Scot Mente
Impact in
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- Photochemistry and Electron Transfer Studies
- Biological Psychiatry top 10%
Papers in
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- Computational Drug Discovery Methods 9
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- Pharmacological Receptor Mechanisms and Effects 4
- Receptor Mechanisms and Signaling 4
- Protein Kinase Regulation and GTPase Signaling 3
- Phosphodiesterase function and regulation 3
- Co-authors
- Mark Maroncelli (3 shared papers)Franco Lombardo (1 shared paper)Max Kühn (1 shared paper)Travis T. Wager (5 shared papers)David L. Gray (3 shared papers)Jennifer E. Davoren (2 shared papers)Jennifer L. Liras (1 shared paper)Patrick E. Trapa (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (8 papers)Bioorganic & Medicinal Chemistry Letters (4 papers)Annual reports in medicinal chemistry (2 papers)ACS Medicinal Chemistry Letters (2 papers)Cancer Discovery (2 papers)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Scot Mente
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Physical and Theoretical Chemistry 187
- Biological Psychiatry 33
- Organic Chemistry 334
- Biochemistry 82
- Cellular and Molecular Neuroscience 165
Countries citing papers authored by Scot Mente
This map shows the geographic impact of Scot Mente'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 Scot Mente with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scot Mente more than expected).
Fields of papers citing papers by Scot Mente
This network shows the impact of papers produced by Scot Mente. 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 Scot Mente. The network helps show where Scot Mente may publish in the future.
Co-authors
The 25 scholars most cited alongside Scot Mente, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 124 | |
| 2 | 2011 | 105 | |
| 3 | 2009 | 104 | |
| 4 | 1999 | 94 | |
| 5 | 2018 | 82 | |
| 6 | 2018 | 72 | |
| 7 | 2017 | 69 | |
| 8 | 2018 | 67 | |
| 9 | 2005 | 44 | |
| 10 | 2009 | 43 | |
| 11 | 2017 | 37 | |
| 12 | 2024 | 34 | |
| 13 | 2013 | 31 | |
| 14 | 2014 | 31 | |
| 15 | 2012 | 30 | |
| 16 | 2022 | 30 | |
| 17 | 2018 | 28 | |
| 18 | 2017 | 27 | |
| 19 | 2017 | 23 | |
| 20 | 2012 | 23 |
About Scot Mente
Scot Mente is a scholar working on Computational Theory and Mathematics, Molecular Biology, Physical and Theoretical Chemistry, Pharmacology and Spectroscopy, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Receptor Mechanisms and Signaling (4 papers), Analytical Chemistry and Chromatography (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Photochemistry and Electron Transfer Studies (3 papers) and Phosphodiesterase function and regulation (3 papers). The work is most often cited by research in Physical and Theoretical Chemistry (187 citations), Biological Psychiatry (33 citations), Organic Chemistry (334 citations), Biochemistry (82 citations) and Cellular and Molecular Neuroscience (165 citations). Scot Mente has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Mark Maroncelli, Franco Lombardo, Max Kühn, Travis T. Wager, David L. Gray, Jennifer E. Davoren, Jennifer L. Liras, Patrick E. Trapa, George J. DeMarco and Edward R. Guilmette. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Annual reports in medicinal chemistry, ACS Medicinal Chemistry Letters and Cancer Discovery.
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.