Kingo Fujimura

1.6k citations
63 papers · 1.2k · h-index 21

Impact in

Papers in

    • Platelet Disorders and Treatments 34
    • Blood groups and transfusion 16
    • Blood Coagulation and Thrombosis Mechanisms 7
    • Blood disorders and treatments 11
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 7

Kingo Fujimura

61 papers receiving 1.2k citations

Peers

Kingo Fujimura
Comparison fields: 5 of 86
  • Hematology 814
  • Immunology and Allergy 105
  • Genetics 142
  • Nephrology 70
  • Pathology and Forensic Medicine 172
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Citations per field
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Citations per year

Countries citing papers authored by Kingo Fujimura

Since Specialization
Citations

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

Fields of papers citing papers by Kingo Fujimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200393
2 200590
3 200277
4 201171
5 199960
6 200755
7 199752
8 200150
9 199548
10 200344
11 198843
12 202042
13 199637
14 200337
15
A point mutation in glycoprotein IX coding sequence (Cys73 (TGT) to Tyr(TAT)) causes impaired surface expression of GPIb/IX/V complex in two families with Bernard-Soulier syndrome.
199637
16 199629
17 202025
18 200522
19 199121
20
Molecular and genetic analysis of two patients with Bernard-Soulier syndrome--identification of new mutations in glycoprotein Ib alpha gene.
199721

About Kingo Fujimura

Kingo Fujimura is a scholar working on Hematology, Genetics, Genetics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (34 papers), Blood groups and transfusion (16 papers), Blood disorders and treatments (11 papers), Cell Adhesion Molecules Research (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers), Autoimmune Bullous Skin Diseases (6 papers) and Blood properties and coagulation (6 papers). The work is most often cited by research in Hematology (814 citations), Immunology and Allergy (105 citations), Genetics (142 citations), Nephrology (70 citations) and Pathology and Forensic Medicine (172 citations). Kingo Fujimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tetsuro‐Takahiro Fujimoto, Takeshi Shimomura, Toshiro Takafuta, Masataka Kuwana, Yoshiyuki Kurata, Atsushi Kuramoto, Yoshiaki Tomiyama, Mitsuru Murata, Shinya Katsutani and Hiroshi Miyazaki. Their work appears in journals such as International Journal of Hematology, Thrombosis and Haemostasis, Thrombosis Research, Blood and British Journal of Haematology.

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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