393
397–406 14
407–416 13
417–426 20
427–436 12
437–446 20
447–456 11
457–466 10
467–476 14
477–486 14
487–496 10
497–506 13
507–516 13
517–526 2
527–536 4
537–546 6
547–556 8
557–563 6
564+ 100
Download as CSV

Vijay S. Pande D-index placement in Molecular Biology in 2026

The chart shows the D-index (discipline H-index) distribution of Molecular Biology scientists ranked by Research.com in 2026. The highlighted bar marks where Vijay S. Pande sits on this spectrum.

No. of scientists
25 50 75 100 125
Bar chart with 54 bars. Horizontal axis: D-Index, 40–41 to 145+. Vertical axis: number of scientists, 0 to 131. Most scientists, 131, have 64–65 D-Index. The last bar groups every scientist with 145 D-Index or more. The highlighted bar, 114–115 D-Index, is where this scientist sits. 40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40–41 D-Index 145+

This scientist: 115 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

View D-Index distribution as a table
Number of Molecular Biology scientists by D-index, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
D-Index Scientists This scientist
40–41 36
42–43 101
44–45 115
46–47 121
48–49 118
50–51 130
52–53 106
54–55 116
56–57 113
58–59 129
60–61 120
62–63 105
64–65 131
66–67 95
68–69 97
70–71 106
72–73 83
74–75 89
76–77 77
78–79 70
80–81 73
82–83 60
84–85 48
86–87 45
88–89 50
90–91 31
92–93 51
94–95 43
96–97 38
98–99 39
100–101 41
102–103 29
104–105 33
106–107 35
108–109 20
110–111 38
112–113 19
114–115 28 115
116–117 13
118–119 23
120–121 16
122–123 15
124–125 11
126–127 21
128–129 7
130–131 13
132–133 14
134–135 17
136–137 9
138–139 8
140–141 16
142–143 7
144 7
145+ 100
Download as CSV

Research.com Recognitions

  • 2008 - Fellow of American Physical Society (APS) Citation For farreaching contributions to the quantitative distributed simulation, analysis, and understanding of kinetics and thermodynamics of biomolecular conformations and interactions, especially in the areas of protein folding and the role of water in confined environments

Overview

Vijay S. Pande is affiliated with Stanford University in the United States and conducts research primarily in the field of Biochemistry, Genetics, and Molecular Biology. Their work spans several subfields, including Molecular Biology, Materials Chemistry, Public Health, Environmental and Occupational Health, Computational Theory and Mathematics, and Atomic and Molecular Physics and Optics.

The scientist's research focuses on a range of topics, notably Protein Structure and Dynamics, Machine Learning in Materials Science, Computational Drug Discovery Methods, Genetics, Bioinformatics, and Biomedical Research. Additional research interests include Mosquito-borne Diseases and Control, Malaria Research and Control, and HIV Research and Treatment.

Recent published papers include:

  • OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials, 2023, The Journal of Physical Chemistry B
  • Improvement in ADMET Prediction with Multitask Deep Featurization, 2020, Journal of Medicinal Chemistry
  • Folding@home: Achievements from over 20 years of citizen science herald the exascale era, 2023, Biophysical Journal
  • OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials, 2023, arXiv (Cornell University)
  • Computational IR Spectroscopy of Insulin Dimer Structure and Conformational Heterogeneity, 2021, The Journal of Physical Chemistry B

Frequent co-authors in their publications include:

  • Peter Eastman
  • Raimondas Galvelis
  • Raúl P. Peláez
  • Charlles R. A. Abreu
  • Stephen E. Farr

Publications by this researcher commonly appear in venues such as:

  • The Journal of Physical Chemistry B
  • Biophysical Journal
  • arXiv (Cornell University)
  • Journal of Medicinal Chemistry
  • PLoS Computational Biology

Best Publications

  • CHARMM-GUI Input Generator for NAMD, Gromacs, Amber, Openmm, and CHARMM/OpenMM Simulations using the CHARMM36 Additive Force Field

    Jumin Lee;Xi Cheng;Jason M. Swails;Min Sun Yeom

  • OpenMM 7: Rapid development of high performance algorithms for molecular dynamics.

