Peter C. Preusch

924 citations
33 papers · 769 · h-index 13

Impact in

  • Toxicology top 0.5%
    • Bioactive Compounds and Antitumor Agents
    • Pharmacogenetics and Drug Metabolism

Papers in

Peter C. Preusch

32 papers receiving 732 citations

Peers

Peter C. Preusch
Comparison fields: 5 of 92
  • Toxicology 234
  • Pharmacology 165
  • Nutrition and Dietetics 192
  • Biochemistry 65
  • Molecular Biology 390
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Jacques Riby United States
Yuguang Wang China
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Vangala V. Subrahmanyam United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter C. Preusch

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. Preusch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Metabolism of mitomycin C by DT-diaphorase: role in mitomycin C-induced DNA damage and cytotoxicity in human colon carcinoma cells.
1990207
2
Metabolism of diaziquone by NAD(P)H:(quinone acceptor) oxidoreductase (DT-diaphorase): role in diaziquone-induced DNA damage and cytotoxicity in human colon carcinoma cells.
1990115
3 199168
4 198351
5 198445
6 198341
7 199028
8 199226
9 198421
10 198419
11 200816
12 200414
13 198812
14 198112
15 198612
16 198911
17 198411
18 198811
19 19839
20 20078

About Peter C. Preusch

Peter C. Preusch is a scholar working on Nutrition and Dietetics, Molecular Biology, Pharmacology, Toxicology and Organic Chemistry, having authored 33 papers that have together received 769 indexed citations. Recurring topics across this work include Vitamin K Research Studies (12 papers), Pharmacogenetics and Drug Metabolism (8 papers), Bioactive Compounds and Antitumor Agents (7 papers), Vitamin C and Antioxidants Research (4 papers), Hormonal Regulation and Hypertension (4 papers), Cancer therapeutics and mechanisms (4 papers), Synthesis and Reactions of Organic Compounds (3 papers) and Synthesis and Biological Evaluation (3 papers). The work is most often cited by research in Toxicology (234 citations), Pharmacology (165 citations), Nutrition and Dietetics (192 citations), Biochemistry (65 citations) and Molecular Biology (390 citations). Peter C. Preusch has collaborated with scholars based in United States. Frequent co-authors include David Siegel, David Ross, John W. Suttie, Neil W. Gibson, David M. Smalley, Emily R. Hildebrandt, Michael J. Fasco, Jamila Patterson, Ellen Hildebrandt and Susan Hazelett. Their work appears in journals such as Journal of Nutrition, Archives of Biochemistry and Biophysics, Biochemical Pharmacology, The Journal of Organic Chemistry and Free Radical Biology and Medicine.

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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