Tomoshi Kakeya
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- 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
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- 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)Yusuke Kishi (1 shared paper)Sumio Takahashi (5 shared papers)Masaaki Waragai (1 shared paper)Harutsugu Tatebe (1 shared paper)Takuma Ohmichi (1 shared paper)
- Journals
- Cell and Tissue Research (2 papers)Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi) (1 paper)Journal of General Virology (1 paper)FEBS Journal (1 paper)Molecular Neurodegeneration (1 paper)
- Partner nations
- JapanSri LankaUnited Kingdom
In The Last Decade
Tomoshi Kakeya
12 papers receiving 341 citations
Peers
Comparison fields: 5 of 72
- Neurology 65
- Psychiatry and Mental health 97
- Physiology 144
- Endocrinology, Diabetes and Metabolism 75
- Biological Psychiatry 10
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 | 188 | |
| 2 | 2000 | 32 | |
| 3 | 1999 | 24 | |
| 4 | 2008 | 21 | |
| 5 | 2000 | 20 | |
| 6 | 2002 | 18 | |
| 7 | 2003 | 16 | |
| 8 | 2003 | 10 | |
| 9 | 2002 | 7 | |
| 10 | 2004 | 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 346 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Prion Diseases and Protein Misfolding (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 Pancreatic function and diabetes (1 paper). The work is most often cited by research in Neurology (65 citations), Psychiatry and Mental health (97 citations), Physiology (144 citations), Endocrinology, Diabetes and Metabolism (75 citations) and Biological Psychiatry (10 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, Yusuke Kishi, Sumio Takahashi, Masaaki Waragai, Harutsugu Tatebe, Takuma Ohmichi, David Allsop and Takashi Kasai. Their work appears in journals such as Cell and Tissue Research, Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi), Journal of General Virology, FEBS Journal and Molecular Neurodegeneration.
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.