Satoshi Tanaka

1.3k citations
7 papers · 1.1k indexed · 2 hit papers · h-index 6
Topics
T-cell and B-cell Immunology (6 papers)Immune Cell Function and Interaction (5 papers)Immunotherapy and Immune Responses (4 papers)

In The Last Decade

Satoshi Tanaka

7 papers receiving 1.0k citations

Hit Papers

T cell self-reactivity forms a cytokine milieu for sponta...200520262012201920072005100200300

Peers

Satoshi Tanaka
Comparison fields: 5 of 83
  • Immunology 728
  • Molecular Biology 229
  • Rheumatology 192
  • Oncology 133
  • Cell Biology 99
Replace Robert Ortmann with:
Robert Ortmann United States
Carla Eponina Carvalho-Pinto Brazil
Eva Reali Italy
Timothy P. LaBranche United States
Kouji Matsushima Japan
David W. LaFleur United States
Cynthia Louis Australia
Debra A. Long Priel United States
Barbara Platzer United States
María Ángeles García-López Spain
Satoshi Tanaka relative to Robert Ortmann United States Robert Ortmann's profile →
Citations per field
00.5×2.7×
Robert Ortmann · 1×
Citations per year

Countries citing papers authored by Satoshi Tanaka

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Tanaka

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Tanaka. A scholar is included among the top collaborators of Satoshi Tanaka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Satoshi Tanaka. Satoshi Tanaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 15
2 79
3
T cell self-reactivity forms a cytokine milieu for spontaneous development of IL-17+ Th cells that cause autoimmune arthritisbreakdown →
399
4 177
5
A role for fungal β-glucans and their receptor Dectin-1 in the induction of autoimmune arthritis in genetically susceptible micebreakdown →
359
6 29
7 1

About Satoshi Tanaka

Satoshi Tanaka is a scholar working on Immunology, Infectious Diseases and Epidemiology, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Immunology (728 citations), Rheumatology (192 citations) and Hematology (96 citations). Satoshi Tanaka has collaborated with scholars based in Japan, Germany and United Kingdom. Frequent co-authors include Shimon Sakaguchi, Noriko Sakaguchi, Hiroyuki Yoshitomi, Keiji Hirota, Takashi Nomura, Motomu Hashimoto, Frank Momburg, Günter J. Hämmerling, Natalio Garbi and Tomoyuki Yamaguchi. Their work appears in journals such as The Journal of Experimental Medicine, Nature Immunology and The Journal of Immunology.

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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