Tomoshi Kakeya
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological diseases and metabolism
- Psychiatry and Mental health top 10%
- Dementia and Cognitive Impairment Research
Papers in
-
- Prion Diseases and Protein Misfolding 5
- TGF-β signaling in diseases 2
- RNA regulation and disease 2
-
- Growth Hormone and Insulin-like Growth Factors 5
- Pituitary Gland Disorders and Treatments 2
- Co-authors
- Sakae Takeuchi (6 shared papers)Masaki Kondo (1 shared paper)Takahiko Tokuda (1 shared paper)Sumio Takahashi (5 shared papers)Takuma Ohmichi (1 shared paper)Takashi Kasai (1 shared paper)Masaaki Waragai (1 shared paper)David Allsop (1 shared paper)
- Journals
- Cell and Tissue Research (2 papers)FEBS Journal (1 paper)Molecular Neurodegeneration (1 paper)Biological and Pharmaceutical Bulletin (1 paper)Neuroendocrinology (1 paper)
- Partner nations
- JapanSri LankaUnited Kingdom
In The Last Decade
Tomoshi Kakeya
12 papers receiving 344 citations
Peers
Comparison fields: 5 of 66
- Neurology 58
- Psychiatry and Mental health 84
- Physiology 121
- Endocrinology, Diabetes and Metabolism 72
- Endocrine and Autonomic Systems 15
Countries citing papers authored by Tomoshi Kakeya
This map shows the geographic impact of Tomoshi Kakeya'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 Tomoshi Kakeya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoshi Kakeya more than expected).
Fields of papers citing papers by Tomoshi Kakeya
This network shows the impact of papers produced by Tomoshi Kakeya. 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 Tomoshi Kakeya. The network helps show where Tomoshi Kakeya may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomoshi Kakeya, 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 | 2017 | 191 | |
| 2 | 2000 | 32 | |
| 3 | 1999 | 24 | |
| 4 | 2008 | 21 | |
| 5 | 2000 | 20 | |
| 6 | 2002 | 18 | |
| 7 | 2003 | 16 | |
| 8 | 2003 | 10 | |
| 9 | 2004 | 7 | |
| 10 | 2002 | 7 | |
| 11 | 2002 | 2 | |
| 12 | 2002 | 1 |
About Tomoshi Kakeya
Tomoshi Kakeya is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Neurology, Nutrition and Dietetics and Surgery, having authored 12 papers that have together received 349 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Neurological diseases and metabolism (4 papers), TGF-β signaling in diseases (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Trace Elements in Health (2 papers), RNA regulation and disease (2 papers) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Neurology (58 citations), Psychiatry and Mental health (84 citations), Physiology (121 citations), Endocrinology, Diabetes and Metabolism (72 citations) and Endocrine and Autonomic Systems (15 citations). Tomoshi Kakeya has collaborated with scholars based in Japan, Sri Lanka and United Kingdom. Frequent co-authors include Sakae Takeuchi, Masaki Kondo, Takahiko Tokuda, Sumio Takahashi, Takuma Ohmichi, Takashi Kasai, Masaaki Waragai, David Allsop, Harutsugu Tatebe and Yusuke Kishi. Their work appears in journals such as Cell and Tissue Research, FEBS Journal, Molecular Neurodegeneration, Biological and Pharmaceutical Bulletin and Neuroendocrinology.
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.