Mathew Hahn
Impact in
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
- Small Animals top 0.5%
- Animal testing and alternatives
Papers in
-
- Computational Drug Discovery Methods 4
-
- Lipid Membrane Structure and Behavior 2
- Receptor Mechanisms and Signaling 2
- Protein Structure and Dynamics 1
- Metabolomics and Mass Spectrometry Studies 1
- Co-authors
- David O. Williams Rogers (4 shared papers)Robert D. Brown (1 shared paper)D. W. O. Rogers (1 shared paper)John M. Zachara (1 shared paper)Mark Rockhold (1 shared paper)Yoram N. Rubin (1 shared paper)Vincent R. Vermeul (1 shared paper)Yi Liu (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)Perspectives in Drug Discovery and Design (1 paper)SLAS DISCOVERY (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
8 papers receiving 5.2k citations
Mathew Hahn's Hit Papers
Peers
Comparison fields: 5 of 140
- Computational Theory and Mathematics 3.5k
- Small Animals 446
- Dermatology 447
- Materials Chemistry 1.8k
- Molecular Biology 2.4k
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 9 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 | 4817 |
| 2 | 2005 | 253 | |
| 3 | 1995 | 128 | |
| 4 | 1997 | 95 | |
| 5 | 1995 | 67 | |
| 6 | 2010 | 33 | |
| 7 | 2005 | 16 | |
| 8 | 1998 | 4 |
About Mathew Hahn
Mathew Hahn is a scholar working on Computational Theory and Mathematics, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Geophysics and Environmental Engineering, having authored 8 papers that have together received 5.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Lipid Membrane Structure and Behavior (2 papers), Receptor Mechanisms and Signaling (2 papers), Protein Structure and Dynamics (1 paper), Reservoir Engineering and Simulation Methods (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Groundwater flow and contamination studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (3.5k citations), Small Animals (446 citations), Dermatology (447 citations), Materials Chemistry (1.8k citations) and Molecular Biology (2.4k citations). Mathew Hahn has collaborated with scholars based in United States. Frequent co-authors include David O. Williams Rogers, Robert D. Brown, D. W. O. Rogers, John M. Zachara, Mark Rockhold, Yoram N. Rubin, Vincent R. Vermeul, Yi Liu and Xingyuan Chen. Their work appears in journals such as Journal of Medicinal Chemistry, Perspectives in Drug Discovery and Design, SLAS DISCOVERY, 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.