Tetsuya Mizokami
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Pathology and Forensic Medicine
- Epidemiology
- Genetics
- Co-authors
- Jack R. WallKen OkamuraMasatoshi FujishimaSamer El-KaissiTakeo KurodaKaori SatoHiroshi IkenoueMario Salvi
- Topics
- Thyroid Disorders and Treatments (18 papers)Thyroid Cancer Diagnosis and Treatment (11 papers)Pituitary Gland Disorders and Treatments (6 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismClinical EndocrinologyEuropean Journal of Endocrinology
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Tetsuya Mizokami
38 papers receiving 431 citations
Peers
Comparison fields: 5 of 70
- Endocrinology, Diabetes and Metabolism 259
- Surgery 65
- Pathology and Forensic Medicine 64
- Epidemiology 48
- Genetics 42
Countries citing papers authored by Tetsuya Mizokami
This map shows the geographic impact of Tetsuya Mizokami'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 Tetsuya Mizokami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Mizokami more than expected).
Fields of papers citing papers by Tetsuya Mizokami
This network shows the impact of papers produced by Tetsuya Mizokami. 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 Tetsuya Mizokami. The network helps show where Tetsuya Mizokami may publish in the future.
Co-authorship network of co-authors of Tetsuya Mizokami
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Mizokami. A scholar is included among the top collaborators of Tetsuya Mizokami based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tetsuya Mizokami. Tetsuya Mizokami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | 13 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 20 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 27 | |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 13 | |
| 15 | 18 | |
| 16 | 3 | |
| 17 | 13 | |
| 18 | 43 | |
| 19 | 1 | |
| 20 | 2 |
About Tetsuya Mizokami
Tetsuya Mizokami is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Endocrine and Autonomic Systems, having authored 38 papers that have together received 449 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (18 papers), Thyroid Cancer Diagnosis and Treatment (11 papers) and Pituitary Gland Disorders and Treatments (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (259 citations), Nephrology (36 citations) and Behavioral Neuroscience (13 citations). Tetsuya Mizokami has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Jack R. Wall, Ken Okamura, Masatoshi Fujishima, Samer El-Kaissi, Takeo Kuroda, Kaori Sato, Hiroshi Ikenoue, Mario Salvi, Junichi Tajiri and K Higashi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology and European Journal of Endocrinology.
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.