David J. Sweeny

685 citations
30 papers · 452 · h-index 13

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
    • Drug Transport and Resistance Mechanisms
    • Colorectal Cancer Treatments and Studies

Papers in

David J. Sweeny

29 papers receiving 430 citations

Peers

David J. Sweeny
Comparison fields: 5 of 77
  • Pharmacology 82
  • Oncology 113
  • Genetics 36
  • Hematology 35
  • Clinical Biochemistry 19
Replace Kiyoshi Mihara with:
Kiyoshi Mihara Japan
B. A. Skålhegg United Kingdom
Alessia Francesca Mozzi Italy
Josef Strasser United States
Yoshiteru Kamiyama Japan
Joe Palandra United States
Lucia F. Jorge-Nebert United States
Naoaki Murao Japan
Hans Stieltjes Belgium
Hugo Girard Canada
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Citations per field
00.5×3.3×
Kiyoshi Mihara · 1×
Citations per year

Countries citing papers authored by David J. Sweeny

Since Specialization
Citations

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

Fields of papers citing papers by David J. Sweeny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201075
2 200956
3 200033
4 200532
5 198727
6 198522
7 198818
8 201615
9 201014
10
Formation of conjugates of 2-fluoro-beta-alanine and bile acids during the metabolism of 5-fluorouracil and 5-fluoro-2-deoxyuridine in the isolated perfused rat liver.
198814
11 199214
12 199512
13 198112
14 198811
15 199210
16 19909
17 19869
18 19919
19 19879
20 19948

About David J. Sweeny

David J. Sweeny is a scholar working on Molecular Biology, Oncology, Pharmacology, Epidemiology and Biochemistry, having authored 30 papers that have together received 452 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Aldose Reductase and Taurine (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Alcohol Consumption and Health Effects (3 papers). The work is most often cited by research in Pharmacology (82 citations), Oncology (113 citations), Genetics (36 citations), Hematology (35 citations) and Clinical Biochemistry (19 citations). David J. Sweeny has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Robert B. Diasio, Stephen Barnes, Myron Weiner, Lester A. Reinke, H N Nellans, Elliott B. Grossbard, Muhammad Baluom, David Lau, Gary Park and Lida Antonian. Their work appears in journals such as Drug Metabolism and Disposition, Biochemical Pharmacology, Bioorganic & Medicinal Chemistry Letters, Pharmacology and Journal of Medicinal Chemistry.

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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