Jack E. Dabbs
Impact in
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
-
- Drug Transport and Resistance Mechanisms
Papers in
- Oncology 5
- Drug Transport and Resistance Mechanisms 5
-
- Ion Transport and Channel Regulation 1
- Co-authors
- Charles A. Tyson (7 shared papers)Carol E. Green (4 shared papers)Hiroshi Suzuki (2 shared papers)Yuichi Sugiyama (2 shared papers)Kayoko Niinuma (2 shared papers)C.A. Tyson (2 shared papers)Ryuichi Hasegawa (1 shared paper)David W. Thomas (1 shared paper)
- Journals
- Toxicology and Applied Pharmacology (2 papers)Advances in experimental medicine and biology (2 papers)Cancer Letters (1 paper)Investigative Radiology (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Jack E. Dabbs
14 papers receiving 321 citations
Peers
Comparison fields: 5 of 79
- Pharmacology 106
- Oncology 137
- Hepatology 31
- Pediatrics, Perinatology and Child Health 52
- Cancer Research 33
Countries citing papers authored by Jack E. Dabbs
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Biliary excretion mechanism of CPT-11 and its metabolites in humans: involvement of primary active transporters. | 1998 | 81 |
| 2 | 1999 | 51 | |
| 3 | 1994 | 48 | |
| 4 | 1984 | 43 | |
| 5 | 1983 | 31 | |
| 6 | 1993 | 23 | |
| 7 | 2015 | 17 | |
| 8 | 1981 | 14 | |
| 9 | 1991 | 10 | |
| 10 | 2002 | 8 | |
| 11 | 1990 | 6 | |
| 12 | 1990 | 4 | |
| 13 | 1991 | 2 | |
| 14 | 1981 | 2 |
About Jack E. Dabbs
Jack E. Dabbs is a scholar working on Oncology, Molecular Biology, Pharmacology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 340 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Neonatal Health and Biochemistry (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Ion Transport and Channel Regulation (1 paper) and Radiation Therapy and Dosimetry (1 paper). The work is most often cited by research in Pharmacology (106 citations), Oncology (137 citations), Hepatology (31 citations), Pediatrics, Perinatology and Child Health (52 citations) and Cancer Research (33 citations). Jack E. Dabbs has collaborated with scholars based in United States and Japan. Frequent co-authors include Charles A. Tyson, Carol E. Green, Hiroshi Suzuki, Yuichi Sugiyama, Kayoko Niinuma, C.A. Tyson, Ryuichi Hasegawa, David W. Thomas, Kimie Sai and Xiaoyan Chu. Their work appears in journals such as Toxicology and Applied Pharmacology, Advances in experimental medicine and biology, Cancer Letters, Investigative Radiology and JNCI Journal of the National Cancer Institute.
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.