Todd J. Kohn
Impact in
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- Synthesis and Biological Evaluation
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- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
Papers in
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- Click Chemistry and Applications 3
- Coordination Chemistry and Organometallics 3
- Asymmetric Synthesis and Catalysis 3
- Synthesis and Reactions of Organic Compounds 2
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- Receptor Mechanisms and Signaling 3
- Pharmacological Receptor Mechanisms and Effects 2
- Co-authors
- Kumiko Takeuchi (10 shared papers)Vincent P. Rocco (5 shared papers)David T. Wong (5 shared papers)Penny G. Threlkeld (5 shared papers)Janice Shaw (5 shared papers)David B. Wainscott (4 shared papers)David L. Nelson (3 shared papers)Daniel J. Koch (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (11 papers)Tetrahedron Letters (2 papers)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Todd J. Kohn
14 papers receiving 256 citations
Peers
Comparison fields: 5 of 43
- Organic Chemistry 124
- Cellular and Molecular Neuroscience 63
- Pharmacology 51
- Molecular Biology 152
- Computational Theory and Mathematics 30
Countries citing papers authored by Todd J. Kohn
This map shows the geographic impact of Todd J. Kohn'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 Todd J. Kohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd J. Kohn more than expected).
Fields of papers citing papers by Todd J. Kohn
This network shows the impact of papers produced by Todd J. Kohn. 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 Todd J. Kohn. The network helps show where Todd J. Kohn may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd J. Kohn, 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 | 2003 | 45 | |
| 2 | 2007 | 36 | |
| 3 | 2004 | 30 | |
| 4 | 1999 | 28 | |
| 5 | 2003 | 20 | |
| 6 | 2003 | 18 | |
| 7 | 2003 | 17 | |
| 8 | 2005 | 17 | |
| 9 | 2015 | 16 | |
| 10 | 2008 | 15 | |
| 11 | 1998 | 10 | |
| 12 | 1998 | 6 | |
| 13 | 2000 | 3 | |
| 14 | 1998 | 1 |
About Todd J. Kohn
Todd J. Kohn is a scholar working on Organic Chemistry, Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology and Computational Theory and Mathematics, having authored 14 papers that have together received 262 indexed citations. Recurring topics across this work include Click Chemistry and Applications (3 papers), Receptor Mechanisms and Signaling (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Coordination Chemistry and Organometallics (3 papers), Asymmetric Synthesis and Catalysis (3 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Synthesis and Reactions of Organic Compounds (2 papers). The work is most often cited by research in Organic Chemistry (124 citations), Cellular and Molecular Neuroscience (63 citations), Pharmacology (51 citations), Molecular Biology (152 citations) and Computational Theory and Mathematics (30 citations). Todd J. Kohn has collaborated with scholars based in United States and Germany. Frequent co-authors include Kumiko Takeuchi, Vincent P. Rocco, David T. Wong, Penny G. Threlkeld, Janice Shaw, David B. Wainscott, David L. Nelson, Daniel J. Koch, Jefferson R. McCowan and Donetta S. Gifford‐Moore. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters and Journal of Medicinal Chemistry.
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.