Xiaoping Chen
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- RNA modifications and cancer 8
- Ubiquitin and proteasome pathways 5
- RNA Research and Splicing 5
- TGF-β signaling in diseases 5
- Oncology 21
- Co-authors
- Bixiang Zhang (45 shared papers)Huifang Liang (47 shared papers)Liang Chu (12 shared papers)Zhao Huang (11 shared papers)Junnan Liang (9 shared papers)Jingyuan Wen (5 shared papers)Jin Chen (13 shared papers)Wanguang Zhang (17 shared papers)
- Journals
- Journal of Experimental & Clinical Cancer Research (5 papers)Liver International (4 papers)Frontiers of Medicine (4 papers)Oncogene (3 papers)Science China Life Sciences (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoping Chen
119 papers receiving 3.1k citations
Xiaoping Chen's Hit Papers
Peers
Comparison fields: 5 of 123
- Cancer Research 647
- Hepatology 199
- Molecular Biology 1.5k
- Oncology 456
- Plant Science 497
Countries citing papers authored by Xiaoping Chen
This map shows the geographic impact of Xiaoping Chen'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 Xiaoping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Chen more than expected).
Fields of papers citing papers by Xiaoping Chen
This network shows the impact of papers produced by Xiaoping Chen. 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 Xiaoping Chen. The network helps show where Xiaoping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping Chen, 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 204 | |
| 2 | 2019 | 117 | |
| 3 | 2011 | 101 | |
| 4 | 2011 | 99 | |
| 5 | 2008 | 92 | |
| 6 | 2022 | 88 | |
| 7 | 2007 | 84 | |
| 8 | 2016 | 83 | |
| 9 | 2018 | 79 | |
| 10 | 2019 | 79 | |
| 11 | 2011 | 67 | |
| 12 | 2021 | 63 | |
| 13 | 2010 | 62 | |
| 14 | 2019 | 58 | |
| 15 | 2020 | 56 | |
| 16 | 2020 | 55 | |
| 17 | 2014 | 53 | |
| 18 | 2010 | 51 | |
| 19 | 2015 | 50 | |
| 20 | 2010 | 49 |
About Xiaoping Chen
Xiaoping Chen is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 124 papers that have together received 3.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Cancer Mechanisms and Therapy (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Peanut Plant Research Studies (6 papers), Ubiquitin and proteasome pathways (5 papers), RNA Research and Splicing (5 papers) and TGF-β signaling in diseases (5 papers). The work is most often cited by research in Cancer Research (647 citations), Hepatology (199 citations), Molecular Biology (1.5k citations), Oncology (456 citations) and Plant Science (497 citations). Xiaoping Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bixiang Zhang, Huifang Liang, Liang Chu, Zhao Huang, Junnan Liang, Jingyuan Wen, Jin Chen, Wanguang Zhang, Zhanguo Zhang and Jia Song. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Liver International, Frontiers of Medicine, Oncogene and Science China Life Sciences.
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.