Hideki Mitsui

505 total citations
17 papers, 340 citations indexed

About

Hideki Mitsui is a scholar working on Hematology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Hideki Mitsui has authored 17 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 7 papers in Molecular Biology and 5 papers in Immunology and Allergy. Recurrent topics in Hideki Mitsui's work include Cell Adhesion Molecules Research (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Acute Myeloid Leukemia Research (3 papers). Hideki Mitsui is often cited by papers focused on Cell Adhesion Molecules Research (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Acute Myeloid Leukemia Research (3 papers). Hideki Mitsui collaborates with scholars based in Japan and United States. Hideki Mitsui's co-authors include Kenji Oritani, Yuzuru Kanakura, Itaru Matsumura, Hiroyuki Sugahara, Yoshiaki Tomiyama, Jun Ishikawa, Schickwann Tsai, Keisuke Aoyama, Yūji Matsuzawa and Takafumi Yokota and has published in prestigious journals such as Blood, Journal of Leukocyte Biology and Current Opinion in Immunology.

In The Last Decade

Hideki Mitsui

17 papers receiving 333 citations

Peers

Hideki Mitsui
Comparison fields: 5 of 59
  • Hematology 143
  • Molecular Biology 132
  • Immunology 130
  • Immunology and Allergy 70
  • Oncology 53
Replace Christine Edmead with:
Christine Edmead United Kingdom
Yu Okajima Japan
M C Gendron France
Yulia Katsman Canada
CR Faltynek United States
Ann Leary United States
Laurie Lenox United States
Huayang Tang China
Rudin Kondo Austria
Christine Edmead United Kingdom View profile →
Citations per field, relative to Hideki Mitsui
Hideki Mitsui · 1×
Citations per year, relative to Hideki Mitsui
Hideki Mitsui · 1×

Countries citing papers authored by Hideki Mitsui

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Mitsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Mitsui

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Mitsui. A scholar is included among the top collaborators of Hideki Mitsui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hideki Mitsui. Hideki Mitsui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 9
2 4
3 1
4 22
5 10
6 12
7 4
8 102
9 59
10 39
11 16
12
Functional expression of interleukin 2 receptor in a human factor-dependent megakaryoblastic leukemia cell line: evidence that granulocyte-macrophage colony-stimulating factor inhibits interleukin 2 binding to its receptor.
12
13 10
14
Surface immunoglobulin-mediated signal transduction involves rapid phosphorylation and activation of the protooncogene product Raf-1 in human B-cells.
7
15 10
16 5
17 18

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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2026