J. Werringloer

34 papers receiving 1.4k citations

Peers

J. Werringloer
Comparison fields: 5 of 104
  • Pharmacology 710
  • Biochemistry 338
  • Clinical Biochemistry 74
  • Pharmacology 174
  • Oncology 261
Replace Kenneth C. Leibman with:
Kenneth C. Leibman United States
L R Pohl United States
Richard T. Okita United States
Y. Yasukochi Japan
Eugene G. Hrycay Canada
A. H. Conney United States
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Frederick J. Di Carlo United States
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Citations per field
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Citations per year

Countries citing papers authored by J. Werringloer

Since Specialization
Citations

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

Fields of papers citing papers by J. Werringloer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978277
2 1981245
3 1978148
4 1978140
5 198691
6 197588
7
Lack of phenobarbital-mediated promotion of hepatocarcinogenesis in connexin32-null mice.
200071
8 198261
9 197149
10 197339
11 198436
12 198034
13
Studies on the molecular function of cytochrome P-450 during drug metabolism.
197431
14 197526
15
Oxycytochrome P-450: its breakdown to superoxide for the formation of hydrogen peroxide.
197925
16 197922
17 197519
18 199018
19 197418
20 197011

About J. Werringloer

J. Werringloer is a scholar working on Molecular Biology, Pharmacology, Biochemistry, Oncology and Physiology, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (13 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Environmental Toxicology and Ecotoxicology (3 papers), Analytical Chemistry and Chromatography (3 papers), Hormonal and reproductive studies (3 papers) and Hemoglobin structure and function (3 papers). The work is most often cited by research in Pharmacology (710 citations), Biochemistry (338 citations), Clinical Biochemistry (74 citations), Pharmacology (174 citations) and Oncology (261 citations). J. Werringloer has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include R.W. Estabrook, Ronald W. Estabrook, Russell A. Prough, Hartmut Kuthan, N. Chacos, Jorge H. Capdevila, Hiroshi Tsuji, Volker Ullrich, H Graf and B Solymoss. Their work appears in journals such as Biochemical Society Transactions, Biochemical Pharmacology, Journal of Biological Chemistry, Methods in enzymology on CD-ROM/Methods in enzymology and Drug Metabolism and Disposition.

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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