Eiichiro Ueda

1.7k citations
27 papers · 1.5k · h-index 15

Impact in

  • Immunology top 5%
    • Psoriasis: Treatment and Pathogenesis
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Dermatology and Skin Diseases

Papers in

    • Dermatology and Skin Diseases 5
    • Contact Dermatitis and Allergies 2
    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 3
    • Psoriasis: Treatment and Pathogenesis 2

Eiichiro Ueda

26 papers receiving 1.4k citations

Peers

Eiichiro Ueda
Comparison fields: 5 of 79
  • Immunology 491
  • Dermatology 127
  • Cell Biology 199
  • Endocrine and Autonomic Systems 75
  • Cellular and Molecular Neuroscience 125
Replace Askar M. Akimzhanov with:
Askar M. Akimzhanov United States
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Citations per field
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Citations per year

Countries citing papers authored by Eiichiro Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Eiichiro Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000284
2 1998254
3 2001202
4 2009122
5
High incidence of T-cell lymphomas in mice deficient in the retinoid-related orphan receptor RORgamma.
200281
6 200880
7 200973
8 199662
9 200759
10 200248
11 200934
12 200625
13 200723
14 200619
15 200819
16 200814
17 199412
18 200811
19 20099
20 19957

About Eiichiro Ueda

Eiichiro Ueda is a scholar working on Dermatology, Immunology, Cell Biology, Oncology and Pathology and Forensic Medicine, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (5 papers), Skin and Cellular Biology Research (4 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers), Cutaneous Melanoma Detection and Management (3 papers), Nuclear Receptors and Signaling (2 papers), Contact Dermatitis and Allergies (2 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). The work is most often cited by research in Immunology (491 citations), Dermatology (127 citations), Cell Biology (199 citations), Endocrine and Autonomic Systems (75 citations) and Cellular and Molecular Neuroscience (125 citations). Eiichiro Ueda has collaborated with scholars based in Japan, United States and Israel. Frequent co-authors include Anton M. Jetten, Saburo Kishimoto, Norito Katoh, Morito Sakaue, Shogo Kurebayashi, Alexander V. Medvedev, Dhavalkumar D. Patel, Feng Zhang, Risa Tamagawa‐Mineoka and Hirokazu Yasuno. Their work appears in journals such as The Journal of Dermatology, Investigative Ophthalmology & Visual Science, Journal of Dermatological Science, Acta Dermato Venereologica and Proceedings of the National Academy of Sciences.

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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