Aito Ueno

1.2k citations
31 papers · 993 indexed · h-index 15

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Psoriasis: Treatment and Pathogenesis
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 11
    • T-cell and B-cell Immunology 9
    • Immunodeficiency and Autoimmune Disorders 5
    • Reproductive System and Pregnancy 3
    • Immunotherapy and Immune Responses 3

Aito Ueno

30 papers receiving 979 citations

Peers

Aito Ueno
Comparison fields: 5 of 81
  • Immunology 562
  • Biological Psychiatry 44
  • Genetics 388
  • Gastroenterology 43
  • Epidemiology 177
Replace Agnieszka D. Truax with:
Agnieszka D. Truax United States
Huiying Lu China
David Díaz-Jiménez Chile
Caiyun Ma China
Jiaming Qian China
Samantha Kelly United States
Tomohisa Sujino Japan
Sylvain Normand France
Amanda Waddell United States
Saskia A. Overbeek Netherlands
Aito Ueno relative to Agnieszka D. Truax United States Agnieszka D. Truax's profile →
Citations per field
00.5×3.7×
Agnieszka D. Truax · 1×
Citations per year

Countries citing papers authored by Aito Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Aito Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20224
3 202110
4 202110
5 201728
6 2017214
7 20163
8 201673
9 201632
10 201563
11 201565
12 20154
13 201430
14 2013176
15 200824
16 200714
17 20053
18 200339
19 200014
20 199613

About Aito Ueno

Aito Ueno is a scholar working on Immunology, Biological Psychiatry, Genetics, Behavioral Neuroscience and Epidemiology, having authored 31 papers that have together received 993 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (9 papers), Inflammatory Bowel Disease (8 papers), Microscopic Colitis (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Whipple's Disease and Interleukins (3 papers), Reproductive System and Pregnancy (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (562 citations), Biological Psychiatry (44 citations), Genetics (388 citations), Gastroenterology (43 citations) and Epidemiology (177 citations). Aito Ueno has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include Subrata Ghosh, Humberto Jijon, Toshifumi Hibi∥, Louisa Jeffery, Taku Kobayashi, Remo Panaccione, Gilaad G. Kaplan, Miriam Fort Gasia, Marietta Iacucci and Ronald Chan. Their work appears in journals such as Inflammatory Bowel Diseases, The Journal of Immunology, Gastroenterology, Journal of Crohn s and Colitis and EXPERIMENTAL ANIMALS.

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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