Misako Matsumoto

20.2k citations
292 papers · 15.7k indexed · 2 hit papers · h-index 67

Misako Matsumoto

289 papers receiving 15.5k citations

Hit Papers

Subcellular Localization of Toll-Like Receptor 3 in Human...5762003202620102018250500750

Peers

Misako Matsumoto
Comparison fields: 5 of 134
  • Immunology 11.5k
  • Microbiology 1.1k
  • Cancer Research 1.7k
  • Infectious Diseases 1.5k
  • Epidemiology 2.7k
Replace Tsukasa Seya with:
Tsukasa Seya Japan
Xin Du United States
Paul J. Godowski United States
Hideki Sanjo Japan
Tim Sparwasser Germany
Eyal Raz United States
Paul J. Hertzog Australia
Brian G. Monks United States
Robert A. Kastelein United States
Kasper Hoebe United States
Misako Matsumoto relative to Tsukasa Seya Japan Tsukasa Seya's profile →
Citations per field
00.5×1.5×
Tsukasa Seya · 1×
Citations per year

Countries citing papers authored by Misako Matsumoto

Since Specialization
Citations

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

Fields of papers citing papers by Misako Matsumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Misako Matsumoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Misako Matsumoto Line = papers co-authored together Misako Matsumoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 201717
3 201576
4
[Chronic hepatitis C virus infection attenuates host antiviral innate immune response].
20152
5 2009240
6
ISOLATION AND CHARACTERIZATION OF RNA APTAMERS SPECIFIC FOR THE HUMAN TOLL-LIKE RECEPTOR 3 ECTODOMAIN
20091
7 200874
8 200753
9 200741
10 200778
11 2005107
12 200553
13 200514
14 200598
15 200427
16 200323
17
Subcellular Localization of Toll-Like Receptor 3 in Human Dendritic Cellsbreakdown →
2003576
18 2001106
19 200124
20 200071

About Misako Matsumoto

Misako Matsumoto is a scholar working on Immunology, Microbiology and Hematology, having authored 292 papers that have together received 15.7k indexed citations. Recurring topics across this work include Immune Response and Inflammation (134 papers), interferon and immune responses (73 papers), Immunotherapy and Immune Responses (62 papers), Immune Cell Function and Interaction (59 papers), Complement system in diseases (37 papers), RNA Interference and Gene Delivery (28 papers), Virology and Viral Diseases (21 papers) and Antimicrobial Peptides and Activities (19 papers). The work is most often cited by research in Immunology (11.5k citations), Microbiology (1.1k citations) and Cancer Research (1.7k citations). Misako Matsumoto has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Tsukasa Seya, Hiroyuki Oshiumi, Kenji Funami, Takashi Akazawa, Kumao Toyoshima, Hiroaki Shime, Masashi Shingai, Moeko Miyashita, Tadayuki Tsujita and Megumi Tatematsu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

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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