Jun Tsukada

1.2k citations
10 papers · 1k · h-index 8

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 1
    • Cytokine Signaling Pathways and Interactions 4
    • Pancreatic and Hepatic Oncology Research 1
    • Lung Cancer Research Studies 1

Jun Tsukada

10 papers receiving 1k citations

Peers

Jun Tsukada
Comparison fields: 5 of 57
  • Immunology 497
  • Oncology 271
  • Cancer Research 47
  • Immunology and Allergy 14
  • Molecular Biology 172
Replace Gerd Müller with:
Gerd Müller Germany
Thomas Magg Germany
Xiulan Qi United States
Wensheng Sun China
Faranaz Atschekzei Germany
Jan Kubach Germany
Navneet P. Ratti United States
Barbro Ehlin‐Henriksson Sweden
Janneke van Blijswijk United Kingdom
Christiane Samarut France
Jun Tsukada relative to Gerd Müller Germany Gerd Müller's profile →
Citations per field
00.5×1.5×1.8×
Gerd Müller · 1×
Citations per year

Countries citing papers authored by Jun Tsukada

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tsukada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2004269
2 2003200
3 2002186
4 2011130
5 2006110
6 200858
7 200846
8 200512
9 20227
10 20066

About Jun Tsukada

Jun Tsukada is a scholar working on Immunology, Oncology, Otorhinolaryngology, Cancer Research and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Head and Neck Cancer Studies (2 papers), Protease and Inhibitor Mechanisms (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Immunotherapy and Immune Responses (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Immunology (497 citations), Oncology (271 citations), Cancer Research (47 citations), Immunology and Allergy (14 citations) and Molecular Biology (172 citations). Jun Tsukada has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Masato Kubo, Hiromasa Inoue, Tasuku Honjo, Masayuki Tsuji, Kenji Tanigaki, Akihiko Yoshimura, Norio Yamamoto, Hua Han, Katsuhiko Hayashi and Toshikatsu Hanada. Their work appears in journals such as Immunity, International Immunology, Journal of Oncology, Proceedings of the National Academy of Sciences and International Journal of Cancer.

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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