Harold Kohn

144 papers receiving 3.4k citations

Peers

Harold Kohn
Comparison fields: 5 of 134
  • Toxicology 276
  • Organic Chemistry 1.5k
  • Molecular Biology 1.8k
  • Computational Theory and Mathematics 449
  • Psychiatry and Mental health 340
Replace Maria R. Zappala with:
Maria R. Zappala Italy
Allen B. Reitz United States
Romeo Romagnoli Italy
Zhe‐Shan Quan China
Silvana Grasso Italy
Alba Chimirri Italy
Stefania Butini Italy
Patrick Dallemagne France
Christian Sergheraert France
Perumal Yogeeswari India
Harold Kohn relative to Maria R. Zappala Italy Maria R. Zappala's profile →
Citations per field
00.5×2×3×3.9×
Maria R. Zappala · 1×
Citations per year

Countries citing papers authored by Harold Kohn

Since Specialization
Citations

This map shows the geographic impact of Harold 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 Harold Kohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harold Kohn more than expected).

Fields of papers citing papers by Harold Kohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold 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 Harold Kohn. The network helps show where Harold Kohn may publish in the future.

Co-authors

The 25 scholars most cited alongside Harold 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 Harold Kohn Line = papers co-authored together Harold Kohn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006212
2 2007143
3 1996138
4 2004129
5 2002125
6 199387
7 200580
8 198574
9 200171
10 200570
11 199170
12 200167
13 197663
14 199657
15 198755
16 200555
17 198552
18 199151
19 199045
20 199245

About Harold Kohn

Harold Kohn is a scholar working on Organic Chemistry, Toxicology, Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience, having authored 149 papers that have together received 3.5k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (27 papers), Bioactive Compounds and Antitumor Agents (27 papers), Cancer therapeutics and mechanisms (23 papers), Synthesis and Biological Evaluation (19 papers), Neuroscience and Neuropharmacology Research (18 papers), Chemical Reaction Mechanisms (17 papers), RNA and protein synthesis mechanisms (16 papers) and Epilepsy research and treatment (14 papers). The work is most often cited by research in Toxicology (276 citations), Organic Chemistry (1.5k citations), Molecular Biology (1.8k citations), Computational Theory and Mathematics (449 citations) and Psychiatry and Mental health (340 citations). Harold Kohn has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include James P. Stables, William R. Widger, Alexander Tropsha, Alexander Golbraikh, Daeock Choi, Arnaud LeTiran, J. David Leander, Christophe Salomé, Min Shen and Scott Oloff. Their work appears in journals such as The Journal of Organic Chemistry, Journal of Medicinal Chemistry, Journal of the American Chemical Society, Biochemistry and Bioorganic & 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.

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