Tsuguo Kuwata

39 total papers · 463 total citations
31 papers, 376 citations indexed

About

Tsuguo Kuwata is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Tsuguo Kuwata has authored 31 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 12 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Tsuguo Kuwata's work include interferon and immune responses (7 papers), Immune Cell Function and Interaction (5 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Tsuguo Kuwata is often cited by papers focused on interferon and immune responses (7 papers), Immune Cell Function and Interaction (5 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Tsuguo Kuwata collaborates with scholars based in Japan, Taiwan and Belgium. Tsuguo Kuwata's co-authors include Akira Fuse, Yoshimi Tomita, Ishtiaq Mahmud, Nobuo Suzuki, Kari Cantell, Erik De Clercq, Jean Content, M Divizia, Takashi Miki and Takayuki Kojima and has published in prestigious journals such as Science, The Journal of Immunology and JNCI Journal of the National Cancer Institute.

In The Last Decade

Tsuguo Kuwata

30 papers receiving 325 citations

Author Peers

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

Author Last Decade Papers Cites
Tsuguo Kuwata 182 162 105 52 39 31 376
Lakshmi Khandke 170 0.9× 201 1.2× 74 0.7× 51 1.0× 26 0.7× 16 439
Jung Koo Youn 194 1.1× 93 0.6× 103 1.0× 67 1.3× 76 1.9× 30 410
Fanny Lacour 159 0.9× 131 0.8× 90 0.9× 35 0.7× 26 0.7× 15 336
Brahma S. Sharma 208 1.1× 103 0.6× 77 0.7× 52 1.0× 32 0.8× 29 446
Penghui Jia 93 0.5× 165 1.0× 66 0.6× 84 1.6× 27 0.7× 21 334
K Last-Barney 192 1.1× 104 0.6× 49 0.5× 40 0.8× 12 0.3× 24 405
Momka Bratoeva 91 0.5× 257 1.6× 108 1.0× 56 1.1× 20 0.5× 19 422
Anna Åleskog 80 0.4× 155 1.0× 108 1.0× 34 0.7× 20 0.5× 28 431
I Rosztóczy 215 1.2× 58 0.4× 88 0.8× 133 2.6× 28 0.7× 31 441
Thaysa Paschoalin 68 0.4× 179 1.1× 75 0.7× 23 0.4× 28 0.7× 26 379

Countries citing papers authored by Tsuguo Kuwata

Since Specialization
Citations

This map shows the geographic impact of Tsuguo Kuwata'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 Tsuguo Kuwata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuguo Kuwata more than expected).

Fields of papers citing papers by Tsuguo Kuwata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsuguo Kuwata

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