Ken Okamura
Impact in
-
- Thyroid Disorders and Treatments
- Thyroid Cancer Diagnosis and Treatment
- Growth Hormone and Insulin-like Growth Factors
- Pituitary Gland Disorders and Treatments
- Nephrology top 5%
- Parathyroid Disorders and Treatments
Papers in
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- Thyroid Disorders and Treatments 47
- Growth Hormone and Insulin-like Growth Factors 22
- Thyroid Cancer Diagnosis and Treatment 19
- Pituitary Gland Disorders and Treatments 13
-
- Parathyroid Disorders and Treatments 7
- Co-authors
- Kaori SatoMasatoshi FujishimaHiroshi IkenoueMototaka YoshinariTakeo KurodaK InoueAlvin TaurogToshiro Nakashima
- Journals
- European Journal of Endocrinology (8 papers)Clinical Endocrinology (8 papers)The Journal of Clinical Endocrinology & Metabolism (8 papers)Endocrinology (4 papers)Clinical Nephrology (3 papers)
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Ken Okamura
81 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 820
- Nephrology 100
- Health, Toxicology and Mutagenesis 159
- Neurology 99
- Genetics 176
Countries citing papers authored by Ken Okamura
This map shows the geographic impact of Ken Okamura'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 Ken Okamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Okamura more than expected).
Fields of papers citing papers by Ken Okamura
This network shows the impact of papers produced by Ken Okamura. 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 Ken Okamura. The network helps show where Ken Okamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ken Okamura, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 2 | |
| 5 | 2014 | 10 | |
| 6 | 2014 | 46 | |
| 7 | 2007 | 9 | |
| 8 | 2004 | 12 | |
| 9 | 1999 | 3 | |
| 10 | 1998 | 27 | |
| 11 | 1998 | 11 | |
| 12 | 1996 | 13 | |
| 13 | 1992 | 13 | |
| 14 | 1992 | 13 | |
| 15 | 1991 | 25 | |
| 16 | 1990 | 11 | |
| 17 | 1989 | 52 | |
| 18 | 1988 | 13 | |
| 19 | 1987 | 58 | |
| 20 | 1983 | 33 |
About Ken Okamura
Ken Okamura is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Pathology and Forensic Medicine, Immunology and Genetics, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (47 papers), Growth Hormone and Insulin-like Growth Factors (22 papers), Thyroid Cancer Diagnosis and Treatment (19 papers), Pituitary Gland Disorders and Treatments (13 papers), Parathyroid Disorders and Treatments (7 papers), Neuroendocrine Tumor Research Advances (6 papers), Head and Neck Anomalies (4 papers) and Vitamin D Research Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (820 citations), Nephrology (100 citations), Health, Toxicology and Mutagenesis (159 citations), Neurology (99 citations) and Genetics (176 citations). Ken Okamura has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Kaori Sato, Masatoshi Fujishima, Hiroshi Ikenoue, Mototaka Yoshinari, Takeo Kuroda, K Inoue, Alvin Taurog, Toshiro Nakashima, Tetsuya Mizokami and Takanari Kitazono. Their work appears in journals such as European Journal of Endocrinology, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Clinical Nephrology.
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.