Robert D. Clark

94 papers receiving 3.2k citations

Peers

Robert D. Clark
Comparison fields: 5 of 173
  • Toxicology 330
  • Computational Theory and Mathematics 1.5k
  • Cellular and Molecular Neuroscience 420
  • Molecular Biology 1.5k
  • Spectroscopy 367
Replace Hung‐Yuan Cheng with:
Hung‐Yuan Cheng United Kingdom
Perry C. Francis United States
Xiang‐Qun Xie United States
Vincent Setola United States
Christian Laggner Austria
Meng Cui United States
Michael J. Keiser United States
Ferrán Sanz Spain
Antti Poso Finland
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Robert D. Clark relative to Hung‐Yuan Cheng United Kingdom Hung‐Yuan Cheng's profile →
Citations per field
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Hung‐Yuan Cheng · 1×
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 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996388
2 2002316
3 2004150
4 1987148
5 2006147
6 2004118
7 2012102
8 200497
9 199694
10 201193
11 199793
12 200890
13 200885
14 201481
15 200881
16 200367
17 198467
18 199867
19 197056
20 200456

About Robert D. Clark

Robert D. Clark is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Organic Chemistry and Materials Chemistry, having authored 97 papers that have together received 3.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (37 papers), Analytical Chemistry and Chromatography (13 papers), Protein Structure and Dynamics (8 papers), Machine Learning in Materials Science (7 papers), Pharmacogenetics and Drug Metabolism (7 papers), Photosynthetic Processes and Mechanisms (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 (330 citations), Computational Theory and Mathematics (1.5k citations), Cellular and Molecular Neuroscience (420 citations), Molecular Biology (1.5k citations) and Spectroscopy (367 citations). Robert D. Clark has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Richard D. 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, Pest Management Science 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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