Scot Mente
Impact in
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- Photochemistry and Electron Transfer Studies
- Organic Chemistry top 10%
- Free Radicals and Antioxidants
Papers in
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- Computational Drug Discovery Methods 8
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- Receptor Mechanisms and Signaling 3
- Co-authors
- Mark Maroncelli (3 shared papers)Franco Lombardo (1 shared paper)Max Kühn (1 shared paper)David Gray (3 shared papers)Travis T. Wager (4 shared papers)Edward Guilmette (2 shared papers)Jennifer E. Davoren (2 shared papers)George J. DeMarco (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (3 papers)Current Topics in Medicinal Chemistry (2 papers)ACS Medicinal Chemistry Letters (2 papers)Cell chemical biology (2 papers)ACS Chemical Neuroscience (2 papers)
- Partner nations
- United StatesIranChina
In The Last Decade
Scot Mente
20 papers receiving 605 citations
Peers
Comparison fields: 5 of 82
- Physical and Theoretical Chemistry 179
- Organic Chemistry 155
- Computational Theory and Mathematics 84
- Cellular and Molecular Neuroscience 94
- Spectroscopy 64
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
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 120 | |
| 2 | 1999 | 92 | |
| 3 | 2018 | 75 | |
| 4 | 2018 | 58 | |
| 5 | 2009 | 40 | |
| 6 | 2005 | 38 | |
| 7 | 2017 | 36 | |
| 8 | 2014 | 29 | |
| 9 | 2012 | 24 | |
| 10 | 2017 | 21 | |
| 11 | 2012 | 20 | |
| 12 | 2012 | 16 | |
| 13 | 2012 | 12 | |
| 14 | 1993 | 9 | |
| 15 | 2015 | 8 | |
| 16 | 2008 | 7 | |
| 17 | 1998 | 5 | |
| 18 | 2013 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2012 | 1 |
About Scot Mente
Scot Mente is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Physical and Theoretical Chemistry and Spectroscopy, having authored 20 papers that have together received 615 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Photochemistry and Electron Transfer Studies (3 papers), Receptor Mechanisms and Signaling (3 papers), Molecular spectroscopy and chirality (2 papers), Analytical Chemistry and Chromatography (2 papers), Free Radicals and Antioxidants (2 papers), Crystallography and molecular interactions (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Physical and Theoretical Chemistry (179 citations), Organic Chemistry (155 citations), Computational Theory and Mathematics (84 citations), Cellular and Molecular Neuroscience (94 citations) and Spectroscopy (64 citations). Scot Mente has collaborated with scholars based in United States, Iran and China. Frequent co-authors include Mark Maroncelli, Franco Lombardo, Max Kühn, David Gray, Travis T. Wager, Edward Guilmette, Jennifer E. Davoren, George J. DeMarco, Jennifer L. Liras and Michael Ehlers. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Current Topics in Medicinal Chemistry, ACS Medicinal Chemistry Letters, Cell chemical biology and ACS Chemical Neuroscience.
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.