Kyoko Kitagawa
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 7
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways 16
- Epigenetics and DNA Methylation 12
- RNA modifications and cancer 8
- TGF-β signaling in diseases 6
- RNA Research and Splicing 6
- Oncology top 5%
- Cancer-related Molecular Pathways 19
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- Alcohol Consumption and Health Effects 12
- Biochemistry top 5%
- Co-authors
- Masatoshi KitagawaToshihiro KawamotoSayuri SuzukiYasuhito KotakeYin XiongToshiyuki NakagawaChiharu UchidaYojiro Kotake
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (3 papers)Nature Communications (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kyoko Kitagawa
84 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Cancer Research 1.5k
- Molecular Biology 3.1k
- Oncology 885
- Pathology and Forensic Medicine 582
- Biochemistry 154
Countries citing papers authored by Kyoko Kitagawa
This map shows the geographic impact of Kyoko Kitagawa'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 Kitagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyoko Kitagawa more than expected).
Fields of papers citing papers by Kyoko Kitagawa
This network shows the impact of papers produced by Kyoko Kitagawa. 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 Kitagawa. The network helps show where Kyoko Kitagawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kyoko Kitagawa, 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 | 2023 | 2 | |
| 2 | 2021 | 10 | |
| 3 | 2020 | 17 | |
| 4 | 2020 | 1 | |
| 5 | 2019 | 81 | |
| 6 | 2017 | 11 | |
| 7 | 2016 | 83 | |
| 8 | 2015 | 28 | |
| 9 | 2013 | 225 | |
| 10 | 2010 | 14 | |
| 11 | 2009 | 42 | |
| 12 | 2008 | 6 | |
| 13 | 2007 | 81 | |
| 14 | 2006 | 68 | |
| 15 | 2006 | 56 | |
| 16 | 2002 | 63 | |
| 17 | Individual Differences in Urinary Cotinine Levels in Japanese Smokers | 2001 | 1 |
| 18 | 1996 | 6 | |
| 19 | 1993 | 15 | |
| 20 | 1991 | 276 |
About Kyoko Kitagawa
Kyoko Kitagawa is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 86 papers that have together received 4.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (19 papers), Ubiquitin and proteasome pathways (16 papers), Epigenetics and DNA Methylation (12 papers), Alcohol Consumption and Health Effects (12 papers), RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (7 papers), TGF-β signaling in diseases (6 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (3.1k citations) and Oncology (885 citations). Kyoko Kitagawa has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masatoshi Kitagawa, Toshihiro Kawamoto, Sayuri Suzuki, Yasuhito Kotake, Yin Xiong, Toshiyuki Nakagawa, Chiharu Uchida, Yojiro Kotake, Takayuki Hattori and Hiroyuki Niida. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.