Koji Takano
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- Pituitary Gland Disorders and Treatments 20
- Growth Hormone and Insulin-like Growth Factors 20
- Diabetes Treatment and Management 12
- Diabetes Management and Research 9
- Neurology top 5%
- Oncology top 5%
- Epidemiology top 5%
- Neuroendocrine Tumor Research Advances 10
- Genetics top 5%
- Glioma Diagnosis and Treatment 10
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- Ion channel regulation and function 17
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- Neuroscience and Neuropharmacology Research 8
- Co-authors
- Toshiro FujitaTsuyoshi SatohAkira ShimatsuHironobu SasanoMasao TanakaMasayuki ImamuraIzumi KomotoTetsuhide Ito
- Journals
- Journal of the Physical Society of Japan (8 papers)American Journal of Physiology-Endocrinology and Metabolism (6 papers)Clinical Endocrinology (5 papers)
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Koji Takano
130 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 141
- Endocrinology, Diabetes and Metabolism 891
- Neurology 426
- Oncology 750
- Epidemiology 905
- Genetics 204
Countries citing papers authored by Koji Takano
This map shows the geographic impact of Koji Takano'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 Koji Takano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Takano more than expected).
Fields of papers citing papers by Koji Takano
This network shows the impact of papers produced by Koji Takano. 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 Koji Takano. The network helps show where Koji Takano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Koji Takano, 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 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 2 | |
| 11 | 2012 | 29 | |
| 12 | 2007 | 14 | |
| 13 | 2007 | 119 | |
| 14 | 2006 | 8 | |
| 15 | 2004 | 21 | |
| 16 | 1999 | 50 | |
| 17 | 1997 | 6 | |
| 18 | 1997 | 71 | |
| 19 | [Experiences in general anesthesia of patients with scoliosis presupposed to have difficulties in airway maintenance]. | 1990 | 5 |
| 20 | 1978 | 2 |
About Koji Takano
Koji Takano is a scholar working on Endocrinology, Diabetes and Metabolism, General Materials Science and Genetics, having authored 141 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (20 papers), Growth Hormone and Insulin-like Growth Factors (20 papers), Ion channel regulation and function (17 papers), Diabetes Treatment and Management (12 papers), Glioma Diagnosis and Treatment (10 papers), Neuroendocrine Tumor Research Advances (10 papers), Diabetes Management and Research (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (891 citations), Neurology (426 citations) and Oncology (750 citations). Koji Takano has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Toshiro Fujita, Tsuyoshi Satoh, Akira Shimatsu, Hironobu Sasano, Masao Tanaka, Masayuki Imamura, Izumi Komoto, Tetsuhide Ito, Kazuhiko Nakamura and Masayoshi Shichiri. Their work appears in journals such as Journal of the Physical Society of Japan, American Journal of Physiology-Endocrinology and Metabolism, Clinical Endocrinology, Tetrahedron and Scientific Reports.
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.