    Peter Eastman;Jason Swails;John D. Chodera;Robert T. McGibbon

  • MoleculeNet: a benchmark for molecular machine learning

    Zhenqin Wu;Bharath Ramsundar;Evan N. Feinberg;Joseph Gomes

  • MDTraj: A Modern Open Library for the Analysis of Molecular Dynamics Trajectories

    Robert T. McGibbon;Kyle A. Beauchamp;Matthew P. Harrigan;Christoph Klein

  • Molecular graph convolutions: moving beyond fingerprints

    Steven M. Kearnes;Kevin McCloskey;Marc Berndl;Vijay S. Pande

  • Current Status of the AMOEBA Polarizable Force Field

    Jay W. Ponder;Chuanjie Wu;Pengyu Ren;Vijay S. Pande

  • Markov State Models: From an Art to a Science

    Brooke E. Husic;Vijay S. Pande

  • Low Data Drug Discovery with One-Shot Learning

    Han Altae-Tran;Bharath Ramsundar;Aneesh S. Pappu;Vijay S. Pande

  • Random-coil behavior and the dimensions of chemically unfolded proteins

    Jonathan E. Kohn;Ian S. Millett;Jaby Jacob;Jaby Jacob;Bojan Zagrovic

  • Absolute comparison of simulated and experimental protein-folding dynamics

    Christopher D. Snow;Houbi Nguyen;Vijay S. Pande;Martin Gruebele

  • Exploring the Helix-Coil Transition via All-Atom Equilibrium Ensemble Simulations

    Eric J. Sorin;Vijay S. Pande

  • Screen Savers of the World Unite

    Michael Shirts;Vijay S. Pande

  • Everything you wanted to know about Markov State Models but were afraid to ask.

    Vijay S. Pande;Kyle Beauchamp;Gregory R. Bowman

  • OpenMM 4: A reusable, extensible, hardware independent library for high performance molecular simulation

    Peter Eastman;Mark S. Friedrichs;John D. Chodera;Randall J. Radmer

  • Extremely precise free energy calculations of amino acid side chain analogs: Comparison of common molecular mechanics force fields for proteins

    Michael R. Shirts;Jed W. Pitera;William C. Swope;Vijay S. Pande

  • Automatic discovery of metastable states for the construction of Markov models of macromolecular conformational dynamics.

    John D. Chodera;Nina Singhal;Vijay S. Pande;Ken A. Dill

  • Accelerating Molecular Dynamic Simulation on Graphics Processing Units

    Mark S. Friedrichs;Peter Eastman;Vishal Vaidyanathan;Mike Houston

  • Improvements in Markov State Model Construction Reveal Many Non-Native Interactions in the Folding of NTL9

    Christian R. Schwantes;Vijay S. Pande

  • Graph convolutional policy network for goal-directed molecular graph generation

    Jiaxuan You;Bowen Liu;Rex Ying;Vijay Pande

  • Alchemical free energy methods for drug discovery: progress and challenges

    John D Chodera;David L Mobley;Michael R Shirts;Richard W Dixon

  • Molecular Simulation of ab Initio Protein Folding for a Millisecond Folder NTL9(1-39)

    Vincent A. Voelz;Gregory R. Bowman;Kyle Beauchamp;Vijay S. Pande

  • An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation

    Gregory R. Bowman;Vijay S. Pande;Frank Noé

  • On the transition coordinate for protein folding

    Rose Du;Vijay S. Pande;Vijay S. Pande;Alexander Yu. Grosberg;Toyoichi Tanaka

Frequent Co-Authors

Gregory R. Bowman
Gregory R. Bowman Washington University in St. Louis
Alexander Y. Grosberg
Alexander Y. Grosberg New York University
John D. Chodera
John D. Chodera Memorial Sloan Kettering Cancer Center
Xuhui Huang
Xuhui Huang University of Wisconsin–Madison
Teresa Head-Gordon
Teresa Head-Gordon University of California, Berkeley
Russ B. Altman
Russ B. Altman Stanford University
Sebastian Doniach
Sebastian Doniach Stanford University
Axel T. Brunger
Axel T. Brunger Stanford University
Todd J. Martínez
Todd J. Martínez Stanford University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in chemistry, particularly those drawn to its applications in criminal justice and forensic investigations, a range of online degrees and career pathways are available. Pursuing a forensic degree online offers flexibility while equipping learners with vital skills in chemical analysis, evidence processing, and scientific reporting.

Specializing further, students might consider an online forensic psychology masters, blending chemistry knowledge with psychological insights to better understand criminal behavior and aid investigations.

For those focused on practical, hands-on roles, learning how to become an autopsy technician can open doors to careers assisting medical examiners in determining causes of death through chemical and biological analyses.

Overall, forensic career paths offer diverse opportunities for chemistry graduates, from lab work to field investigations. Understanding these options can help students align their education with a rewarding profession.

Best Scientists Citing Vijay S. Pande

Trending Scientists

Recently Published Articles