Ken Takashima

52 total papers · 975 total citations
26 papers, 685 citations indexed

About

Ken Takashima is a scholar working on Immunology, Molecular Biology and Condensed Matter Physics. According to data from OpenAlex, Ken Takashima has authored 26 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 9 papers in Molecular Biology and 4 papers in Condensed Matter Physics. Recurrent topics in Ken Takashima's work include Immune Response and Inflammation (7 papers), interferon and immune responses (7 papers) and Physics of Superconductivity and Magnetism (4 papers). Ken Takashima is often cited by papers focused on Immune Response and Inflammation (7 papers), interferon and immune responses (7 papers) and Physics of Superconductivity and Magnetism (4 papers). Ken Takashima collaborates with scholars based in Japan, United States and France. Ken Takashima's co-authors include Tsukasa Seya, Misako Matsumoto, Hiroyuki Oshiumi, Yohei Takeda, Hiroaki Shime, Eric Lieberman Greer, Noa Liberman, Jean‐Jacques Vasseur, Ben R Hawley and Konstantinos Boulias and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Ken Takashima

25 papers receiving 682 citations

Author Peers

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

Author Last Decade Papers Cites
Ken Takashima 359 283 137 105 68 26 685
Tomoaki Fujii 428 1.2× 119 0.4× 73 0.5× 66 0.6× 11 0.2× 26 618
Satoshi Ishiyama 315 0.9× 87 0.3× 120 0.9× 287 2.7× 10 0.1× 27 631
JG Park 227 0.6× 204 0.7× 24 0.2× 123 1.2× 21 0.3× 12 566
Shuhei Hashimoto 135 0.4× 138 0.5× 73 0.5× 66 0.6× 14 0.2× 31 626
Xiaoli Wei 329 0.9× 216 0.8× 82 0.6× 196 1.9× 21 0.3× 29 765
Sun Feng 419 1.2× 52 0.2× 300 2.2× 87 0.8× 40 0.6× 39 769
Kwang Chul Kim 342 1.0× 141 0.5× 68 0.5× 97 0.9× 18 0.3× 40 744
Jenson Lim 220 0.6× 251 0.9× 33 0.2× 20 0.2× 70 1.0× 23 676
Hao Wang 188 0.5× 152 0.5× 18 0.1× 84 0.8× 110 1.6× 42 638
Mai Yamagishi 526 1.5× 259 0.9× 52 0.4× 36 0.3× 19 0.3× 28 752

Countries citing papers authored by Ken Takashima

Since Specialization
Citations

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

Fields of papers citing papers by Ken Takashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Takashima

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