Steven T. Kunitake
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Thyroid Disorders and Treatments
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 6
- Surgery 6
- Lipoproteins and Cardiovascular Health 4
- Cholesterol and Lipid Metabolism 3
- Co-authors
- John P. Kane (7 shared papers)Josefina Naya-Vigne (4 shared papers)Carl M. Mendel (3 shared papers)Patricia OʼConnor (3 shared papers)Clive R. Pullinger (2 shared papers)Mary J. Malloy (2 shared papers)Philippe Duchâteau (1 shared paper)Philip H. Frost (2 shared papers)
- Journals
- Biochemistry (3 papers)Journal of Biological Chemistry (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)PROTEOMICS (1 paper)
- Partner nations
- United StatesIreland
In The Last Decade
Steven T. Kunitake
11 papers receiving 478 citations
Peers
Comparison fields: 5 of 76
- Nephrology 83
- Endocrinology, Diabetes and Metabolism 176
- Cancer Research 76
- Genetics 45
- Surgery 124
Countries citing papers authored by Steven T. Kunitake
This map shows the geographic impact of Steven 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 Steven 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 Steven T. Kunitake more than expected).
Fields of papers citing papers by Steven T. Kunitake
This network shows the impact of papers produced by Steven 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 Steven T. Kunitake. The network helps show where Steven T. Kunitake may publish in the future.
Co-authors
The 24 scholars most cited alongside Steven 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
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 182 | |
| 2 | 1987 | 73 | |
| 3 | 1993 | 54 | |
| 4 | 1994 | 51 | |
| 5 | 2003 | 43 | |
| 6 | 1986 | 32 | |
| 7 | 1988 | 16 | |
| 8 | 1997 | 15 | |
| 9 | 2021 | 12 | |
| 10 | 1996 | 10 | |
| 11 | 1978 | 10 |
About Steven T. Kunitake
Steven T. Kunitake is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Oncology and Cancer Research, having authored 11 papers that have together received 498 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (4 papers), Cholesterol and Lipid Metabolism (3 papers), Cancer, Lipids, and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Nephrology (83 citations), Endocrinology, Diabetes and Metabolism (176 citations), Cancer Research (76 citations), Genetics (45 citations) and Surgery (124 citations). Steven T. Kunitake has collaborated with scholars based in United States and Ireland. Frequent co-authors include John P. Kane, Josefina Naya-Vigne, Carl M. Mendel, Patricia OʼConnor, Clive R. Pullinger, Mary J. Malloy, Philippe Duchâteau, Philip H. Frost, Lori K. Hennessy and Ralph R. Cavalieri. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism, Methods in enzymology on CD-ROM/Methods in enzymology and PROTEOMICS.
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.