Clay T. Cramer
Impact in
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
-
- Eicosanoids and Hypertension Pharmacology 6
- Co-authors
- Jeffrey C. HanselmanRoger S. NewtonStephen L. PinkoskyС. И. ФилипповRoger G. UlrichRai Ajit K. SrivastavaThomas J. VidmarDavid P. Thompson
- Journals
- Journal of Lipid Research (4 papers)Journal of Medicinal Chemistry (3 papers)Toxicology (2 papers)Toxicology in Vitro (2 papers)Pharmaceutical Research (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Clay T. Cramer
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 99
- Pharmacology 119
- Endocrinology, Diabetes and Metabolism 204
- Cancer Research 145
- Surgery 330
- Pharmaceutical Science 42
Countries citing papers authored by Clay T. Cramer
This map shows the geographic impact of Clay T. Cramer'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 Clay T. Cramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clay T. Cramer more than expected).
Fields of papers citing papers by Clay T. Cramer
This network shows the impact of papers produced by Clay T. Cramer. 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 Clay T. Cramer. The network helps show where Clay T. Cramer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Clay T. Cramer, 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 | 2023 | 13 | |
| 2 | 2019 | 55 | |
| 3 | 2012 | 240 | |
| 4 | 2012 | 191 | |
| 5 | Lipophilicity parameters and biological activity in a series of compounds with potential cardiovascular applications | 2004 | 15 |
| 6 | 2004 | 61 | |
| 7 | 2004 | 1 | |
| 8 | 1998 | 7 | |
| 9 | 1998 | 18 | |
| 10 | 1996 | 11 | |
| 11 | 1995 | 36 | |
| 12 | 1995 | 31 | |
| 13 | 1994 | 11 | |
| 14 | 1991 | 6 | |
| 15 | 1991 | 33 | |
| 16 | 1990 | 15 | |
| 17 | 1989 | 141 | |
| 18 | 1989 | 3 | |
| 19 | 1989 | 9 | |
| 20 | 1988 | 19 |
About Clay T. Cramer
Clay T. Cramer is a scholar working on Biochemistry, Pharmacology, Nutrition and Dietetics, Hepatology and Molecular Biology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Fatty Acid Research and Health (4 papers), Neonatal Health and Biochemistry (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). The work is most often cited by research in Pharmacology (119 citations), Endocrinology, Diabetes and Metabolism (204 citations), Cancer Research (145 citations), Surgery (330 citations) and Pharmaceutical Science (42 citations). Clay T. Cramer has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Jeffrey C. Hanselman, Roger S. Newton, Stephen L. Pinkosky, С. И. Филиппов, Roger G. Ulrich, Rai Ajit K. Srivastava, Thomas J. Vidmar, David P. Thompson, Rahul Srivastava and Mark A. Spahr. Their work appears in journals such as Journal of Lipid Research, Journal of Medicinal Chemistry, Toxicology, Toxicology in Vitro and Pharmaceutical Research.
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.