Brian D. Chapron
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
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- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Bio-sensing Technologies
Papers in
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- Pharmacogenetics and Drug Metabolism 5
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- Ion Transport and Channel Regulation 1
- Pluripotent Stem Cells Research 1
- Co-authors
- Jonathan Himmelfarb (3 shared papers)Alenka Chapron (4 shared papers)Yoshiyuki Yamaura (2 shared papers)Kenneth E. Thummel (4 shared papers)Edward J. Kelly (3 shared papers)Danny D. Shen (3 shared papers)Jenna L. Voellinger (2 shared papers)Thomas Neumann (2 shared papers)
- Journals
- Drug Metabolism and Disposition (3 papers)British Journal of Clinical Pharmacology (1 paper)Clinical and Translational Science (1 paper)ALTEX (1 paper)Journal of Pharmacy & Pharmaceutical Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Brian D. Chapron
10 papers receiving 398 citations
Peers
Comparison fields: 5 of 72
- Pharmacology 47
- Biomedical Engineering 176
- Nephrology 25
- Pathology and Forensic Medicine 48
- Transplantation 6
Countries citing papers authored by Brian D. Chapron
This map shows the geographic impact of Brian D. Chapron'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 Brian D. Chapron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian D. Chapron more than expected).
Fields of papers citing papers by Brian D. Chapron
This network shows the impact of papers produced by Brian D. Chapron. 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 Brian D. Chapron. The network helps show where Brian D. Chapron may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian D. Chapron, 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 | 2016 | 194 | |
| 2 | 2015 | 47 | |
| 3 | 2018 | 39 | |
| 4 | 2017 | 34 | |
| 5 | 2020 | 24 | |
| 6 | 2018 | 22 | |
| 7 | 2021 | 19 | |
| 8 | 2020 | 13 | |
| 9 | 2015 | 7 | |
| 10 | 2020 | 5 |
About Brian D. Chapron
Brian D. Chapron is a scholar working on Pharmacology, Molecular Biology, Pathology and Forensic Medicine, Oncology and Physiology, having authored 10 papers that have together received 404 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Drug Transport and Resistance Mechanisms (2 papers), Vitamin D Research Studies (2 papers), 3D Printing in Biomedical Research (2 papers), Trypanosoma species research and implications (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Ion Transport and Channel Regulation (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Pharmacology (47 citations), Biomedical Engineering (176 citations), Nephrology (25 citations), Pathology and Forensic Medicine (48 citations) and Transplantation (6 citations). Brian D. Chapron has collaborated with scholars based in United States. Frequent co-authors include Jonathan Himmelfarb, Alenka Chapron, Yoshiyuki Yamaura, Kenneth E. Thummel, Edward J. Kelly, Danny D. Shen, Jenna L. Voellinger, Thomas Neumann, Catherine K. Yeung and Dale W. Hailey. Their work appears in journals such as Drug Metabolism and Disposition, British Journal of Clinical Pharmacology, Clinical and Translational Science, ALTEX and Journal of Pharmacy & Pharmaceutical Sciences.
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.