K. Tsukamoto

31 total papers · 1.2k total citations
24 papers, 944 citations indexed

About

K. Tsukamoto is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, K. Tsukamoto has authored 24 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in K. Tsukamoto's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and Marine and fisheries research (5 papers). K. Tsukamoto is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and Marine and fisheries research (5 papers). K. Tsukamoto collaborates with scholars based in Japan, Norway and Thailand. K. Tsukamoto's co-authors include Takaomi Arai, Michael J. Miller, Tsuguo Otake, Keiichiro Hashimoto, H. Kato, Tomoko Watanabe, Teruhiko Matsushima, Yuki Hashimoto, Masahiko Kinoshita and T Teramoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Physical Review A.

In The Last Decade

K. Tsukamoto

23 papers receiving 901 citations

Author Peers

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

Author						Papers	Cites
K. Tsukamoto	288	268	255	236	216	24	944
Germaine Dorange	218 0.8×	450 1.7×	312 1.2×	243 1.0×	43 0.2×	41	1.2k
Stefanie M. Hixson	132 0.5×	240 0.9×	627 2.5×	226 1.0×	335 1.6×	15	1.1k
E. J. W. Barrington	111 0.4×	166 0.6×	212 0.8×	231 1.0×	79 0.4×	47	1.2k
George R. Gardner	118 0.4×	146 0.5×	261 1.0×	152 0.6×	172 0.8×	32	1.1k
Tore Næss	207 0.7×	316 1.2×	654 2.6×	221 0.9×	263 1.2×	25	906
Cleveland P. Hickman	251 0.9×	86 0.3×	445 1.7×	171 0.7×	85 0.4×	37	1.1k
Sunniva Lønning	308 1.1×	401 1.5×	493 1.9×	287 1.2×	35 0.2×	52	1.2k
Sang‐Seon Yun	423 1.5×	226 0.8×	250 1.0×	171 0.7×	176 0.8×	28	1.2k
Katrin Lundstedt‐Enkel	187 0.6×	180 0.7×	86 0.3×	91 0.4×	49 0.2×	28	982
Elizabeth L. Crockett	128 0.4×	86 0.3×	482 1.9×	154 0.7×	186 0.9×	42	1.2k

Countries citing papers authored by K. Tsukamoto

Since Specialization

Citations

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

Fields of papers citing papers by K. Tsukamoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Tsukamoto

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