Tomoko Kawashima

40 total papers · 1.0k total citations
21 papers, 843 citations indexed

About

Tomoko Kawashima is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Tomoko Kawashima has authored 21 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Tomoko Kawashima's work include PI3K/AKT/mTOR signaling in cancer (3 papers), T-cell and B-cell Immunology (3 papers) and IL-33, ST2, and ILC Pathways (3 papers). Tomoko Kawashima is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (3 papers), T-cell and B-cell Immunology (3 papers) and IL-33, ST2, and ILC Pathways (3 papers). Tomoko Kawashima collaborates with scholars based in Japan, United States and Slovakia. Tomoko Kawashima's co-authors include Hideo Hamaguchi, Tadao Arinami, Emiko Noguchi, Fujio Otsuka, Kimiko Yamakawa‐Kobayashi, Hidemi Nakagawa, Hiroshi Seno, Tsutomu Chiba, Tateo Sawabu and Y Uenoyama and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Oncogene and European Journal of Pharmacology.

In The Last Decade

Tomoko Kawashima

20 papers receiving 819 citations

Author Peers

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

Author Last Decade Papers Cites
Tomoko Kawashima 298 254 220 205 178 21 843
Kyosuke Hatsushika 223 0.7× 272 1.1× 162 0.7× 214 1.0× 261 1.5× 23 922
Florence Ida Hsu 271 0.9× 234 0.9× 119 0.5× 60 0.3× 137 0.8× 26 975
Hua Zhong 277 0.9× 113 0.4× 95 0.4× 179 0.9× 71 0.4× 31 735
Kimberly Marquette 333 1.1× 173 0.7× 149 0.7× 174 0.8× 156 0.9× 15 978
Elaine Murray 383 1.3× 256 1.0× 200 0.9× 209 1.0× 109 0.6× 25 832
Masayuki Ishizaki 364 1.2× 287 1.1× 130 0.6× 87 0.4× 90 0.5× 17 722
Chandra Ohri 435 1.5× 258 1.0× 195 0.9× 136 0.7× 104 0.6× 17 720
Penny Lympany 165 0.6× 384 1.5× 67 0.3× 205 1.0× 101 0.6× 28 1.1k
Bart R. Blokhuis 372 1.2× 255 1.0× 47 0.2× 200 1.0× 251 1.4× 26 824
Violeta Régnier Galvão 254 0.9× 125 0.5× 182 0.8× 69 0.3× 149 0.8× 22 715

Countries citing papers authored by Tomoko Kawashima

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Kawashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Kawashima

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