Kei Haniuda

918 citations
22 papers · 640 · 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
    • Gut microbiota and health 2

Kei Haniuda

21 papers receiving 637 citations

Peers

Kei Haniuda
Comparison fields: 5 of 65
  • Immunology 434
  • Nephrology 69
  • Immunology and Allergy 37
  • Oncology 65
  • Radiology, Nuclear Medicine and Imaging 51
Replace Kenichi Akiyama with:
Kenichi Akiyama Japan
Yumiko Kanno Japan
Jeanne Naulet France
Ann‐Katrin Clauder Germany
Kumiko Yanase United States
Dalit Ashany United States
Noriyasu Seki Japan
Sarah Eddy United States
Ryan Schlimgen United States
Inna Verbovetski Israel
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Citations per field
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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 2011248
2 201689
3 201873
4 202050
5 202347
6 201423
7 202119
8 201117
9 201914
10 202411
11 202011
12 202310
13 201710
14 20215
15 20233
16 20233
17 20252
18 20202
19 20221
20 20201

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 640 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), Gut microbiota and health (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Immunology (434 citations), Nephrology (69 citations), Immunology and Allergy (37 citations), Oncology (65 citations) and Radiology, Nuclear Medicine and Imaging (51 citations). Kei Haniuda has collaborated with scholars based in Japan, Canada and Switzerland. Frequent co-authors include Daisuke Kitamura, Takuya Nojima, Ikuo Shiratori, Takachika Azuma, Hitoshi Hasegawa, Hiroyuki Yamada, Jean‐Christophe Renauld, Shogo Takatsuka, Jennifer L. Gommerman and Heather N. Reich. 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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