K Takatsuki

27 total papers · 899 total citations
23 papers, 725 citations indexed

About

K Takatsuki is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, K Takatsuki has authored 23 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 8 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Agronomy and Crop Science. Recurrent topics in K Takatsuki's work include T-cell and Retrovirus Studies (9 papers), Vector-Borne Animal Diseases (8 papers) and Animal Disease Management and Epidemiology (8 papers). K Takatsuki is often cited by papers focused on T-cell and Retrovirus Studies (9 papers), Vector-Borne Animal Diseases (8 papers) and Animal Disease Management and Epidemiology (8 papers). K Takatsuki collaborates with scholars based in Japan. K Takatsuki's co-authors include Masao Matsuoka, Hironobu Hata, Toshiki Watanabe, S Kamihira, Ken‐ichiro Etoh, Sadahiro Tamiya, Kazunari Yamaguchi, Shigeki Takemoto, Norihiro Iwamoto and Fumio Kawano and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Molecular and Cellular Biology.

In The Last Decade

K Takatsuki

23 papers receiving 705 citations

Author Peers

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

Author						Papers	Cites
K Takatsuki	497	286	282	189	142	23	725
Isao Sanada	430 0.9×	244 0.9×	225 0.8×	134 0.7×	97 0.7×	36	710
Koichiro Suemori	383 0.8×	182 0.6×	190 0.7×	77 0.4×	112 0.8×	38	663
K Niiya	196 0.4×	100 0.3×	110 0.4×	497 2.6×	103 0.7×	32	854
George Bourikas	562 1.1×	246 0.9×	261 0.9×	201 1.1×	73 0.5×	21	776
Yoko Kubuki	212 0.4×	112 0.4×	96 0.3×	208 1.1×	259 1.8×	34	624
Naomi Taylor	507 1.0×	182 0.6×	197 0.7×	37 0.2×	273 1.9×	15	825
J Minowada	513 1.0×	323 1.1×	345 1.2×	49 0.3×	123 0.9×	19	716
T Takenaka	537 1.1×	401 1.4×	419 1.5×	29 0.2×	41 0.3×	25	734
Yoshihiro Koya	494 1.0×	312 1.1×	318 1.1×	20 0.1×	257 1.8×	41	867
Norimasa Yasuda	379 0.8×	50 0.2×	31 0.1×	180 1.0×	100 0.7×	25	676

Countries citing papers authored by K Takatsuki

Since Specialization

Citations

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

Fields of papers citing papers by K Takatsuki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Takatsuki

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