Keith J. Griffin
- Pharmacology top 0.02%
- Pharmacogenetics and Drug Metabolism 27
- Biochemistry top 0.5%
- Eicosanoids and Hypertension Pharmacology 8
- Hepatology top 1%
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 5
- Oncology top 2%
- Drug Transport and Resistance Mechanisms 14
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- Peroxisome Proliferator-Activated Receptors 12
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- Adipose Tissue and Metabolism 7
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- Estrogen and related hormone effects 7
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- Hormonal Regulation and Hypertension 6
- Co-authors
- Eric F. JohnsonJason K. YanoG. SchochMei‐Hui HsuMichael R. WesterJudy L. RaucyC.D. StoutMichael P. Manns
- Cited by
- PharmacologyBiochemistryHepatology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (15 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Keith J. Griffin
46 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Pharmacology 2.6k
- Biochemistry 667
- Hepatology 545
- Computational Theory and Mathematics 871
- Oncology 1.3k
Countries citing papers authored by Keith J. Griffin
This map shows the geographic impact of Keith J. Griffin'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 Keith J. Griffin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith J. Griffin more than expected).
Fields of papers citing papers by Keith J. Griffin
This network shows the impact of papers produced by Keith J. Griffin. 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 Keith J. Griffin. The network helps show where Keith J. Griffin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keith J. Griffin, 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 | 2008 | 107 | |
| 2 | 2007 | 392 | |
| 3 | 2007 | 111 | |
| 4 | 2006 | 43 | |
| 5 | 2005 | 39 | |
| 6 | 2005 | 245 | |
| 7 | The Structure of Human Microsomal Cytochrome P450 3A4 Determined by X-ray Crystallography to 2.05-Å Resolutionbreakdown → | 2004 | 585 |
| 8 | 2004 | 314 | |
| 9 | 2004 | 361 | |
| 10 | 2002 | 59 | |
| 11 | 2000 | 42 | |
| 12 | 1999 | 89 | |
| 13 | 1998 | 43 | |
| 14 | 1997 | 30 | |
| 15 | 1993 | 63 | |
| 16 | 1993 | 16 | |
| 17 | 1992 | 29 | |
| 18 | 1990 | 45 | |
| 19 | 1990 | 55 | |
| 20 | 1989 | 275 |
About Keith J. Griffin
Keith J. Griffin is a scholar working on Pharmacology, Biochemistry and Clinical Biochemistry, having authored 46 papers that have together received 5.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (27 papers), Drug Transport and Resistance Mechanisms (14 papers), Peroxisome Proliferator-Activated Receptors (12 papers), Eicosanoids and Hypertension Pharmacology (8 papers), Adipose Tissue and Metabolism (7 papers), Estrogen and related hormone effects (7 papers), Hormonal Regulation and Hypertension (6 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Pharmacology (2.6k citations), Biochemistry (667 citations) and Hepatology (545 citations). Keith J. Griffin has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Eric F. Johnson, Jason K. Yano, G. Schoch, Mei‐Hui Hsu, Michael R. Wester, Judy L. Raucy, C.D. Stout, C.D. Stout, Michael P. Manns and A. Scott Muerhoff. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.