Brian Carr
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
- Pharmacology 12
- Pharmacogenetics and Drug Metabolism 12
- Drug-Induced Hepatotoxicity and Protection 5
- Oncology 10
- Drug Transport and Resistance Mechanisms 8
- Co-authors
- Dan A. Hanson (1 shared paper)Thomas J. Goralski (1 shared paper)Alan M. Krensky (1 shared paper)Xiaoyan Chu (1 shared paper)Raymond Evers (1 shared paper)Garold S. Yost (3 shared papers)Niresh Hariparsad (1 shared paper)Jie Wan (2 shared papers)
- Journals
- Drug Metabolism and Disposition (6 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Alcohol (2 papers)Bioconjugate Chemistry (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Brian Carr
33 papers receiving 771 citations
Peers
Comparison fields: 5 of 94
- Pharmacology 195
- Microbiology 94
- Virology 67
- Immunology 192
- Oncology 129
Countries citing papers authored by Brian Carr
This map shows the geographic impact of Brian Carr'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 Carr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Carr more than expected).
Fields of papers citing papers by Brian Carr
This network shows the impact of papers produced by Brian Carr. 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 Carr. The network helps show where Brian Carr may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Carr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 233 | |
| 2 | 2008 | 70 | |
| 3 | 2019 | 51 | |
| 4 | 2006 | 49 | |
| 5 | 2003 | 36 | |
| 6 | 2013 | 34 | |
| 7 | 2014 | 30 | |
| 8 | 2005 | 29 | |
| 9 | 2022 | 26 | |
| 10 | 2006 | 26 | |
| 11 | 2014 | 22 | |
| 12 | 2003 | 22 | |
| 13 | 2018 | 21 | |
| 14 | 2005 | 19 | |
| 15 | 1998 | 16 | |
| 16 | 2006 | 15 | |
| 17 | 2014 | 15 | |
| 18 | 2008 | 14 | |
| 19 | 1993 | 10 | |
| 20 | 1999 | 8 |
About Brian Carr
Brian Carr is a scholar working on Pharmacology, Oncology, Immunology, Virology and Endocrine and Autonomic Systems, having authored 33 papers that have together received 790 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (12 papers), Drug Transport and Resistance Mechanisms (8 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), RNA Interference and Gene Delivery (4 papers), Immune Cell Function and Interaction (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), HIV Research and Treatment (3 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Pharmacology (195 citations), Microbiology (94 citations), Virology (67 citations), Immunology (192 citations) and Oncology (129 citations). Brian Carr has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Dan A. Hanson, Thomas J. Goralski, Alan M. Krensky, Xiaoyan Chu, Raymond Evers, Garold S. Yost, Niresh Hariparsad, Jie Wan, Yulin Fang and Ronald N. Hines. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics, Alcohol, Bioconjugate Chemistry and The Journal of Immunology.
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.