Kei Haniuda

883 citations
22 papers · 607 · h-index 11

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Mast cells and histamine
  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies

Papers in

    • Immune Cell Function and Interaction 14
    • T-cell and B-cell Immunology 11
    • Immunotherapy and Immune Responses 7
    • Mast cells and histamine 2
    • Immune Response and Inflammation 2

Kei Haniuda

20 papers receiving 604 citations

Peers

Kei Haniuda
Comparison fields: 5 of 64
  • Immunology 449
  • Nephrology 66
  • Immunology and Allergy 41
  • Oncology 70
  • Hematology 27
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Kei Haniuda relative to Kenichi Akiyama Japan Kenichi Akiyama's profile →
Citations per field
00.5×3.3×
Kenichi Akiyama · 1×
Citations per year

Countries citing papers authored by Kei Haniuda

Since Specialization
Citations

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

Fields of papers citing papers by Kei Haniuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011241
2 201686
3 201870
4 202046
5 202339
6 201422
7 202118
8 201118
9 201913
10 202411
11 202010
12 201710
13 20238
14 20215
15 20233
16 20202
17 20232
18 20231
19 20201
20 20221

About Kei Haniuda

Kei Haniuda is a scholar working on Immunology, Molecular Biology, Nephrology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 22 papers that have together received 607 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (11 papers), Immunotherapy and Immune Responses (7 papers), Renal Diseases and Glomerulopathies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Mast cells and histamine (2 papers), Immune Response and Inflammation (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (449 citations), Nephrology (66 citations), Immunology and Allergy (41 citations), Oncology (70 citations) and Hematology (27 citations). Kei Haniuda has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Daisuke Kitamura, Takuya Nojima, Takachika Azuma, Ikuo Shiratori, Hitoshi Hasegawa, Jean‐Christophe Renauld, Hiroyuki Yamada, Shogo Takatsuka, Heather N. Reich and Jennifer L. Gommerman. Their work appears in journals such as International Immunology, The Journal of Immunology, Nature Immunology, Nature Communications and Cell Reports.

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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