T. Tsuda

35 total papers · 411 total citations
28 papers, 309 citations indexed

About

T. Tsuda is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, T. Tsuda has authored 28 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in T. Tsuda's work include Alkaline Phosphatase Research Studies (4 papers), Facial Trauma and Fracture Management (4 papers) and Advanced NMR Techniques and Applications (3 papers). T. Tsuda is often cited by papers focused on Alkaline Phosphatase Research Studies (4 papers), Facial Trauma and Fracture Management (4 papers) and Advanced NMR Techniques and Applications (3 papers). T. Tsuda collaborates with scholars based in Japan, United States and Canada. T. Tsuda's co-authors include K. Masuhara, Shunsuke Hirose, Toshiyuki Ozawa, Kunio Takaoka, A. Hirai, Hideki Yoshikawa, Katsuhiko Ono, N. Shimizu, Jun Hashi­moto and Shimpei Miyamoto and has published in prestigious journals such as Journal of High Energy Physics, Bone and Physics Letters A.

In The Last Decade

T. Tsuda

25 papers receiving 302 citations

Author Peers

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

Author Last Decade Papers Cites
T. Tsuda 79 55 49 41 35 28 309
Akifumi Kikuchi 73 0.9× 71 1.3× 55 1.1× 36 0.9× 24 0.7× 25 322
Timothy W. James 46 0.6× 59 1.1× 55 1.1× 15 0.4× 100 2.9× 23 361
Michael J. Grieco 73 0.9× 54 1.0× 33 0.7× 15 0.4× 24 0.7× 41 304
Ze Yang 34 0.4× 68 1.2× 25 0.5× 40 1.0× 9 0.3× 32 304
Shinichi Hoshi 84 1.1× 30 0.5× 30 0.6× 36 0.9× 23 0.7× 24 334
Xiaochuan Hu 64 0.8× 40 0.7× 55 1.1× 12 0.3× 32 0.9× 42 316
M. Hajduga 52 0.7× 71 1.3× 57 1.2× 69 1.7× 32 0.9× 26 318
Shunsuke Kawai 34 0.4× 13 0.2× 35 0.7× 24 0.6× 35 1.0× 49 333
F. Schumacher 44 0.6× 89 1.6× 39 0.8× 85 2.1× 69 2.0× 15 350
Hongtao Rong 59 0.7× 70 1.3× 63 1.3× 26 0.6× 41 1.2× 28 314

Countries citing papers authored by T. Tsuda

Since Specialization
Citations

This map shows the geographic impact of T. Tsuda'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 T. Tsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Tsuda more than expected).

Fields of papers citing papers by T. Tsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Tsuda. 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 T. Tsuda. The network helps show where T. Tsuda may publish in the future.

Co-authorship network of co-authors of T. Tsuda

This figure shows the co-authorship network connecting the top 25 collaborators of T. Tsuda. A scholar is included among the top collaborators of T. Tsuda 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 T. Tsuda. T. Tsuda 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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