S T Kunitake
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
Papers in
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- Peroxisome Proliferator-Activated Receptors 3
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- Diabetes, Cardiovascular Risks, and Lipoproteins 8
- Co-authors
- John P. Kane (12 shared papers)Mark M. Wurfel (1 shared paper)Henri S. Lichenstein (1 shared paper)Shaela Wright (1 shared paper)Carl M. Mendel (3 shared papers)Robert L. Hamilton (3 shared papers)L K Hennessy (2 shared papers)Joseph H. Rapp (2 shared papers)
- Journals
- Journal of Lipid Research (8 papers)Journal of Biological Chemistry (3 papers)Proceedings of the National Academy of Sciences (2 papers)BioTechniques (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- United StatesJapanIndia
In The Last Decade
S T Kunitake
21 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 700
- Cancer Research 376
- Surgery 749
- Immunology 303
- Biochemistry 84
Countries citing papers authored by S T Kunitake
This map shows the geographic impact of S T Kunitake'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 S T Kunitake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S T Kunitake more than expected).
Fields of papers citing papers by S T Kunitake
This network shows the impact of papers produced by S T Kunitake. 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 S T Kunitake. The network helps show where S T Kunitake may publish in the future.
Co-authors
The 25 scholars most cited alongside S T Kunitake, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 388 | |
| 2 | 1994 | 303 | |
| 3 | 1982 | 183 | |
| 4 | 1985 | 170 | |
| 5 | 1992 | 121 | |
| 6 | 1992 | 115 | |
| 7 | 1984 | 101 | |
| 8 | 1990 | 71 | |
| 9 | 2002 | 71 | |
| 10 | 1994 | 66 | |
| 11 | 1998 | 50 | |
| 12 | 1988 | 45 | |
| 13 | 1982 | 38 | |
| 14 | 1988 | 35 | |
| 15 | 1990 | 29 | |
| 16 | 1997 | 25 | |
| 17 | 1982 | 23 | |
| 18 | 1981 | 14 | |
| 19 | 1997 | 12 | |
| 20 | 2024 | 3 |
About S T Kunitake
S T Kunitake is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research and Nutrition and Dietetics, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Cancer, Lipids, and Metabolism (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Fatty Acid Research and Health (3 papers), Cholesterol and Lipid Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Lipid metabolism and disorders (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (700 citations), Cancer Research (376 citations), Surgery (749 citations), Immunology (303 citations) and Biochemistry (84 citations). S T Kunitake has collaborated with scholars based in United States, Japan and India. Frequent co-authors include John P. Kane, Mark M. Wurfel, Henri S. Lichenstein, Shaela Wright, Carl M. Mendel, Robert L. Hamilton, L K Hennessy, Joseph H. Rapp, Robert L. Hamilton and Michael Jarvis. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, BioTechniques and Analytical Biochemistry.
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.