Daniel E. Duggan

4.3k citations
74 papers · 3.9k · h-index 32

Impact in

Papers in

Daniel E. Duggan

74 papers receiving 3.2k citations

Peers

Daniel E. Duggan
Comparison fields: 5 of 114
  • Pharmacology 911
  • Pharmaceutical Science 304
  • Pharmacology 499
  • Analytical Chemistry 317
  • Biochemistry 120
Replace Thomas N. Tozer with:
Thomas N. Tozer United States
Huidi Jiang China
Neil R. Kitteringham United Kingdom
Akira Tsuji Japan
Lewis S. Schanker United States
Stefanie D. Krämer Switzerland
Heike Gutmann Switzerland
Toshinori Yamamoto Japan
Kan Chiba Japan
Hao‐Jie Zhu United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel E. Duggan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Duggan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Duggan. 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 Daniel E. Duggan. The network helps show where Daniel E. Duggan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978395
2 1990220
3 1957188
4 1987183
5 1977154
6 1972151
7 1975151
8 1990139
9 1991136
10 1976133
11 1965131
12 1977124
13 1989110
14 1956109
15 1975103
16 199287
17 195985
18 195780
19 198071
20 199065

About Daniel E. Duggan

Daniel E. Duggan is a scholar working on Pharmacology, Analytical Chemistry, Oncology, Molecular Biology and Pharmacology, having authored 74 papers that have together received 3.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (34 papers), Analytical Methods in Pharmaceuticals (9 papers), Biochemical and Molecular Research (9 papers), Drug Transport and Resistance Mechanisms (8 papers), Inflammatory mediators and NSAID effects (5 papers), Ion Transport and Channel Regulation (5 papers), Cholesterol and Lipid Metabolism (3 papers) and Amino Acid Enzymes and Metabolism (3 papers). The work is most often cited by research in Pharmacology (911 citations), Pharmaceutical Science (304 citations), Pharmacology (499 citations), Analytical Chemistry (317 citations) and Biochemistry (120 citations). Daniel E. Duggan has collaborated with scholars based in United States. Frequent co-authors include K.C. Kwan, Ronald M. Noll, Jiunn Huei Lin, Sidney Udenfriend, Kaye F. Hooke, Stanley Vickers, F. Gilbert McMahon, I W Chen, Carol A. Duncan and Bernard B. Brodie. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics, Analytical Biochemistry, Clinical Pharmacology & Therapeutics and Archives of Biochemistry and Biophysics.

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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