Satoshi Kishida
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Immunology top 10%
- Immune Response and Inflammation
Papers in
- Neurology 17
- Neuroblastoma Research and Treatments 17
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- Proteoglycans and glycosaminoglycans research 3
- Microtubule and mitosis dynamics 1
- Co-authors
- Jun Ninomiya‐Tsuji (5 shared papers)Kunihiro Matsumoto (5 shared papers)Kenji Kadomatsu (24 shared papers)Hiroshi Shibuyà (2 shared papers)Giichi Takaesu (2 shared papers)Kenji Irie (1 shared paper)Toshihiro Yamaguchi (1 shared paper)Shoma Tsubota (6 shared papers)
- Journals
- Cancer Science (4 papers)Scientific Reports (3 papers)Cancer Research (3 papers)British Journal of Pharmacology (2 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- JapanUnited StatesHungary
In The Last Decade
Satoshi Kishida
28 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 89
- Cancer Research 366
- Immunology 281
- Neurology 187
- Molecular Biology 807
- Developmental Neuroscience 26
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 521 | |
| 2 | 2002 | 460 | |
| 3 | 2001 | 172 | |
| 4 | 2004 | 161 | |
| 5 | 2013 | 113 | |
| 6 | 2005 | 81 | |
| 7 | 2013 | 73 | |
| 8 | 2012 | 55 | |
| 9 | 2011 | 52 | |
| 10 | 2008 | 45 | |
| 11 | 2012 | 43 | |
| 12 | 2017 | 35 | |
| 13 | 2013 | 33 | |
| 14 | 2014 | 32 | |
| 15 | 2017 | 32 | |
| 16 | 2017 | 32 | |
| 17 | 2009 | 27 | |
| 18 | 2014 | 26 | |
| 19 | 2010 | 25 | |
| 20 | 2013 | 25 |
About Satoshi Kishida
Satoshi Kishida is a scholar working on Neurology, Cell Biology, Cancer Research, Immunology and Molecular Biology, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (17 papers), NF-κB Signaling Pathways (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Fibroblast Growth Factor Research (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Pulmonary Hypertension Research and Treatments (1 paper), Microtubule and mitosis dynamics (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Cancer Research (366 citations), Immunology (281 citations), Neurology (187 citations), Molecular Biology (807 citations) and Developmental Neuroscience (26 citations). Satoshi Kishida has collaborated with scholars based in Japan, United States and Hungary. Frequent co-authors include Jun Ninomiya‐Tsuji, Kunihiro Matsumoto, Kenji Kadomatsu, Hiroshi Shibuyà, Giichi Takaesu, Kenji Irie, Toshihiro Yamaguchi, Shoma Tsubota, Naoto Ueno and Tohru Ishitani. Their work appears in journals such as Cancer Science, Scientific Reports, Cancer Research, British Journal of Pharmacology 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.