Toshihide Mimura

4.6k citations
133 papers · 3.4k · h-index 32

Impact in

Papers in

    • Systemic Lupus Erythematosus Research 22
    • Rheumatoid Arthritis Research and Therapies 17
    • T-cell and B-cell Immunology 14
    • Immune Cell Function and Interaction 8

Toshihide Mimura

123 papers receiving 3.3k citations

Peers

Toshihide Mimura
Comparison fields: 5 of 121
  • Immunology and Allergy 568
  • Rheumatology 699
  • Immunology 794
  • Hematology 323
  • Cell Biology 374
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Lloyd B. Klickstein United States
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Yaacov Matzner Israel
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Citations per field
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Citations per year

Countries citing papers authored by Toshihide Mimura

Since Specialization
Citations

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

Fields of papers citing papers by Toshihide Mimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995306
2 1995247
3 2021157
4 2013144
5 1996111
6 1991101
7 201499
8 201798
9 201587
10 201682
11 201777
12 200176
13 201474
14
Simvastatin inhibits production of interleukin 6 (IL-6) and IL-8 and cell proliferation induced by tumor necrosis factor-alpha in fibroblast-like synoviocytes from patients with rheumatoid arthritis.
200672
15 199558
16 200356
17
A placebo-controlled trial of the immune modulator, lentinan, in HIV-positive patients: a phase I/II trial.
199850
18 199549
19 202147
20 199045

About Toshihide Mimura

Toshihide Mimura is a scholar working on Rheumatology, Immunology, Molecular Biology, Epidemiology and Hematology, having authored 133 papers that have together received 3.4k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (22 papers), Rheumatoid Arthritis Research and Therapies (17 papers), T-cell and B-cell Immunology (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Autoimmune and Inflammatory Disorders Research (12 papers), Immune Cell Function and Interaction (8 papers), Bone Metabolism and Diseases (7 papers) and Cell Adhesion Molecules Research (7 papers). The work is most often cited by research in Immunology and Allergy (568 citations), Rheumatology (699 citations), Immunology (794 citations), Hematology (323 citations) and Cell Biology (374 citations). Toshihide Mimura has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Yasuto Araki, Kazuhiro Yokota, Kojiro Sato, Ken Hamasaki, Noritsugu Morino, Yuji Akiyama, Yoshihisa Nojima, Yoshio Yazaki, Takashi Miyazaki and Hiroko Furuya. Their work appears in journals such as Modern Rheumatology, Biochemical and Biophysical Research Communications, Scientific Reports, Journal of Biological Chemistry and The Journal of Immunology.

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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