Alex M. Clark
- Computational Theory and Mathematics top 0.5%
- Molecular Biology top 10%
- Organic Chemistry top 10%
- Materials Chemistry
- Infectious Diseases top 5%
- Co-authors
- Sean EkinsKimberley M. ZornPaul LabuteDaniel P. RussoThomas R. LaneAntony WilliamsW.R. RoperL.J. Wright
- Topics
- Computational Drug Discovery Methods (32 papers)Genetics, Bioinformatics, and Biomedical Research (11 papers)Organometallic Complex Synthesis and Catalysis (7 papers)
- Journals
- Nature MaterialsSHILAP Revista de lepidopterologíaEnvironmental Science & Technology
- Partner nations
- United StatesCanadaNew Zealand
In The Last Decade
Alex M. Clark
65 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Computational Theory and Mathematics 784
- Molecular Biology 744
- Organic Chemistry 325
- Materials Chemistry 311
- Infectious Diseases 247
Countries citing papers authored by Alex M. Clark
This map shows the geographic impact of Alex M. 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 Alex M. Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex M. Clark more than expected).
Fields of papers citing papers by Alex M. Clark
This network shows the impact of papers produced by Alex M. 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 Alex M. Clark. The network helps show where Alex M. Clark may publish in the future.
Co-authorship network of co-authors of Alex M. Clark
This figure shows the co-authorship network connecting the top 25 collaborators of Alex M. Clark. A scholar is included among the top collaborators of Alex M. 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 Alex M. Clark. Alex M. 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 | 40 | |
| 2 | Exploiting machine learning for end-to-end drug discovery and developmentbreakdown → | 352 |
| 3 | 38 | |
| 4 | 12 | |
| 5 | 15 | |
| 6 | 9 | |
| 7 | 79 | |
| 8 | 7 | |
| 9 | 22 | |
| 10 | 12 | |
| 11 | 26 | |
| 12 | 4 | |
| 13 | 24 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 30 | |
| 18 | Computational Biology Service Unit: Cornell University Core Facility for Computational Biology | 1 |
| 19 | 16 | |
| 20 | 27 |
About Alex M. Clark
Alex M. Clark is a scholar working on Computational Theory and Mathematics, Information Systems and Management and Infectious Diseases, having authored 66 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (32 papers), Genetics, Bioinformatics, and Biomedical Research (11 papers) and Organometallic Complex Synthesis and Catalysis (7 papers). The work is most often cited by research in Computational Theory and Mathematics (784 citations), Health Informatics (30 citations) and Infectious Diseases (247 citations). Alex M. Clark has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include Sean Ekins, Kimberley M. Zorn, Paul Labute, Daniel P. Russo, Thomas R. Lane, Antony Williams, W.R. Roper, L.J. Wright, Clifton E. F. Rickard and Ana C. Puhl. Their work appears in journals such as Nature Materials, SHILAP Revista de lepidopterología and Environmental Science & Technology.
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.