World's Best Scientists 2026 revealed!
Robert P. Sheridan

Robert P. Sheridan

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
16876
World Ranking
5667
National Ranking
1576

Robert P. Sheridan publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Robert P. Sheridan sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 90 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Robert P. Sheridan D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Robert P. Sheridan sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 44 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Robert P. Sheridan is primarily affiliated with MSD in the United States. Their research spans several overlapping fields, most notably Biochemistry, Genetics and Molecular Biology, and Computer Science. Within these main fields, Sheridan's work delves into subfields including Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Cancer Research, and Pulmonary and Respiratory Medicine.

The scientist's research topics focus heavily on Computational Drug Discovery Methods and Machine Learning applications. Other significant areas of study include Metabolomics and Mass Spectrometry Studies, Cancer Genomics and Diagnostics, Bioinformatics and Genomic Networks, Machine Learning in Bioinformatics, and Protein Structure and Dynamics.

Robert P. Sheridan has published numerous papers in various peer-reviewed journals. Some of their most recent papers include:

  • "QSAR without borders" (2020) in Chemical Society Reviews
  • "Deep Dive into Machine Learning Models for Protein Engineering" (2020) in Journal of Chemical Information and Modeling
  • "OncoTree: A Cancer Classification System for Precision Oncology" (2021) in JCO Clinical Cancer Informatics
  • "Experimental Error, Kurtosis, Activity Cliffs, and Methodology: What Limits the Predictivity of Quantitative Structure-Activity Relationship Models?" (2020) in Journal of Chemical Information and Modeling
  • "Driving Aspirational Process Mass Intensity Using Simple Structure-Based Prediction" (2022) in Organic Process Research & Development

Their frequent co-authors include Andy Liaw, Hongxin Zhang, Avery Wang, Angelica Ochoa, and Manda Wilson.

Robert P. Sheridan often publishes in journals such as Journal of Chemical Information and Modeling, Organic Process Research & Development, Cancer Research, Chemical Society Reviews, and JCO Clinical Cancer Informatics.

Best Publications

  • Random forest: a classification and regression tool for compound classification and QSAR modeling.

    Vladimir Svetnik;Andy Liaw;Christopher Tong;J. Christopher Culberson

  • Protein 3D structure computed from evolutionary sequence variation.

    Debora S. Marks;Lucy J. Colwell;Robert Sheridan;Thomas A. Hopf

  • Deep neural nets as a method for quantitative structure-activity relationships.

    Junshui Ma;Robert P. Sheridan;Andy Liaw;George E. Dahl

  • QSAR without borders

    Eugene N. Muratov;Eugene N. Muratov;Jürgen Bajorath;Robert P. Sheridan;Igor V. Tetko

  • Three-dimensional structures of membrane proteins from genomic sequencing.

    Thomas A. Hopf;Lucy J. Colwell;Robert Sheridan;Burkhard Rost

  • Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships

    Robert P. Sheridan;Wei Min Wang;Andy Liaw;Junshui Ma

  • FLOG: A system to select ‘quasi-flexible’ ligands complementary to a receptor of known three-dimensional structure

    Michael D. Miller;Simon K. Kearsley;Dennis J. Underwood;Robert P. Sheridan

  • Similarity to molecules in the training set is a good discriminator for prediction accuracy in QSAR.

    Robert P. Sheridan;Bradley P. Feuston;Vladimir N. Maiorov;Simon K. Kearsley

  • The most common chemical replacements in drug-like compounds.

    Robert P. Sheridan

  • Molecular Shape and Medicinal Chemistry: A Perspective.

    Anthony Nicholls;Georgia B. McGaughey;Robert P. Sheridan;Andrew C. Good

  • CHEMICAL SIMILARITY USING PHYSIOCHEMICAL PROPERTY DESCRIPTORS

    Simon K. Kearsley;Susan Sallamack;Eugene M. Fluder;Joseph D. Andose

  • Is Multitask Deep Learning Practical for Pharma

    Bharath Ramsundar;Bowen Liu;Zhenqin Wu;Andreas Verras

  • Using a Genetic Algorithm To Suggest Combinatorial Libraries

    Robert P. Sheridan;Simon K. Kearsley

  • Chemical Similarity Using Geometric Atom Pair Descriptors

    Robert P. Sheridan;Michael D. Miller;and Dennis J. Underwood;Simon K. Kearsley

  • Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity Relationships.

    Yuting Xu;Junshui Ma;Andy Liaw;Robert P. Sheridan

  • Deep Dive into Machine Learning Models for Protein Engineering.

    Yuting Xu;Deeptak Verma;Robert P. Sheridan;Andy Liaw

  • Mapping the dark space of chemical reactions with extended nanomole synthesis and MALDI-TOF MS.

    Shishi Lin;Sergei Dikler;William D. Blincoe;Ronald D. Ferguson

  • Protocols for bridging the peptide to nonpeptide gap in topological similarity searches.

    Robert P. Sheridan;Suresh B. Singh;Eugene M. Fluder;Simon K. Kearsley

  • Flexibases: a way to enhance the use of molecular docking methods.

    Simon K. Kearsley;Dennis J. Underwood;Robert P. Sheridan;Michael D. Miller

  • Using Random Forest To Model the Domain Applicability of Another Random Forest Model

    Robert P. Sheridan

  • 3DSEARCH: a system for three-dimensional substructure searching

    Robert P. Sheridan;Ramaswamy Nilakantan;Andrew Rusinko;Norman Bauman

  • Using CONCORD to construct a large database of three-dimensional coordinates from connection tables

    Andrew Rusinko;Robert P. Sheridan;Ramaswamy Nilakantan;Kevin S. Haraki

  • PATTY: A programmable atom type and language for automatic classification of atoms in molecular databases

    Bruce L. Bush;Robert P. Sheridan

Frequent Co-Authors

Michael D. Miller
Michael D. Miller United States Military Academy
Christopher J. Welch
Christopher J. Welch Indiana Consortium for Analytical Science & Engineering
Eugene N. Muratov
Eugene N. Muratov University of North Carolina at Chapel Hill
Alexandre Varnek
Alexandre Varnek University of Strasbourg
Christian Roussel
Christian Roussel Aix-Marseille University
David A. Winkler
David A. Winkler La Trobe University
Olexandr Isayev
Olexandr Isayev Carnegie Mellon University
Alexander Tropsha
Alexander Tropsha University of North Carolina at Chapel Hill
Jürgen Bajorath
Jürgen Bajorath University of Bonn
Alán Aspuru-Guzik
Alán Aspuru-Guzik University of Toronto

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:

Best Scientists Citing Robert P. Sheridan

Trending Scientists

Recently Published Articles