Jun Ninomiya‐Tsuji

98 papers receiving 10.2k citations

Jun Ninomiya‐Tsuji's Hit Papers

Essential function for the kinase TAK1 in innate and adaptive immune responses 2005 · 836 citations
8360+9+18Years since publication2505007501000

Peers

Jun Ninomiya‐Tsuji
Comparison fields: 5 of 120
  • Cancer Research 3.6k
  • Aging 339
  • Immunology 3.7k
  • Molecular Biology 6.1k
  • Oncology 1.6k
Replace Dan A. Liebermann with:
Dan A. Liebermann United States
Shigeki Miyamoto United States
Razqallah Hakem Canada
Serge Yu. Fuchs United States
Xiaolu Yang United States
Gwyn T. Williams United Kingdom
Tse‐Hua Tan United States
Ting-Ting Yamin United States
Sylvain Meloche Canada
Philippe Bouillet Australia
Jun Ninomiya‐Tsuji relative to Dan A. Liebermann United States Dan A. Liebermann's profile →
Citations per field
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Dan A. Liebermann · 1×
Citations per year

Countries citing papers authored by Jun Ninomiya‐Tsuji

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Ninomiya‐Tsuji Line = papers co-authored together Jun Ninomiya‐Tsuji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
19991055
2
Essential function for the kinase TAK1 in innate and adaptive immune responses
Hit paper breakdown →
2005836
3 2000524
4 1999517
5 2002460
6 1999399
7 2003371
8 2003348
9 2002253
10 2002247
11 2014243
12 1999237
13 2003237
14 2000228
15 1992222
16 2005197
17 2003187
18 2001184
19 1991178
20 2001172

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.

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