Matthew Clark
- Molecular Biology top 2%
- Organic Chemistry top 1%
- Computational Theory and Mathematics top 0.2%
- Spectroscopy top 2%
- Materials Chemistry top 10%
- Co-authors
- Richard D. CramerN. Van OpdenboschYun DingAndreas W. GötzRoss C. WalkerThomas Steger‐HartmannAnthony D. KeefeMinghu Song
- Topics
- Computational Drug Discovery Methods (14 papers)Chemical Synthesis and Analysis (14 papers)Protein Structure and Dynamics (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Matthew Clark
82 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Molecular Biology 2.7k
- Organic Chemistry 1.6k
- Computational Theory and Mathematics 1.3k
- Spectroscopy 557
- Materials Chemistry 536
Countries citing papers authored by Matthew Clark
This map shows the geographic impact of Matthew 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 Matthew Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Clark more than expected).
Fields of papers citing papers by Matthew Clark
This network shows the impact of papers produced by Matthew 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 Matthew Clark. The network helps show where Matthew Clark may publish in the future.
Co-authorship network of co-authors of Matthew Clark
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Clark. A scholar is included among the top collaborators of Matthew Clark based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Clark. Matthew Clark is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | 5 | |
| 4 | 21 | |
| 5 | 26 | |
| 6 | 9 | |
| 7 | 51 | |
| 8 | 41 | |
| 9 | 13 | |
| 10 | 46 | |
| 11 | 0 | |
| 12 | 25 | |
| 13 | 87 | |
| 14 | 23 | |
| 15 | 64 | |
| 16 | 31 | |
| 17 | 67 | |
| 18 | 6 | |
| 19 | 47 | |
| 20 | 3 |
About Matthew Clark
Matthew Clark is a scholar working on Computational Theory and Mathematics, Pharmaceutical Science and Small Animals, having authored 87 papers that have together received 5.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Chemical Synthesis and Analysis (14 papers) and Protein Structure and Dynamics (8 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Organic Chemistry (1.6k citations) and Molecular Biology (2.7k citations). Matthew Clark has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Richard D. Cramer, N. Van Opdenbosch, Yun Ding, Andreas W. Götz, Ross C. Walker, Thomas Steger‐Hartmann, Anthony D. Keefe, Minghu Song, Jennifer L. DeLorey and David E. Patterson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.