John Harrelson
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
-
- Drug Transport and Resistance Mechanisms
Papers in
-
- Pharmacogenetics and Drug Metabolism 8
- Drug-Induced Hepatotoxicity and Protection 5
- Oncology 6
- Drug Transport and Resistance Mechanisms 5
- Co-authors
- Michael W. Lee (2 shared papers)Sidney D. Nelson (3 shared papers)Michael A. Mohutsky (2 shared papers)Jialin Mao (2 shared papers)Stephen D. Hall (2 shared papers)Steven Wrighton (2 shared papers)William M. Atkins (1 shared paper)Kirk R. Henne (1 shared paper)
- Journals
- Drug Metabolism and Disposition (5 papers)The FASEB Journal (3 papers)Biochemistry (2 papers)Cancer (1 paper)Amino Acids (1 paper)
- Partner nations
- United States
In The Last Decade
John Harrelson
16 papers receiving 301 citations
Peers
Comparison fields: 5 of 80
- Pharmacology 130
- Oncology 84
- Computational Theory and Mathematics 43
- Biochemistry 16
- Cancer Research 33
Countries citing papers authored by John Harrelson
This map shows the geographic impact of John Harrelson'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 John Harrelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Harrelson more than expected).
Fields of papers citing papers by John Harrelson
This network shows the impact of papers produced by John Harrelson. 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 John Harrelson. The network helps show where John Harrelson may publish in the future.
Co-authors
The 25 scholars most cited alongside John Harrelson, 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 | 2018 | 71 | |
| 2 | 2011 | 45 | |
| 3 | 2016 | 38 | |
| 4 | 2008 | 34 | |
| 5 | 2012 | 30 | |
| 6 | 2006 | 17 | |
| 7 | 2016 | 16 | |
| 8 | 2020 | 11 | |
| 9 | 2012 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 1989 | 10 | |
| 12 | 2017 | 4 | |
| 13 | 2016 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2019 | 1 |
About John Harrelson
John Harrelson is a scholar working on Pharmacology, Oncology, Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 304 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Trypanosoma species research and implications (2 papers), Polyamine Metabolism and Applications (2 papers), Advanced Chemical Sensor Technologies (1 paper), Pharmacological Effects and Toxicity Studies (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Pharmacology (130 citations), Oncology (84 citations), Computational Theory and Mathematics (43 citations), Biochemistry (16 citations) and Cancer Research (33 citations). John Harrelson has collaborated with scholars based in United States. Frequent co-authors include Michael W. Lee, Sidney D. Nelson, Michael A. Mohutsky, Jialin Mao, Stephen D. Hall, Steven Wrighton, William M. Atkins, Kirk R. Henne, Darwin O. V. Alonso and Brendan D. Stamper. Their work appears in journals such as Drug Metabolism and Disposition, The FASEB Journal, Biochemistry, Cancer and Amino Acids.
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.