Chaohui Gu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- Cancer-related gene regulation
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- Circular RNAs in diseases 6
- RNA Research and Splicing 2
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 5
- Co-authors
- Fengyan Tian (12 shared papers)Naichun Zhou (6 shared papers)Zhiyu Wang (2 shared papers)Guanru Li (3 shared papers)Fei Xie (4 shared papers)Dan Tao (3 shared papers)Zhenzhen Li (4 shared papers)Hui Zhang (3 shared papers)
- Journals
- World Journal of Urology (2 papers)Nephrology (2 papers)Biomarkers (1 paper)International Journal of Surgery (1 paper)Journal of Applied Polymer Science (1 paper)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Chaohui Gu
22 papers receiving 697 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 387
- Molecular Biology 534
- Urology 46
- Nephrology 38
- Pulmonary and Respiratory Medicine 100
Countries citing papers authored by Chaohui Gu
This map shows the geographic impact of Chaohui Gu'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 Chaohui Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaohui Gu more than expected).
Fields of papers citing papers by Chaohui Gu
This network shows the impact of papers produced by Chaohui Gu. 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 Chaohui Gu. The network helps show where Chaohui Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaohui Gu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 156 | |
| 2 | 2019 | 97 | |
| 3 | 2016 | 94 | |
| 4 | 2018 | 75 | |
| 5 | 2019 | 59 | |
| 6 | 2019 | 33 | |
| 7 | 2018 | 27 | |
| 8 | 2016 | 27 | |
| 9 | 2019 | 24 | |
| 10 | 2017 | 24 | |
| 11 | 2020 | 16 | |
| 12 | 2024 | 13 | |
| 13 | 2018 | 13 | |
| 14 | 2017 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2012 | 8 | |
| 17 | 2014 | 8 | |
| 18 | 2015 | 5 | |
| 19 | 2021 | 3 | |
| 20 | 2014 | 2 |
About Chaohui Gu
Chaohui Gu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Urology and Rheumatology, having authored 22 papers that have together received 704 indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Urological Disorders and Treatments (4 papers), Urinary Bladder and Prostate Research (3 papers), Ferroptosis and cancer prognosis (2 papers), RNA Research and Splicing (2 papers) and Urologic and reproductive health conditions (2 papers). The work is most often cited by research in Cancer Research (387 citations), Molecular Biology (534 citations), Urology (46 citations), Nephrology (38 citations) and Pulmonary and Respiratory Medicine (100 citations). Chaohui Gu has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Fengyan Tian, Naichun Zhou, Zhiyu Wang, Guanru Li, Fei Xie, Dan Tao, Zhenzhen Li, Hui Zhang, Miao Wang and Xianghua Liu. Their work appears in journals such as World Journal of Urology, Nephrology, Biomarkers, International Journal of Surgery and Journal of Applied Polymer Science.
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.