David Kupfer

5.2k citations
130 papers · 4.3k indexed · h-index 38

David Kupfer

128 papers receiving 3.8k citations

Peers

David Kupfer
Comparison fields: 5 of 118
  • Pharmacology 1.9k
  • Health, Toxicology and Mutagenesis 1.1k
  • Biochemistry 531
  • Genetics 1.4k
  • Pharmacology 578
Replace Thomas H. Rushmore with:
Thomas H. Rushmore United States
Mont R. Juchau United States
Charles N. Falany United States
Alexander W. Wood United States
Clifford R. Elcombe United Kingdom
Colin R. Jefcoate United States
Joachim G. Liehr United States
Edward Bresnick United States
Henry W. Strobel United States
Jacques Gielen Belgium
David Kupfer relative to Thomas H. Rushmore United States Thomas H. Rushmore's profile →
Citations per field
00.5×2.6×
Thomas H. Rushmore · 1×
Citations per year

Countries citing papers authored by David Kupfer

Since Specialization
Citations

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

Fields of papers citing papers by David Kupfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200522
2 20048
3 200445
4 200318
5 200231
6 200142
7 200021
8 199619
9 199463
10 199025
11 19897
12 198912
13 198818
14 198554
15
Hepatic cytochrome P-450 monooxygenase system
198264
16 19820
17
Hydroxylation of prostaglandin E1 (PGE1) by guinea pig kidney cortex microsomes
19781
18 197582
19 197364
20 197012

About David Kupfer

David Kupfer is a scholar working on Pharmacology, Biochemistry, Pharmacology, Genetics and Behavioral Neuroscience, having authored 130 papers that have together received 4.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (66 papers), Estrogen and related hormone effects (42 papers), Eicosanoids and Hypertension Pharmacology (37 papers), Inflammatory mediators and NSAID effects (23 papers), Drug Transport and Resistance Mechanisms (11 papers), Effects and risks of endocrine disrupting chemicals (10 papers), Hormonal and reproductive studies (8 papers) and Polyamine Metabolism and Applications (8 papers). The work is most often cited by research in Pharmacology (1.9k citations), Health, Toxicology and Mutagenesis (1.1k citations), Biochemistry (531 citations), Genetics (1.4k citations) and Pharmacology (578 citations). David Kupfer has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include William H. Bulger, Shangara S. Dehal, Chitra Mani, David M. Stresser, Roseanna M. Muccitelli, Anthony D. Theoharides, Susan C. Maness, Stephen Safe, Kevin W. Gaido and Venkata Ravi Prakash Reddy. Their work appears in journals such as Drug Metabolism and Disposition, Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, Analytical Biochemistry and Biochemical Pharmacology.

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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