Kazuhiro Kakimi

315 total papers · 7.3k total citations
160 papers, 5.5k citations indexed

About

Kazuhiro Kakimi is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Kazuhiro Kakimi has authored 160 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Immunology, 82 papers in Oncology and 24 papers in Molecular Biology. Recurrent topics in Kazuhiro Kakimi's work include Immunotherapy and Immune Responses (74 papers), Cancer Immunotherapy and Biomarkers (62 papers) and Immune Cell Function and Interaction (51 papers). Kazuhiro Kakimi is often cited by papers focused on Immunotherapy and Immune Responses (74 papers), Cancer Immunotherapy and Biomarkers (62 papers) and Immune Cell Function and Interaction (51 papers). Kazuhiro Kakimi collaborates with scholars based in Japan, United States and China. Kazuhiro Kakimi's co-authors include Francis V. Chisari, Luca G. Guidotti, Hirokazu Matsushita, Yasuhiko Koezuka, Jun Nakajima, Stefan Wieland, Satoshi Ueha, Kouji Matsushima, Akihiro Hosoi and Masanori Isogawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Kazuhiro Kakimi

155 papers receiving 5.5k citations

Author Peers

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

Author Last Decade Papers Cites
Kazuhiro Kakimi 3.6k 2.3k 1.2k 993 802 160 5.5k
Juan José Lasarte 2.9k 0.8× 1.8k 0.8× 1.2k 1.0× 1.8k 1.8× 1.5k 1.8× 178 6.2k
Pablo Sarobe 2.6k 0.7× 2.0k 0.9× 1.0k 0.9× 1.5k 1.6× 1.7k 2.1× 127 5.7k
Matteo Iannacone 3.1k 0.9× 1.1k 0.5× 1.5k 1.3× 1.4k 1.4× 977 1.2× 98 6.1k
Sandra Hervás‐Stubbs 3.7k 1.0× 2.8k 1.2× 718 0.6× 2.1k 2.1× 512 0.6× 111 6.6k
Jaap Kwekkeboom 2.8k 0.8× 1.7k 0.8× 1.1k 1.0× 1.4k 1.4× 1.2k 1.5× 161 6.0k
Kevin F. Staveley-O’Carroll 2.5k 0.7× 2.1k 0.9× 730 0.6× 1.4k 1.4× 340 0.4× 124 5.0k
Bertram Bengsch 3.3k 0.9× 1.5k 0.6× 1.1k 0.9× 745 0.8× 862 1.1× 73 4.8k
Andrew Godkin 3.4k 0.9× 1.6k 0.7× 986 0.8× 978 1.0× 355 0.4× 95 5.2k
P L Amlot 2.3k 0.7× 1.8k 0.8× 1.5k 1.3× 953 1.0× 390 0.5× 101 6.0k
Yasuharu Nishimura 3.0k 0.8× 1.8k 0.8× 522 0.4× 2.6k 2.6× 452 0.6× 171 6.0k

Countries citing papers authored by Kazuhiro Kakimi

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhiro Kakimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuhiro Kakimi

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