Jun Ninomiya‐Tsuji
Impact in
- Cancer Research top 0.5%
- NF-κB Signaling Pathways
- Aging top 0.5%
Papers in
-
- NF-κB Signaling Pathways 49
- Immunology 39
- Immune Response and Inflammation 30
- interferon and immune responses 16
- Co-authors
- Kunihiro Matsumoto (51 shared papers)Hiroshi Shibuyà (8 shared papers)Kazuya Kishimoto (2 shared papers)Giichi Takaesu (11 shared papers)Atsushi Hiyama (2 shared papers)Tohru Ishitani (5 shared papers)Shizuo Akira (8 shared papers)Satoshi Kishida (5 shared papers)
- Journals
- Journal of Biological Chemistry (21 papers)Experimental Cell Research (8 papers)Molecular and Cellular Biology (7 papers)Proceedings of the National Academy of Sciences (4 papers)Nature (4 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Jun Ninomiya‐Tsuji
98 papers receiving 10.2k citations
Jun Ninomiya‐Tsuji's Hit Papers
Peers
Comparison fields: 5 of 120
- Cancer Research 3.6k
- Aging 339
- Immunology 3.7k
- Molecular Biology 6.1k
- Oncology 1.6k
Countries citing papers authored by Jun Ninomiya‐Tsuji
This map shows the geographic impact of Jun Ninomiya‐Tsuji'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 Ninomiya‐Tsuji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ninomiya‐Tsuji more than expected).
Fields of papers citing papers by Jun Ninomiya‐Tsuji
This network shows the impact of papers produced by Jun Ninomiya‐Tsuji. 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 Ninomiya‐Tsuji. The network helps show where Jun Ninomiya‐Tsuji may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ninomiya‐Tsuji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The kinase TAK1 can activate the NIK-IκB as well as the MAP kinase cascade in the IL-1 signalling pathway Hit paper breakdown → | 1999 | 1055 |
| 2 | Essential function for the kinase TAK1 in innate and adaptive immune responses Hit paper breakdown → | 2005 | 836 |
| 3 | 2000 | 524 | |
| 4 | 1999 | 517 | |
| 5 | 2002 | 460 | |
| 6 | 1999 | 399 | |
| 7 | 2003 | 371 | |
| 8 | 2003 | 348 | |
| 9 | 2002 | 253 | |
| 10 | 2002 | 247 | |
| 11 | 2014 | 243 | |
| 12 | 1999 | 237 | |
| 13 | 2003 | 237 | |
| 14 | 2000 | 228 | |
| 15 | 1992 | 222 | |
| 16 | 2005 | 197 | |
| 17 | 2003 | 187 | |
| 18 | 2001 | 184 | |
| 19 | 1991 | 178 | |
| 20 | 2001 | 172 |
About Jun Ninomiya‐Tsuji
Jun Ninomiya‐Tsuji is a scholar working on Cancer Research, Immunology, Molecular Biology, Oncology and Genetics, having authored 99 papers that have together received 10.4k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (49 papers), Immune Response and Inflammation (30 papers), interferon and immune responses (16 papers), TGF-β signaling in diseases (9 papers), Cytokine Signaling Pathways and Interactions (9 papers), Cell death mechanisms and regulation (9 papers), Virus-based gene therapy research (9 papers) and Cell Adhesion Molecules Research (6 papers). The work is most often cited by research in Cancer Research (3.6k citations), Aging (339 citations), Immunology (3.7k citations), Molecular Biology (6.1k citations) and Oncology (1.6k citations). Jun Ninomiya‐Tsuji has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kunihiro Matsumoto, Hiroshi Shibuyà, Kazuya Kishimoto, Giichi Takaesu, Atsushi Hiyama, Tohru Ishitani, Shizuo Akira, Satoshi Kishida, Zhaodan Cao and Jun‐ichiro Inoue. Their work appears in journals such as Journal of Biological Chemistry, Experimental Cell Research, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences and Nature.
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.