Tsukasa Teramoto
- Surgery top 10%
- Oncology
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Rheumatology top 10%
- Co-authors
- Masaki KitajimaMasahiro WatanabeKyuya IshibikiTetsuro KubotaTsong‐Hong KuoKiyoshi KurokawaMichael SwashA G Parks
- Topics
- Lipoproteins and Cardiovascular Health (9 papers)Colorectal and Anal Carcinomas (7 papers)Gastric Cancer Management and Outcomes (7 papers)
- Cited by
- SurgeryBiotechnologyOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tsukasa Teramoto
65 papers receiving 716 citations
Peers
Comparison fields: 5 of 69
- Surgery 436
- Oncology 209
- Molecular Biology 150
- Endocrinology, Diabetes and Metabolism 117
- Rheumatology 88
Countries citing papers authored by Tsukasa Teramoto
This map shows the geographic impact of Tsukasa Teramoto'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 Tsukasa Teramoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsukasa Teramoto more than expected).
Fields of papers citing papers by Tsukasa Teramoto
This network shows the impact of papers produced by Tsukasa Teramoto. 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 Tsukasa Teramoto. The network helps show where Tsukasa Teramoto may publish in the future.
Co-authorship network of co-authors of Tsukasa Teramoto
This figure shows the co-authorship network connecting the top 25 collaborators of Tsukasa Teramoto. A scholar is included among the top collaborators of Tsukasa Teramoto 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 Tsukasa Teramoto. Tsukasa Teramoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | [LCAT (lecithin:cholesterol acyltransferase)]. | 5 |
| 13 | 2 | |
| 14 | 61 | |
| 15 | Laparoscopic local excision of the cecum for cecal creeping tumor. | 10 |
| 16 | Interferons alpha-2a and beta increase the antitumor activity, detected by MTT assay, of 5-fluorouracil against experimental and clinical human gastrointestinal carcinomas. | 10 |
| 17 | 9 | |
| 18 | 18 | |
| 19 | 37 | |
| 20 | 37 |
About Tsukasa Teramoto
Tsukasa Teramoto is a scholar working on Surgery, Anatomy and Orthopedics and Sports Medicine, having authored 70 papers that have together received 757 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Colorectal and Anal Carcinomas (7 papers) and Gastric Cancer Management and Outcomes (7 papers). The work is most often cited by research in Surgery (436 citations), Biotechnology (78 citations) and Oncology (209 citations). Tsukasa Teramoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masaki Kitajima, Masahiro Watanabe, Kyuya Ishibiki, Tetsuro Kubota, Masaki Kitajima, Tsong‐Hong Kuo, Kiyoshi Kurokawa, Michael Swash, A G Parks and Makoto Kinoshita. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.