Takeshi Kashima

107 total papers · 3.4k total citations
70 papers, 2.7k citations indexed

About

Takeshi Kashima is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Takeshi Kashima has authored 70 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Pulmonary and Respiratory Medicine and 21 papers in Oncology. Recurrent topics in Takeshi Kashima's work include Bone Tumor Diagnosis and Treatments (14 papers), Sarcoma Diagnosis and Treatment (10 papers) and Bone health and treatments (9 papers). Takeshi Kashima is often cited by papers focused on Bone Tumor Diagnosis and Treatments (14 papers), Sarcoma Diagnosis and Treatment (10 papers) and Bone health and treatments (9 papers). Takeshi Kashima collaborates with scholars based in Japan, United Kingdom and United States. Takeshi Kashima's co-authors include Masashi Fukayama, Akira Kudō, Isao Kii, Takashi Nishiyama, Akiko Kunita, Masashi Shimazaki, Agamemnon E. Grigoriadis, Yoshinao Kikuchi, Yasuyuki Morishita and Utako Machida and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Takeshi Kashima

66 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Takeshi Kashima 882 839 545 503 486 70 2.7k
Jay H. Beckstead 1.0k 1.2× 1.1k 1.3× 815 1.5× 192 0.4× 356 0.7× 67 4.5k
Norio Azumi 540 0.6× 1.2k 1.4× 898 1.6× 232 0.5× 543 1.1× 92 3.0k
Elisabeth M. Cramer 1.3k 1.5× 416 0.5× 923 1.7× 360 0.7× 243 0.5× 119 5.1k
Kazuhiko Arima 632 0.7× 731 0.9× 614 1.1× 362 0.7× 224 0.5× 84 5.3k
Ansgar Schulz 1.7k 2.0× 984 1.2× 340 0.6× 141 0.3× 510 1.0× 122 4.5k
Raphael Hirsch 1.0k 1.1× 459 0.5× 352 0.6× 356 0.7× 400 0.8× 94 3.6k
H. Kabisch 826 0.9× 1.2k 1.5× 1.3k 2.4× 239 0.5× 245 0.5× 108 4.3k
Daniel Luthringer 1.3k 1.5× 508 0.6× 911 1.7× 644 1.3× 542 1.1× 93 3.8k
Diana M. Cardona 796 0.9× 658 0.8× 556 1.0× 165 0.3× 305 0.6× 114 2.4k
Jonathan S. Silver 913 1.0× 724 0.9× 584 1.1× 162 0.3× 637 1.3× 42 4.8k

Countries citing papers authored by Takeshi Kashima

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Kashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Kashima

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Kashima. A scholar is included among the top collaborators of Takeshi Kashima 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 Takeshi Kashima. Takeshi Kashima 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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2026