Mathew Hahn
Impact in
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
- Materials Chemistry top 2%
- Machine Learning in Materials Science
Papers in
-
- Plant biochemistry and biosynthesis 1
- Receptor Mechanisms and Signaling 1
-
- Computational Drug Discovery Methods 4
- Co-authors
- David Rogers (3 shared papers)Robert D. Brown (1 shared paper)D. W. O. Rogers (1 shared paper)John M. Zachara (1 shared paper)Yi Liu (1 shared paper)Vincent R. Vermeul (1 shared paper)Mark Rockhold (1 shared paper)Yoram Rubin (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)SLAS DISCOVERY (1 paper)Perspectives in Drug Discovery and Design (1 paper)Hydrology and earth system sciences (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- United States
In The Last Decade
Mathew Hahn
7 papers receiving 4.4k citations
Mathew Hahn's Hit Papers
Peers
Comparison fields: 5 of 141
- Computational Theory and Mathematics 3.3k
- Materials Chemistry 1.7k
- Molecular Biology 2.2k
- Pharmacology 415
- Pharmacology 206
Countries citing papers authored by Mathew Hahn
This map shows the geographic impact of Mathew Hahn'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 Mathew Hahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathew Hahn more than expected).
Fields of papers citing papers by Mathew Hahn
This network shows the impact of papers produced by Mathew Hahn. 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 Mathew Hahn. The network helps show where Mathew Hahn may publish in the future.
Co-authors
The 8 scholars most cited alongside Mathew Hahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Extended-Connectivity Fingerprints Hit paper breakdown → | 2010 | 3989 |
| 2 | 2005 | 232 | |
| 3 | 1995 | 111 | |
| 4 | 1997 | 85 | |
| 5 | 1995 | 57 | |
| 6 | 2010 | 33 | |
| 7 | 1998 | 4 |
About Mathew Hahn
Mathew Hahn is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Ocean Engineering and Geophysics, having authored 7 papers that have together received 4.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Analytical Chemistry and Chromatography (1 paper), Reservoir Engineering and Simulation Methods (1 paper), Plant biochemistry and biosynthesis (1 paper), Receptor Mechanisms and Signaling (1 paper), Geophysical and Geoelectrical Methods (1 paper), Groundwater flow and contamination studies (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (3.3k citations), Materials Chemistry (1.7k citations), Molecular Biology (2.2k citations), Pharmacology (415 citations) and Pharmacology (206 citations). Mathew Hahn has collaborated with scholars based in United States. Frequent co-authors include David Rogers, Robert D. Brown, D. W. O. Rogers, John M. Zachara, Yi Liu, Vincent R. Vermeul, Mark Rockhold and Yoram Rubin. Their work appears in journals such as Journal of Medicinal Chemistry, SLAS DISCOVERY, Perspectives in Drug Discovery and Design, Hydrology and earth system sciences and Journal of Chemical Information and Modeling.
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.