Kyoko Shirakabe
- Cancer Research top 2%
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research 5
- Aging top 5%
- Molecular Biology top 2%
- Protein Kinase Regulation and GTPase Signaling 5
- Glycosylation and Glycoproteins Research 4
- TGF-β signaling in diseases 4
- Melanoma and MAPK Pathways 3
- RNA Interference and Gene Delivery 2
- Immunology top 5%
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- Cellular transport and secretion 3
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- Peptidase Inhibition and Analysis 3
- Co-authors
- Eisuke NishidaHiroshi ShibuyàKunihiro MatsumotoToshihiro YamaguchiKenji IrieNaoto UenoYukiko GotohTadatsugu Taniguchi
- Partner nations
- JapanUnited States
In The Last Decade
Kyoko Shirakabe
20 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cancer Research 797
- Immunology and Allergy 267
- Aging 67
- Molecular Biology 2.6k
- Immunology 628
Countries citing papers authored by Kyoko Shirakabe
This map shows the geographic impact of Kyoko Shirakabe'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 Kyoko Shirakabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyoko Shirakabe more than expected).
Fields of papers citing papers by Kyoko Shirakabe
This network shows the impact of papers produced by Kyoko Shirakabe. 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 Kyoko Shirakabe. The network helps show where Kyoko Shirakabe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kyoko Shirakabe, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2020 | 9 | |
| 4 | 2017 | 7 | |
| 5 | 2017 | 23 | |
| 6 | 2014 | 7 | |
| 7 | 2011 | 35 | |
| 8 | 2007 | 47 | |
| 9 | 2006 | 138 | |
| 10 | 2004 | 96 | |
| 11 | 2003 | 29 | |
| 12 | 2002 | 260 | |
| 13 | 2001 | 155 | |
| 14 | 2001 | 156 | |
| 15 | 1997 | 290 | |
| 16 | 1996 | 402 | |
| 17 | TAB1: An Activator of the TAK1 MAPKKK in TGF-β Signal Transductionbreakdown → | 1996 | 505 |
| 18 | 1995 | 158 | |
| 19 | Identification of a Member of the MAPKKK Family as a Potential Mediator of TGF-β Signal Transductionbreakdown → | 1995 | 1167 |
| 20 | 1992 | 42 |
About Kyoko Shirakabe
Kyoko Shirakabe is a scholar working on Immunology and Allergy, Aging and Cell Biology, having authored 20 papers that have together received 3.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Cell Adhesion Molecules Research (5 papers), Glycosylation and Glycoproteins Research (4 papers), TGF-β signaling in diseases (4 papers), Cellular transport and secretion (3 papers), Melanoma and MAPK Pathways (3 papers), Peptidase Inhibition and Analysis (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Cancer Research (797 citations), Immunology and Allergy (267 citations) and Aging (67 citations). Kyoko Shirakabe has collaborated with scholars based in Japan and United States. Frequent co-authors include Eisuke Nishida, Hiroshi Shibuyà, Kunihiro Matsumoto, Toshihiro Yamaguchi, Kenji Irie, Naoto Ueno, Yukiko Gotoh, Tadatsugu Taniguchi, Isao Oishi and Yibing Yan. Their work appears in journals such as Journal of Biological Chemistry, Genes to Cells, Science, Genes & Development and Scientific Reports.
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.