Brian Carr
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
- Oncology 15
- Drug Transport and Resistance Mechanisms 8
- CAR-T cell therapy research 5
- Pharmacology 12
- Pharmacogenetics and Drug Metabolism 12
- Drug-Induced Hepatotoxicity and Protection 5
- Co-authors
- Alan M. Krensky (1 shared paper)Dan Hanson (1 shared paper)Thomas J. Goralski (1 shared paper)Niresh Hariparsad (1 shared paper)Raymond Evers (1 shared paper)Xiaoyan Chu (1 shared paper)Garold S. Yost (3 shared papers)Yulin Fang (3 shared papers)
- Journals
- Drug Metabolism and Disposition (6 papers)Alcohol (2 papers)Bioconjugate Chemistry (2 papers)The Journal of Immunology (2 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)
- Partner nations
- United StatesNew ZealandUnited Kingdom
In The Last Decade
Brian Carr
35 papers receiving 692 citations
Peers
Comparison fields: 5 of 93
- Pharmacology 171
- Microbiology 94
- Virology 57
- Immunology 189
- Oncology 116
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 228 | |
| 2 | 2008 | 62 | |
| 3 | 2006 | 48 | |
| 4 | 2019 | 43 | |
| 5 | 2013 | 33 | |
| 6 | 2003 | 31 | |
| 7 | 2005 | 29 | |
| 8 | 2022 | 24 | |
| 9 | 2006 | 22 | |
| 10 | 2014 | 21 | |
| 11 | 2018 | 20 | |
| 12 | 1998 | 16 | |
| 13 | 2003 | 15 | |
| 14 | 2005 | 15 | |
| 15 | 2014 | 14 | |
| 16 | 2006 | 14 | |
| 17 | 2008 | 11 | |
| 18 | 1993 | 10 | |
| 19 | 1999 | 8 | |
| 20 | 1995 | 7 |
About Brian Carr
Brian Carr is a scholar working on Oncology, Pharmacology, Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 710 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (12 papers), Drug Transport and Resistance Mechanisms (8 papers), Immunotherapy and Immune Responses (6 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Pharmacology (171 citations), Microbiology (94 citations), Virology (57 citations), Immunology (189 citations) and Oncology (116 citations). Brian Carr has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Alan M. Krensky, Dan Hanson, Thomas J. Goralski, Niresh Hariparsad, Raymond Evers, Xiaoyan Chu, Garold S. Yost, Yulin Fang, Michael R. Franklin and A. David Rodrigues. Their work appears in journals such as Drug Metabolism and Disposition, Alcohol, Bioconjugate Chemistry, The Journal of Immunology and Journal of Pharmacology and Experimental Therapeutics.
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.