Satoshi Kishida
Impact in
- Cancer Research top 2%
- NF-κB Signaling Pathways
- Immunology top 5%
- Immune Response and Inflammation
- interferon and immune responses
Papers in
-
- Chemical Synthesis and Analysis 3
- Cancer therapeutics and mechanisms 3
- Glycosylation and Glycoproteins Research 2
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- Cancer, Hypoxia, and Metabolism 11
- NF-κB Signaling Pathways 4
- Co-authors
- Jun Ninomiya‐Tsuji (6 shared papers)Kunihiro Matsumoto (5 shared papers)Kenji Kadomatsu (24 shared papers)Hiroshi Shibuyà (2 shared papers)Giichi Takaesu (2 shared papers)Toshihiro Yamaguchi (1 shared paper)Atsushi Hiyama (1 shared paper)Kenji Irie (1 shared paper)
- Journals
- Cancer Science (4 papers)Cancer Research (3 papers)Scientific Reports (3 papers)Tetrahedron Letters (3 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Satoshi Kishida
48 papers receiving 2.6k citations
Satoshi Kishida's Hit Papers
Peers
Comparison fields: 5 of 109
- Cancer Research 650
- Immunology 609
- Cell Biology 350
- Molecular Biology 1.5k
- Oncology 373
Countries citing papers authored by Satoshi Kishida
This map shows the geographic impact of Satoshi Kishida'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 Kishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Kishida more than expected).
Fields of papers citing papers by Satoshi Kishida
This network shows the impact of papers produced by Satoshi Kishida. 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 Kishida. The network helps show where Satoshi Kishida may publish in the future.
Co-authors
The 25 scholars most cited alongside Satoshi Kishida, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TAB2, a Novel Adaptor Protein, Mediates Activation of TAK1 MAPKKK by Linking TAK1 to TRAF6 in the IL-1 Signal Transduction Pathway Hit paper breakdown → | 2000 | 521 |
| 2 | 2002 | 458 | |
| 3 | 2001 | 176 | |
| 4 | 2004 | 157 | |
| 5 | 2004 | 148 | |
| 6 | 2013 | 106 | |
| 7 | 1984 | 101 | |
| 8 | 2005 | 80 | |
| 9 | 2013 | 68 | |
| 10 | 2012 | 53 | |
| 11 | 2011 | 52 | |
| 12 | 2012 | 48 | |
| 13 | 2008 | 43 | |
| 14 | 2012 | 42 | |
| 15 | 1981 | 40 | |
| 16 | 2011 | 38 | |
| 17 | 2015 | 37 | |
| 18 | 2002 | 33 | |
| 19 | 2013 | 31 | |
| 20 | 2017 | 31 |
About Satoshi Kishida
Satoshi Kishida is a scholar working on Molecular Biology, Cancer Research, Neurology, Cell Biology and Organic Chemistry, having authored 50 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (15 papers), Cancer, Hypoxia, and Metabolism (11 papers), Proteoglycans and glycosaminoglycans research (8 papers), NF-κB Signaling Pathways (4 papers), Immune Response and Inflammation (3 papers), Chemical Synthesis and Analysis (3 papers), Cancer therapeutics and mechanisms (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cancer Research (650 citations), Immunology (609 citations), Cell Biology (350 citations), Molecular Biology (1.5k citations) and Oncology (373 citations). Satoshi Kishida has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Jun Ninomiya‐Tsuji, Kunihiro Matsumoto, Kenji Kadomatsu, Hiroshi Shibuyà, Giichi Takaesu, Toshihiro Yamaguchi, Atsushi Hiyama, Kenji Irie, Tohru Ishitani and Shoma Tsubota. Their work appears in journals such as Cancer Science, Cancer Research, Scientific Reports, Tetrahedron Letters and Molecular and Cellular Biology.
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.