Tomio KAMETANI
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cancer Research
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Co-authors
- Toshihiro HabaHiroshi MabuchiKosei UedaRyosei UedaSusumu MiyamotoMasayuki OhtaSeigo ItoAkira Nakayama
- Topics
- Lipoproteins and Cardiovascular Health (10 papers)Cancer, Lipids, and Metabolism (7 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers)
In The Last Decade
Tomio KAMETANI
19 papers receiving 492 citations
Peers
Comparison fields: 5 of 59
- Surgery 348
- Endocrinology, Diabetes and Metabolism 258
- Cancer Research 144
- Cardiology and Cardiovascular Medicine 125
- Molecular Biology 66
Countries citing papers authored by Tomio KAMETANI
This map shows the geographic impact of Tomio KAMETANI'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 Tomio KAMETANI with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomio KAMETANI more than expected).
Fields of papers citing papers by Tomio KAMETANI
This network shows the impact of papers produced by Tomio KAMETANI. 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 Tomio KAMETANI. The network helps show where Tomio KAMETANI may publish in the future.
Co-authorship network of co-authors of Tomio KAMETANI
This figure shows the co-authorship network connecting the top 25 collaborators of Tomio KAMETANI. A scholar is included among the top collaborators of Tomio KAMETANI 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 Tomio KAMETANI. Tomio KAMETANI is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [A case of adenocarcinoma of unknown primary site successfully treated with gemcitabine monotherapy]. | 1 |
| 2 | 3 | |
| 3 | 33 | |
| 4 | [A case of lung cancer with hypercalcemia and renal failure responsive to pamidronate]. | 2 |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 27 | |
| 8 | 1 | |
| 9 | 23 | |
| 10 | 214 | |
| 11 | 23 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 47 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 85 | |
| 18 | 32 | |
| 19 | 1 | |
| 20 | 12 |
About Tomio KAMETANI
Tomio KAMETANI is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 20 papers that have together received 526 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (10 papers), Cancer, Lipids, and Metabolism (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (258 citations), Cancer Research (144 citations) and Surgery (348 citations). Tomio KAMETANI has collaborated with scholars based in Japan and France. Frequent co-authors include Toshihiro Haba, Hiroshi Mabuchi, Kosei Ueda, Ryosei Ueda, Susumu Miyamoto, Masayuki Ohta, Seigo Ito, Akira Nakayama, Akira Genda and Honin Kanaya. Their work appears in journals such as Circulation, Journal of Clinical Investigation and FEBS Letters.
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.