Michael C. Kohn

1.6k total citations
47 papers, 1.3k citations indexed

About

Michael C. Kohn is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Cancer Research. According to data from OpenAlex, Michael C. Kohn has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Health, Toxicology and Mutagenesis and 13 papers in Cancer Research. Recurrent topics in Michael C. Kohn's work include Carcinogens and Genotoxicity Assessment (11 papers), Toxic Organic Pollutants Impact (9 papers) and Effects and risks of endocrine disrupting chemicals (9 papers). Michael C. Kohn is often cited by papers focused on Carcinogens and Genotoxicity Assessment (11 papers), Toxic Organic Pollutants Impact (9 papers) and Effects and risks of endocrine disrupting chemicals (9 papers). Michael C. Kohn collaborates with scholars based in United States. Michael C. Kohn's co-authors include Ronald L. Melnick, Christopher J. Portier, David Garfinkel, George W. Lucier, Charles H. Sewall, William F. Greenlee, Douglas A. Bell, Frank Ye, George C. Clark and Angelika Tritscher and has published in prestigious journals such as Journal of the American Chemical Society, Environmental Health Perspectives and European Journal of Biochemistry.

In The Last Decade

Michael C. Kohn

47 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael C. Kohn United States 19 577 429 350 92 82 47 1.3k
Ellen C. Henry United States 21 677 1.2× 387 0.9× 391 1.1× 112 1.2× 104 1.3× 31 1.3k
Willy A. Solis United States 10 500 0.9× 437 1.0× 281 0.8× 139 1.5× 59 0.7× 14 1.1k
Gisela Witz United States 23 266 0.5× 527 1.2× 386 1.1× 63 0.7× 132 1.6× 61 1.5k
Hasso Seibert Germany 21 465 0.8× 346 0.8× 182 0.5× 61 0.7× 68 0.8× 45 1.3k
James R. Rabinowitz United States 17 334 0.6× 337 0.8× 191 0.5× 42 0.5× 127 1.5× 49 1.3k
Mark R. Fielden United States 24 504 0.9× 659 1.5× 332 0.9× 181 2.0× 76 0.9× 42 1.7k
Michael Gülden Germany 19 435 0.8× 355 0.8× 173 0.5× 60 0.7× 62 0.8× 40 1.2k
Rebecca A. Clewell United States 26 947 1.6× 475 1.1× 346 1.0× 88 1.0× 86 1.0× 63 1.7k
Gary L. Foureman United States 17 343 0.6× 291 0.7× 168 0.5× 164 1.8× 65 0.8× 28 1.0k
Paul M. Schlosser United States 23 560 1.0× 299 0.7× 444 1.3× 158 1.7× 49 0.6× 57 1.5k

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-authorship network of co-authors of Michael C. Kohn

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Kohn. A scholar is included among the top collaborators of Michael C. Kohn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael C. Kohn. Michael C. Kohn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Miller, Chris R., et al.. (2007). Absolute estimation of initial concentrations of amplicon in a real-time RT-PCR process. BMC Bioinformatics. 8(1). 409–409. 19 indexed citations
2.
Kohn, Michael C., et al.. (2003). Area under the curve as a dose metric for promotional responses following 2,3,7,8-tetrachlorodibenzo-p-dioxin exposure. Toxicology and Applied Pharmacology. 191(1). 12–21. 4 indexed citations
3.
Melnick, Ronald L., George W. Lucier, Mary S. Wolfe, et al.. (2002). Summary of the National Toxicology Program's report of the endocrine disruptors low-dose peer review.. Environmental Health Perspectives. 110(4). 427–431. 251 indexed citations
4.
Kohn, Michael C.. (2002). Use of Sensitivity Analysis to Assess Reliability of Metabolic and Physiological Models. Risk Analysis. 22(3). 623–631. 9 indexed citations
5.
Kohn, Michael C., et al.. (2002). Impact of Physiologically Based Pharmacokinetic Modeling on Benchmark Dose Calculations for TCDD-Induced Biochemical Responses. Regulatory Toxicology and Pharmacology. 36(3). 287–296. 10 indexed citations
6.
Kohn, Michael C., et al.. (2002). Robustness of MetaNet graph models:. Biosystems. 65(1). 61–78. 7 indexed citations
7.
Kohn, Michael C., Ronald L. Melnick, Frank Ye, & Christopher J. Portier. (2002). Pharmacokinetics of Sodium Nitrite-Induced Methemoglobinemia in the Rat. Drug Metabolism and Disposition. 30(6). 676–683. 81 indexed citations
8.
Kohn, Michael C. & Ronald L. Melnick. (2001). Physiological modeling of butadiene disposition in mice and rats. Chemico-Biological Interactions. 135-136. 285–301. 16 indexed citations
9.
Kohn, Michael C., et al.. (2000). DOSE-RESPONSE ANALYSES OF EXPERIMENTAL CANCER DATA. Drug Metabolism Reviews. 32(2). 193–209. 12 indexed citations
10.
Kohn, Michael C. & Ronald L. Melnick. (2000). The Privileged Access Model of 1,3-Butadiene Disposition. Environmental Health Perspectives. 108. 911–911. 4 indexed citations
11.
Kohn, Michael C., et al.. (1999). A physiological model for ligand-induced accumulation of αu globulin in male rat kidney. Toxicology. 136(2-3). 89–105. 5 indexed citations
12.
Kohn, Michael C., et al.. (1997). A Mathematical Model of Production, Distribution, and Metabolism of Melatonin in Mammalian Systems. Toxicology and Applied Pharmacology. 147(1). 83–92. 10 indexed citations
13.
Kohn, Michael C., Charles H. Sewall, George W. Lucier, & Christopher J. Portier. (1996). A Mechanistic Model of Effects of Dioxin on Thyroid Hormones in the Rat. Toxicology and Applied Pharmacology. 136(1). 29–48. 82 indexed citations
14.
Kohn, Michael C. & Ronald L. Melnick. (1996). Effects of the structure of a toxicokinetic model of butadiene inhalation exposure on computed production of carcinogenic intermediates. Toxicology. 113(1-3). 31–39. 19 indexed citations
15.
Kohn, Michael C.. (1995). Biochemical mechanisms and cancer risk assessment models for dioxin. Toxicology. 102(1-2). 133–138. 10 indexed citations
16.
Melnick, Ronald L. & Michael C. Kohn. (1995). Mechanistic data indicate that 1,3-butadiene is a human carcinogen. Carcinogenesis. 16(2). 157–163. 66 indexed citations
17.
Kohn, Michael C. & Christopher J. Portier. (1993). Effects of the Mechanism of Receptor‐Mediated Gene Expression on the Shape of the Dose‐Response Curve. Risk Analysis. 13(5). 565–572. 20 indexed citations
18.
19.
Kohn, Michael C., et al.. (1991). Identification of regulatory properties of metabolic networks by graph theoretical modeling. Journal of Theoretical Biology. 150(1). 3–25. 16 indexed citations
20.
Garfinkel, David, et al.. (1978). Construction of more reliable complex metabolic models without repeated solution of their constituent differential equations. Mathematics and Computers in Simulation. 20(1). 18–27. 7 indexed citations

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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