R.C. Davis
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Lipid metabolism and biosynthesis 4
- Genetics 8
- Diabetes and associated disorders 3
- Co-authors
- Michael C. Schotz (7 shared papers)Hubert Wong (6 shared papers)Mark H. Doolittle (5 shared papers)Osnat Ben-Zeev (4 shared papers)Judith Nikazy (3 shared papers)Aldons Jake Lusis (3 shared papers)Ping-Zi Wen (1 shared paper)Janis S. Fisler (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Journal of Lipid Research (4 papers)Journal of Clinical Investigation (3 papers)Proceedings of the National Academy of Sciences (2 papers)Circulation (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
R.C. Davis
32 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Biochemistry 249
- Endocrinology, Diabetes and Metabolism 330
- Cardiology and Cardiovascular Medicine 326
- Cell Biology 200
- Genetics 256
Countries citing papers authored by R.C. Davis
This map shows the geographic impact of R.C. Davis'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 R.C. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.C. Davis more than expected).
Fields of papers citing papers by R.C. Davis
This network shows the impact of papers produced by R.C. Davis. 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 R.C. Davis. The network helps show where R.C. Davis may publish in the future.
Co-authors
The 25 scholars most cited alongside R.C. Davis, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 144 | |
| 2 | 1987 | 124 | |
| 3 | 1998 | 118 | |
| 4 | 1986 | 94 | |
| 5 | 1992 | 94 | |
| 6 | 2001 | 80 | |
| 7 | 1992 | 72 | |
| 8 | 1991 | 68 | |
| 9 | 1989 | 65 | |
| 10 | 1991 | 58 | |
| 11 | 1990 | 57 | |
| 12 | 1994 | 54 | |
| 13 | 1998 | 48 | |
| 14 | 1994 | 45 | |
| 15 | 1987 | 39 | |
| 16 | 1990 | 39 | |
| 17 | 1993 | 37 | |
| 18 | 1996 | 34 | |
| 19 | 1995 | 33 | |
| 20 | 1996 | 33 |
About R.C. Davis
R.C. Davis is a scholar working on Biochemistry, Genetics, Cell Biology, Molecular Biology and Cancer Research, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Pancreatic function and diabetes (4 papers), Lipid metabolism and biosynthesis (4 papers), Diabetes and associated disorders (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Adipose Tissue and Metabolism (3 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Biochemistry (249 citations), Endocrinology, Diabetes and Metabolism (330 citations), Cardiology and Cardiovascular Medicine (326 citations), Cell Biology (200 citations) and Genetics (256 citations). R.C. Davis has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Michael C. Schotz, Hubert Wong, Mark H. Doolittle, Osnat Ben-Zeev, Judith Nikazy, Aldons Jake Lusis, Ping-Zi Wen, Janis S. Fisler, Margarete Mehrabian and Gisela Stahnke. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences and Circulation.
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.