Mitsuru Matsumoto

9.1k citations
107 papers · 7.0k indexed · h-index 46
Topics
T-cell and B-cell Immunology (36 papers)Immune Cell Function and Interaction (29 papers)Immune Response and Inflammation (19 papers)

In The Last Decade

Mitsuru Matsumoto

103 papers receiving 6.9k citations

Peers

Mitsuru Matsumoto
Comparison fields: 5 of 105
  • Immunology 4.2k
  • Molecular Biology 1.8k
  • Cancer Research 1.2k
  • Oncology 1.0k
  • Endocrinology, Diabetes and Metabolism 784
Replace Martin Irmler with:
Martin Irmler Germany
Takashi Matozaki Japan
Hong Soon Kang United States
Rainer Renkawitz Germany
Tracy A. Willson Australia
Yousuke Takahama Japan
Ken–ichi Yamamura Japan
Yoshifumi Yokota Japan
Nicolas Cagnard France
Hideki Chiba Japan
Mitsuru Matsumoto relative to Martin Irmler Germany Martin Irmler's profile →
Citations per field
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Martin Irmler · 1×
Citations per year

Countries citing papers authored by Mitsuru Matsumoto

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuru Matsumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuru Matsumoto

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuru Matsumoto. A scholar is included among the top collaborators of Mitsuru Matsumoto 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 Mitsuru Matsumoto. Mitsuru Matsumoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 1
4 14
5 18
6 50
7 0
8 108
9 181
10 391
11 16
12 170
13 110
14 143
15 16
16 81
17 23
18 7
19 0
20
Differential staining of cytoid bodies and skin-limited amyloids with monoclonal anti-keratin antibodies.
63

About Mitsuru Matsumoto

Mitsuru Matsumoto is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 107 papers that have together received 7.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (36 papers), Immune Cell Function and Interaction (29 papers) and Immune Response and Inflammation (19 papers). The work is most often cited by research in Immunology (4.2k citations), Cancer Research (1.2k citations) and Endocrinology, Diabetes and Metabolism (784 citations). Mitsuru Matsumoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include David Chaplin, Jun‐ichiro Inoue, Shizuo Akira, Moon H. Nahm, Sanjeev Mariathasan, Yang‐Xin Fu, Hector Molina, Taishin Akiyama, Guangming Huang and Akemi Matsushima. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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