Jun Ishii
Impact in
-
- Thyroid Disorders and Treatments
- Thyroid Cancer Diagnosis and Treatment
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Growth Hormone and Insulin-like Growth Factors
- Physiology top 5%
- Pain Mechanisms and Treatments
Papers in
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- Thyroid Disorders and Treatments 20
- Growth Hormone and Insulin-like Growth Factors 10
- Surgery 30
- Co-authors
- Shigehiro Katayama (33 shared papers)Akira Itabashi (20 shared papers)Makoto Iitaka (17 shared papers)Kiyohiko Negishi (16 shared papers)Takuya Yazawa (18 shared papers)Hanako Sato (11 shared papers)Kunihiko Ito (7 shared papers)Hiroaki Shimoyamada (10 shared papers)
- Journals
- Pathology International (7 papers)American Journal Of Pathology (5 papers)Diabetes Research and Clinical Practice (5 papers)Endocrinology (3 papers)European Journal of Endocrinology (3 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Jun Ishii
141 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 113
- Endocrinology, Diabetes and Metabolism 674
- Physiology 343
- Oncology 349
- Clinical Biochemistry 80
- Hepatology 85
Countries citing papers authored by Jun Ishii
This map shows the geographic impact of Jun Ishii'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 Jun Ishii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ishii more than expected).
Fields of papers citing papers by Jun Ishii
This network shows the impact of papers produced by Jun Ishii. 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 Jun Ishii. The network helps show where Jun Ishii may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ishii, 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 188 | |
| 2 | 2000 | 111 | |
| 3 | 2007 | 103 | |
| 4 | 1995 | 93 | |
| 5 | 2009 | 90 | |
| 6 | 2005 | 84 | |
| 7 | 1990 | 83 | |
| 8 | 1994 | 73 | |
| 9 | 2012 | 67 | |
| 10 | 1977 | 65 | |
| 11 | 2006 | 60 | |
| 12 | 1998 | 56 | |
| 13 | 1998 | 55 | |
| 14 | 2010 | 54 | |
| 15 | 2013 | 45 | |
| 16 | 1995 | 44 | |
| 17 | 1987 | 39 | |
| 18 | 1996 | 39 | |
| 19 | 2019 | 38 | |
| 20 | 2004 | 38 |
About Jun Ishii
Jun Ishii is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Oncology and Epidemiology, having authored 152 papers that have together received 2.6k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (20 papers), Neuroendocrine Tumor Research Advances (12 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Diabetes and associated disorders (7 papers), Metabolism, Diabetes, and Cancer (7 papers), Neuroblastoma Research and Treatments (7 papers) and Lung Cancer Research Studies (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (674 citations), Physiology (343 citations), Oncology (349 citations), Clinical Biochemistry (80 citations) and Hepatology (85 citations). Jun Ishii has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Shigehiro Katayama, Akira Itabashi, Makoto Iitaka, Kiyohiko Negishi, Takuya Yazawa, Hanako Sato, Kunihiko Ito, Hiroaki Shimoyamada, Takeshi Kujiraoka and S Kawazu. Their work appears in journals such as Pathology International, American Journal Of Pathology, Diabetes Research and Clinical Practice, 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.