Chaowan Guo
Impact in
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- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- DNA Repair Mechanisms 5
- CRISPR and Genetic Engineering 2
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- Influenza Virus Research Studies 4
- Co-authors
- Tomoo Ogi (6 shared papers)Yuka Nakazawa (5 shared papers)Kaio Kitazato (9 shared papers)Yifei Wang (9 shared papers)Masahiko Okuda (1 shared paper)Yoshifumi Nishimura (1 shared paper)Ge Liu (5 shared papers)Sheng Xiong (8 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)RSC Advances (2 papers)Molecules (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Chaowan Guo
29 papers receiving 594 citations
Peers
Comparison fields: 5 of 89
- Aging 12
- Molecular Biology 352
- Pharmacology 34
- Biochemistry 23
- Virology 18
Countries citing papers authored by Chaowan Guo
This map shows the geographic impact of Chaowan Guo'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 Chaowan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaowan Guo more than expected).
Fields of papers citing papers by Chaowan Guo
This network shows the impact of papers produced by Chaowan Guo. 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 Chaowan Guo. The network helps show where Chaowan Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaowan Guo, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 91 | |
| 2 | 2011 | 76 | |
| 3 | 2016 | 44 | |
| 4 | 2021 | 38 | |
| 5 | 2015 | 37 | |
| 6 | 2009 | 35 | |
| 7 | 2011 | 34 | |
| 8 | 2014 | 31 | |
| 9 | 2022 | 30 | |
| 10 | 2021 | 20 | |
| 11 | 2014 | 19 | |
| 12 | 2022 | 18 | |
| 13 | 2014 | 17 | |
| 14 | 2023 | 15 | |
| 15 | 2014 | 14 | |
| 16 | 2015 | 13 | |
| 17 | 2021 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2014 | 10 | |
| 20 | 2024 | 8 |
About Chaowan Guo
Chaowan Guo is a scholar working on Molecular Biology, Epidemiology, Dermatology, Genetics and Cell Biology, having authored 31 papers that have together received 600 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Skin Protection and Aging (4 papers), Influenza Virus Research Studies (4 papers), Immune Response and Inflammation (3 papers), Nanoplatforms for cancer theranostics (2 papers), Virus-based gene therapy research (2 papers), CRISPR and Genetic Engineering (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (12 citations), Molecular Biology (352 citations), Pharmacology (34 citations), Biochemistry (23 citations) and Virology (18 citations). Chaowan Guo has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Tomoo Ogi, Yuka Nakazawa, Kaio Kitazato, Yifei Wang, Masahiko Okuda, Yoshifumi Nishimura, Ge Liu, Sheng Xiong, Nan Jia and Ying‐Jun Zhang. Their work appears in journals such as Biochemical and Biophysical Research Communications, RSC Advances, Molecules, PLoS ONE 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.