Masahiro Azuma

27 total papers · 1.2k total citations
23 papers, 975 citations indexed

About

Masahiro Azuma is a scholar working on Immunology, Hepatology and Oncology. According to data from OpenAlex, Masahiro Azuma has authored 23 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 4 papers in Hepatology and 3 papers in Oncology. Recurrent topics in Masahiro Azuma's work include Immune Response and Inflammation (13 papers), Immune Cell Function and Interaction (12 papers) and Immunotherapy and Immune Responses (9 papers). Masahiro Azuma is often cited by papers focused on Immune Response and Inflammation (13 papers), Immune Cell Function and Interaction (12 papers) and Immunotherapy and Immune Responses (9 papers). Masahiro Azuma collaborates with scholars based in Japan and United States. Masahiro Azuma's co-authors include Tsukasa Seya, Misako Matsumoto, Hiroyuki Oshiumi, Hiroaki Shime, Takashi Ebihara, Eiji Kusano, Yohei Takeda, Toshinori Tanaka, Masaharu Takahashi and Yasuyuki Yazaki and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Masahiro Azuma

23 papers receiving 966 citations

Author Peers

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

Author Last Decade Papers Cites
Masahiro Azuma 505 304 257 205 136 23 975
Tobias Manigold 368 0.7× 206 0.7× 189 0.7× 212 1.0× 242 1.8× 29 905
N Yamaguchi 282 0.6× 243 0.8× 55 0.2× 111 0.5× 136 1.0× 16 814
Stephan Weber 514 1.0× 222 0.7× 274 1.1× 236 1.2× 356 2.6× 17 1.0k
A. Mühlbacher 149 0.3× 126 0.4× 320 1.2× 143 0.7× 222 1.6× 26 824
Laura Madrigal-Estebas 609 1.2× 175 0.6× 44 0.2× 130 0.6× 173 1.3× 15 900
Carol Shen 594 1.2× 70 0.2× 117 0.5× 357 1.7× 144 1.1× 16 1.1k
Anders Bergqvist 292 0.6× 113 0.4× 174 0.7× 304 1.5× 143 1.1× 33 1.1k
L.‐Å. Nilsson 323 0.6× 78 0.3× 65 0.3× 110 0.5× 223 1.6× 40 990
Sami Junnikkala 441 0.9× 40 0.1× 82 0.3× 256 1.2× 118 0.9× 30 1.2k
Maria Blasi 257 0.5× 58 0.2× 262 1.0× 300 1.5× 195 1.4× 35 868

Countries citing papers authored by Masahiro Azuma

Since Specialization
Citations

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

Fields of papers citing papers by Masahiro Azuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiro Azuma

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