Jun Tsukada
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
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 8
- Cytokine Signaling Pathways and Interactions 4
- Peptidase Inhibition and Analysis 3
- Chemokine receptors and signaling 1
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- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 2
- Galectins and Cancer Biology 1
- Co-authors
- Masato Kubo (5 shared papers)Hiromasa Inoue (2 shared papers)Kenji Tanigaki (2 shared papers)Masayuki Tsuji (2 shared papers)Tasuku Honjo (2 shared papers)Akihiko Yoshimura (3 shared papers)Hua Han (1 shared paper)Norio Yamamoto (1 shared paper)
- Journals
- Immunity (3 papers)International Immunology (2 papers)Molecular Cancer Therapeutics (1 paper)International Journal of Cancer (1 paper)Pancreas (1 paper)
- Partner nations
- JapanCanadaUnited Kingdom
In The Last Decade
Jun Tsukada
10 papers receiving 972 citations
Peers
Comparison fields: 5 of 76
- Immunology 623
- Oncology 388
- Pharmacology 48
- Cancer Research 78
- Molecular Biology 320
Countries citing papers authored by Jun Tsukada
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 261 | |
| 2 | 2003 | 192 | |
| 3 | 2002 | 181 | |
| 4 | 2011 | 123 | |
| 5 | 2006 | 107 | |
| 6 | 2008 | 57 | |
| 7 | 2008 | 45 | |
| 8 | 2005 | 11 | |
| 9 | 2006 | 6 | |
| 10 | 2023 | 1 |
About Jun Tsukada
Jun Tsukada is a scholar working on Oncology, Immunology, Molecular Biology, Cellular and Molecular Neuroscience and Toxicology, having authored 10 papers that have together received 984 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers), Peptidase Inhibition and Analysis (3 papers), Immune Cell Function and Interaction (2 papers), Chemokine receptors and signaling (1 paper), Signaling Pathways in Disease (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology (623 citations), Oncology (388 citations), Pharmacology (48 citations), Cancer Research (78 citations) and Molecular Biology (320 citations). Jun Tsukada has collaborated with scholars based in Japan, Canada and United Kingdom. Frequent co-authors include Masato Kubo, Hiromasa Inoue, Kenji Tanigaki, Masayuki Tsuji, Tasuku Honjo, Akihiko Yoshimura, Hua Han, Norio Yamamoto, Katsuhiko Hayashi and Toshikatsu Hanada. Their work appears in journals such as Immunity, International Immunology, Molecular Cancer Therapeutics, International Journal of Cancer and Pancreas.
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.