Mitsushi Tsujimura

541 citations
10 papers · 467 · h-index 8

Impact in

  • Immunology top 10%
    • Complement system in diseases
    • Immune Cell Function and Interaction
    • Invertebrate Immune Response Mechanisms
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema

Papers in

    • Complement system in diseases 5
    • T-cell and Retrovirus Studies 2
    • Invertebrate Immune Response Mechanisms 2
    • Glycosylation and Glycoproteins Research 1

Mitsushi Tsujimura

10 papers receiving 459 citations

Peers

Mitsushi Tsujimura
Comparison fields: 5 of 70
  • Immunology 300
  • Genetics 71
  • Hematology 75
  • Pharmacology 49
  • Nephrology 26
Replace Chad D. Walls with:
Chad D. Walls United States
Lucas Sica France
Rafael Ríos Spain
Xiaoxia Jiang China
Anna Ericsson Sweden
Michelle Horner United States
Deanna J. Brackman United States
Beáta Tóth Hungary
Danijela Konforte Canada
C.D. Mol United States
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Citations per field
00.5×4.9×
Chad D. Walls · 1×
Citations per year

Countries citing papers authored by Mitsushi Tsujimura

Since Specialization
Citations

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

Fields of papers citing papers by Mitsushi Tsujimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mitsushi Tsujimura, 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 Mitsushi Tsujimura Line = papers co-authored together Mitsushi Tsujimura links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2002171
2 199366
3 200360
4 199548
5 200146
6 200244
7 199213
8 20047
9 20137
10 20065

About Mitsushi Tsujimura

Mitsushi Tsujimura is a scholar working on Immunology, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Epidemiology and Agronomy and Crop Science, having authored 10 papers that have together received 467 indexed citations. Recurring topics across this work include Complement system in diseases (5 papers), Trypanosoma species research and implications (2 papers), Vector-Borne Animal Diseases (2 papers), T-cell and Retrovirus Studies (2 papers), Animal Disease Management and Epidemiology (2 papers), Invertebrate Immune Response Mechanisms (2 papers), Pharmacogenetics and Drug Metabolism (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (300 citations), Genetics (71 citations), Hematology (75 citations), Pharmacology (49 citations) and Nephrology (26 citations). Mitsushi Tsujimura has collaborated with scholars based in Japan, China and United Kingdom. Frequent co-authors include Hiroshi Shiraki, Teizo Fujita, Misao Matsushita, Naotaka Hamasaki, Mikio Kuraya, Yoshiaki Maeda, K. Okochi, Yasuko Sagara, Takashi Miyazaki and H Shiraki. Their work appears in journals such as Cancer Science, Vox Sanguinis, Clinical & Experimental Immunology, The Journal of Immunology and Clinica Chimica Acta.

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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