Taiga Tamiya

1.0k citations
14 papers · 892 indexed · h-index 10

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • interferon and immune responses
    • IL-33, ST2, and ILC Pathways
    • Immune Response and Inflammation
    • Psoriasis: Treatment and Pathogenesis
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions

Papers in

Taiga Tamiya

14 papers receiving 884 citations

Peers

Taiga Tamiya
Comparison fields: 5 of 83
  • Immunology 515
  • Oncology 308
  • Cancer Research 110
  • Pharmacology 56
  • Immunology and Allergy 29
Replace Ikko Kashiwagi with:
Ikko Kashiwagi Japan
Jun‐Geol Ryu South Korea
Rhiannon Morris Australia
Hokuto Kamon Japan
José R. Cortés United States
Garam Choi South Korea
Chong‐Hyeon Yoon South Korea
Sharlene Velichko United States
Jeong‐su Do United States
G. Kojouharoff Germany
Taiga Tamiya relative to Ikko Kashiwagi Japan Ikko Kashiwagi's profile →
Citations per field
00.5×1.5×1.8×
Ikko Kashiwagi · 1×
Citations per year

Countries citing papers authored by Taiga Tamiya

Since Specialization
Citations

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

Fields of papers citing papers by Taiga Tamiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 20231
2 202124
3 20202
4 20206
5 20207
6 201928
7 201387
8 201148
9 201139
10 2011108
11 2011282
12 201164
13 2011159
14 201137

About Taiga Tamiya

Taiga Tamiya is a scholar working on Gastroenterology, Nutrition and Dietetics, Toxicology, Immunology and Cancer Research, having authored 14 papers that have together received 892 indexed citations. Recurring topics across this work include Food composition and properties (4 papers), Gut microbiota and health (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Microbial Metabolites in Food Biotechnology (2 papers), Gastrointestinal motility and disorders (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Probiotics and Fermented Foods (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (515 citations), Oncology (308 citations), Cancer Research (110 citations), Pharmacology (56 citations) and Immunology and Allergy (29 citations). Taiga Tamiya has collaborated with scholars based in Japan. Frequent co-authors include Reiko Takahashi, Akihiko Yoshimura, Ikko Kashiwagi, Hideo Yasukawa, Rimpei Morita, Akihiro Kimura, Takashi Sekiya, Akihiko Yoshimura, Go Muto and Naoko Inoue. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Oncology, Cancer Letters, Journal of Biological Chemistry and Immunity.

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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