Junichi Kitazawa

609 citations
51 papers · 408 · h-index 11

Impact in

  • Biochemistry top 10%
    • Blood transfusion and management
  • Hematology top 10%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments

Papers in

    • Blood groups and transfusion 13
    • Platelet Disorders and Treatments 7
    • Blood transfusion and management 13

Junichi Kitazawa

43 papers receiving 397 citations

Peers

Junichi Kitazawa
Comparison fields: 5 of 77
  • Biochemistry 60
  • Hematology 95
  • Applied Microbiology and Biotechnology 11
  • Clinical Biochemistry 36
  • Management of Technology and Innovation 36
Replace Han Chul Son with:
Han Chul Son South Korea
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Hwan Sub Lim South Korea
Kaushal K Prasad India
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Citations per year

Countries citing papers authored by Junichi Kitazawa

Since Specialization
Citations

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

Fields of papers citing papers by Junichi Kitazawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010120
2 201026
3 201625
4 201524
5 201820
6 202216
7 200815
8 201913
9
Fatal Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis with clonal karyotype abnormality.
200013
10 202011
11 200410
12 20169
13 20139
14 20049
15 20097
16 20216
17 20066
18 20146
19 20054
20 20224

About Junichi Kitazawa

Junichi Kitazawa is a scholar working on Hematology, Biochemistry, Management of Technology and Innovation, Infectious Diseases and Epidemiology, having authored 51 papers that have together received 408 indexed citations. Recurring topics across this work include Blood transfusion and management (13 papers), Blood groups and transfusion (13 papers), Blood donation and transfusion practices (11 papers), Platelet Disorders and Treatments (7 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (5 papers), Hemoglobinopathies and Related Disorders (4 papers), Pharmacy and Medical Practices (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Biochemistry (60 citations), Hematology (95 citations), Applied Microbiology and Biotechnology (11 citations), Clinical Biochemistry (36 citations) and Management of Technology and Innovation (36 citations). Junichi Kitazawa has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Nobuo Yagihashi, Osamu Uehara, Ryuichi Wada, Nobuhisa Yajima, Soroku Yagihashi, Yūichi Sakamoto, Shoji Yamamoto, Hitoshi Ohto, Naoki Tachibana and Asashi Tanaka. Their work appears in journals such as Vox Sanguinis, Transfusion, Infection and Drug Resistance, International Journal of Hematology and Tetrahedron.

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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