Tsukasa Teramoto

187 total papers · 1000 total citations
70 papers, 757 citations indexed

About

Tsukasa Teramoto is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tsukasa Teramoto has authored 70 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Surgery, 14 papers in Oncology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tsukasa Teramoto's work include Lipoproteins and Cardiovascular Health (9 papers), Colorectal and Anal Carcinomas (7 papers) and Gastric Cancer Management and Outcomes (7 papers). Tsukasa Teramoto is often cited by papers focused on Lipoproteins and Cardiovascular Health (9 papers), Colorectal and Anal Carcinomas (7 papers) and Gastric Cancer Management and Outcomes (7 papers). Tsukasa Teramoto collaborates with scholars based in Japan, United States and United Kingdom. Tsukasa Teramoto's co-authors include Masaki Kitajima, Masahiro Watanabe, Tetsuro Kubota, Kyuya Ishibiki, Masaki Kitajima, Tsong‐Hong Kuo, Makoto Kinoshita, A G Parks, Michael Swash and Kiyoshi Kurokawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Tsukasa Teramoto

65 papers receiving 715 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tsukasa Teramoto 436 209 150 117 89 70 757
Xiaofei Ding 221 0.5× 156 0.7× 352 2.3× 89 0.8× 112 1.3× 45 754
Ali G. Saad 240 0.6× 153 0.7× 244 1.6× 72 0.6× 99 1.1× 51 835
Marc Winslet 250 0.6× 217 1.0× 234 1.6× 87 0.7× 92 1.0× 38 723
Antonia Rizzuto 263 0.6× 160 0.8× 277 1.8× 81 0.7× 138 1.6× 50 800
Teresa Stachowicz‐Stencel 326 0.7× 178 0.9× 118 0.8× 22 0.2× 60 0.7× 61 741
F. Cachin 171 0.4× 178 0.9× 111 0.7× 64 0.5× 151 1.7× 70 711
Yoshihiro Miyazaki 149 0.3× 204 1.0× 194 1.3× 56 0.5× 86 1.0× 52 646
Bin Hu 116 0.3× 109 0.5× 175 1.2× 114 1.0× 65 0.7× 49 683
Shinichi Ohba 264 0.6× 172 0.8× 86 0.6× 23 0.2× 36 0.4× 71 620
Kiyohiko Dohi 195 0.4× 168 0.8× 183 1.2× 54 0.5× 78 0.9× 43 751

Countries citing papers authored by Tsukasa Teramoto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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