Mitsuhiro Fujihara

2.2k citations
77 papers · 1.8k · h-index 21

Impact in

    • Blood transfusion and management
  • Immunology top 5%
    • Immune Response and Inflammation
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

Mitsuhiro Fujihara

75 papers receiving 1.7k citations

Peers

Mitsuhiro Fujihara
Comparison fields: 5 of 110
  • Biochemistry 278
  • Immunology 520
  • Hematology 188
  • Cell Biology 207
  • Genetics 118
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Torsten Gloe Germany
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Uwe Reichert France
Hao Peng China
Subbarao Bondada United States
Svetlana Karakhanova Germany
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Citations per field
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Citations per year

Countries citing papers authored by Mitsuhiro Fujihara

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuhiro Fujihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003469
2 199496
3 200883
4 199482
5 201169
6 199361
7 200358
8 200252
9 200348
10 200747
11 200141
12 199838
13 199938
14
Lipopolysaccharide-triggered desensitization of TNF-alpha mRNA expression involves lack of phosphorylation of IkappaBalpha in a murine macrophage-like cell line, P388D1.
200027
15 200025
16 200725
17 200524
18 200623
19 200623
20 199722

About Mitsuhiro Fujihara

Mitsuhiro Fujihara is a scholar working on Immunology, Molecular Biology, Physiology, Cell Biology and Hematology, having authored 77 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hemoglobin structure and function (14 papers), Erythrocyte Function and Pathophysiology (10 papers), Blood transfusion and management (10 papers), Immune Response and Inflammation (8 papers), Platelet Disorders and Treatments (5 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Immune cells in cancer (4 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Biochemistry (278 citations), Immunology (520 citations), Hematology (188 citations), Cell Biology (207 citations) and Genetics (118 citations). Mitsuhiro Fujihara has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Hisami Ikeda, Masashi Muroi, Tsuneo Suzuki, Hiroshi Azuma, Ken‐ichi Tanamoto, Hiroshi Azuma, Kenji Ikebuchi, Noriko Ito, Shinobu Wakamoto and S Sekiguchi. Their work appears in journals such as Transfusion, Vox Sanguinis, Blood, Experimental Hematology and Immunopharmacology and Immunotoxicology.

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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