Todd J. Kohn

571 citations
14 papers · 262 · h-index 11

Impact in

Papers in

    • Coordination Chemistry and Organometallics 3
    • Click Chemistry and Applications 3
    • Asymmetric Synthesis and Catalysis 3
    • Synthesis and Characterization of Heterocyclic Compounds 2
    • Receptor Mechanisms and Signaling 3

Todd J. Kohn

14 papers receiving 256 citations

Peers

Todd J. Kohn
Comparison fields: 5 of 42
  • Organic Chemistry 124
  • Cellular and Molecular Neuroscience 63
  • Pharmacology 48
  • Molecular Biology 149
  • Computational Theory and Mathematics 29
Replace John D. Catt with:
John D. Catt United States
Patrick Spinazze United States
Linus S. Lin United States
Tomasz M. Wróbel Poland
Patrice Désos France
Cristina Bellucci Italy
Karen S. MacMillan United States
Daniel K. Cashion United States
David A. Carcache Switzerland
Joseph D. Panarese United States
Todd J. Kohn relative to John D. Catt United States John D. Catt's profile →
Citations per field
00.5×1.5×1.9×
John D. Catt · 1×
Citations per year

Countries citing papers authored by Todd J. Kohn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Todd J. Kohn Line = papers co-authored together Todd J. Kohn links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200345
2 200736
3 200430
4 199928
5 200320
6 200318
7 200517
8 200317
9 201516
10 200815
11 199810
12 19986
13 20003
14 19981

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 Coordination Chemistry and Organometallics (3 papers), Click Chemistry and Applications (3 papers), Asymmetric Synthesis and Catalysis (3 papers), Receptor Mechanisms and Signaling (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Synthesis and Characterization of Heterocyclic Compounds (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Organic Chemistry (124 citations), Cellular and Molecular Neuroscience (63 citations), Pharmacology (48 citations), Molecular Biology (149 citations) and Computational Theory and Mathematics (29 citations). Todd J. Kohn has collaborated with scholars based in United States and Germany. Frequent co-authors include Kumiko Takeuchi, Penny G. Threlkeld, David T. Wong, Vincent P. Rocco, Janice Shaw, Patrick Spinazze, David B. Wainscott, David L. Nelson, Daniel J. Koch and Daniel J. Sall. 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.

Explore authors with similar magnitude of impact