Jack E. Dabbs

405 citations
17 papers · 361 · h-index 10

Impact in

    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism
    • Drug Transport and Resistance Mechanisms

Papers in

Jack E. Dabbs

15 papers receiving 335 citations

Peers

Jack E. Dabbs
Comparison fields: 5 of 80
  • Pharmacology 115
  • Oncology 138
  • Hepatology 33
  • Pediatrics, Perinatology and Child Health 55
  • Cancer Research 35
Replace Charles E. Ruegg with:
Charles E. Ruegg United States
T F Kalhorn United States
J P Leroux France
L. Giuliani Italy
J.P. Benhamou France
J Loeper France
K. N. Ham Australia
C. C. Funder Australia
Noriko Masubuchi Japan
Burke United States
Jack E. Dabbs relative to Charles E. Ruegg United States Charles E. Ruegg's profile →
Citations per field
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Charles E. Ruegg · 1×
Citations per year

Countries citing papers authored by Jack E. Dabbs

Since Specialization
Citations

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

Fields of papers citing papers by Jack E. Dabbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Biliary excretion mechanism of CPT-11 and its metabolites in humans: involvement of primary active transporters.
199882
2 199951
3 199448
4 198445
5 198336
6 199324
7 201518
8 198116
9 199111
10 20029
11 19908
12 19905
13 19894
14 19912
15 19812
16 19820
17 19800

About Jack E. Dabbs

Jack E. Dabbs is a scholar working on Molecular Biology, Oncology, Pharmacology, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health, having authored 17 papers that have together received 361 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Ion Transport and Channel Regulation (2 papers), Neonatal Health and Biochemistry (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Pharmacology (115 citations), Oncology (138 citations), Hepatology (33 citations), Pediatrics, Perinatology and Child Health (55 citations) and Cancer Research (35 citations). Jack E. Dabbs has collaborated with scholars based in United States and Japan. Frequent co-authors include Charles A. Tyson, Carol E. Green, Kayoko Niinuma, Hiroshi Suzuki, Yuichi Sugiyama, C.A. Tyson, Kimie Sai, David W. Thomas, Ryuichi Hasegawa and Kazumitsu Ueda. Their work appears in journals such as Investigative Radiology, Advances in experimental medicine and biology, Toxicology and Applied Pharmacology, Renal Failure and Toxicology in Vitro.

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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