Michael C. Kohn

1.7k citations
50 papers · 1.5k · h-index 20

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 9
    • Protein Structure and Dynamics 6
    • Bioinformatics and Genomic Networks 5
    • Gene Regulatory Network Analysis 5
    • Toxic Organic Pollutants Impact 10
    • Effects and risks of endocrine disrupting chemicals 9

Michael C. Kohn

50 papers receiving 1.4k citations

Peers

Michael C. Kohn
Comparison fields: 5 of 143
  • Health, Toxicology and Mutagenesis 631
  • Chemical Health and Safety 21
  • Cancer Research 375
  • Pharmacology 101
  • Biochemistry 57
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Citations per field
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Citations per year

Countries citing papers authored by Michael C. Kohn

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Kohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002278
2
Dioxin-responsive genes: examination of dose-response relationships using quantitative reverse transcriptase-polymerase chain reaction.
1994143
3 199685
4 200282
5 200272
6 199569
7 197964
8 199350
9 199840
10 198638
11 200036
12 198330
13 198330
14 198325
15 199523
16 200122
17 197921
18 198221
19 199319
20 197319

About Michael C. Kohn

Michael C. Kohn is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Cancer Research, Spectroscopy and Pharmacology, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (12 papers), Toxic Organic Pollutants Impact (10 papers), Effects and risks of endocrine disrupting chemicals (9 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Protein Structure and Dynamics (6 papers), Bioinformatics and Genomic Networks (5 papers), Gene Regulatory Network Analysis (5 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (631 citations), Chemical Health and Safety (21 citations), Cancer Research (375 citations), Pharmacology (101 citations) and Biochemistry (57 citations). Michael C. Kohn has collaborated with scholars based in United States. Frequent co-authors include Ronald L. Melnick, Christopher J. Portier, David Garfinkel, George W. Lucier, Frank Ye, Charles H. Sewall, Julian E.A. Leakey, George M. Stancel, Kenneth R. Reuhl and William F. Greenlee. Their work appears in journals such as Journal of Theoretical Biology, Environmental Health Perspectives, Toxicology and Applied Pharmacology, Toxicology and Annals of Biomedical Engineering.

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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