Tomohiro Kamoda
- Endocrinology, Diabetes and Metabolism top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Molecular Biology
- Epidemiology
- Physiology
- Co-authors
- Akira MatsuiHisako SaitohTakeki HiranoMakoto SaitoMasatoshi SugiuraSatoko NakaharaNorimasa NakamuraRyo Sumazaki
- Topics
- Growth Hormone and Insulin-like Growth Factors (11 papers)Lipid metabolism and disorders (6 papers)Birth, Development, and Health (6 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismObstetrics and GynecologyEndocrine and Autonomic Systems
- Partner nations
- JapanBangladeshNetherlands
In The Last Decade
Tomohiro Kamoda
41 papers receiving 510 citations
Peers
Comparison fields: 5 of 59
- Endocrinology, Diabetes and Metabolism 144
- Pediatrics, Perinatology and Child Health 133
- Molecular Biology 125
- Epidemiology 117
- Physiology 99
Countries citing papers authored by Tomohiro Kamoda
This map shows the geographic impact of Tomohiro Kamoda'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 Tomohiro Kamoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohiro Kamoda more than expected).
Fields of papers citing papers by Tomohiro Kamoda
This network shows the impact of papers produced by Tomohiro Kamoda. 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 Tomohiro Kamoda. The network helps show where Tomohiro Kamoda may publish in the future.
Co-authorship network of co-authors of Tomohiro Kamoda
This figure shows the co-authorship network connecting the top 25 collaborators of Tomohiro Kamoda. A scholar is included among the top collaborators of Tomohiro Kamoda 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 Tomohiro Kamoda. Tomohiro Kamoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 0 | |
| 7 | 16 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 70 | |
| 13 | 29 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 19 | |
| 20 | 22 |
About Tomohiro Kamoda
Tomohiro Kamoda is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Pediatrics, Perinatology and Child Health, having authored 44 papers that have together received 524 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Lipid metabolism and disorders (6 papers) and Birth, Development, and Health (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (144 citations), Obstetrics and Gynecology (59 citations) and Endocrine and Autonomic Systems (50 citations). Tomohiro Kamoda has collaborated with scholars based in Japan, Bangladesh and Netherlands. Frequent co-authors include Akira Matsui, Hisako Saitoh, Takeki Hirano, Makoto Saito, Masatoshi Sugiura, Satoko Nakahara, Norimasa Nakamura, Ryo Sumazaki, Kazunori Nishimura and Yayoi Miyazono. Their work appears in journals such as Diabetes Care, Metabolism and Clinical 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.