Robert D. Clark

102 papers receiving 3.6k citations

Peers

Robert D. Clark
Comparison fields: 5 of 174
  • Toxicology 350
  • Computational Theory and Mathematics 1.8k
  • Molecular Biology 1.8k
  • Cellular and Molecular Neuroscience 473
  • Pharmacology 218
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Perry C. Francis United States
Xiang‐Qun Xie United States
Vincent Setola United States
Meng Qi Cui United States
Christian Laggner Austria
Michael J. Keiser United States
Yadi Zhou United States
Travis T. Wager United States
Allen B. Reitz United States
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Citations per field
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Citations per year

Countries citing papers authored by Robert D. Clark

Since Specialization
Citations

This map shows the geographic impact of Robert D. Clark's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert D. Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert D. Clark more than expected).

Fields of papers citing papers by Robert D. Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert D. Clark. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert D. Clark. The network helps show where Robert D. Clark may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert D. Clark, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert D. Clark Line = papers co-authored together Robert D. Clark links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996426
2 2002349
3 2004184
4 1987171
5 2006165
6 2004120
7 2018115
8 1997109
9 2012107
10 1996105
11 2004105
12 2011100
13 200896
14 201493
15 200890
16 200888
17 198486
18 199872
19 200371
20 197068

About Robert D. Clark

Robert D. Clark is a scholar working on Computational Theory and Mathematics, Spectroscopy, Molecular Biology, Pharmacology and Organic Chemistry, having authored 106 papers that have together received 4.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (43 papers), Analytical Chemistry and Chromatography (12 papers), Protein Structure and Dynamics (8 papers), Pharmacogenetics and Drug Metabolism (7 papers), Photosynthetic Processes and Mechanisms (7 papers), Machine Learning in Materials Science (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Chemical Synthesis and Analysis (6 papers). The work is most often cited by research in Toxicology (350 citations), Computational Theory and Mathematics (1.8k citations), Molecular Biology (1.8k citations), Cellular and Molecular Neuroscience (473 citations) and Pharmacology (218 citations). Robert D. Clark has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include RICHARD D. III CRAMER, David E. Patterson, Michael H. Baumann, Allan M. Ferguson, Richard B. Rothman, James B. Matthew, James F. Blake, Joseph M. Leonard, John S. Partilla and Bruce E. Blough. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Journal of Chemical Information and Modeling, Journal of Molecular Graphics and Modelling, Journal of Cheminformatics and Journal of Medicinal Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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