Xiaoping Chen
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Developmental Neuroscience top 5%
Papers in ⓘ
- Hepatology 14
- Hepatocellular Carcinoma Treatment and Prognosis 7
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- MicroRNA in disease regulation 11
- Cancer, Hypoxia, and Metabolism 8
- Cancer-related molecular mechanisms research 7
- Co-authors
- Jane Y. Wu (14 shared papers)Kazuo Fushimi (7 shared papers)Tao Zhou (1 shared paper)Ping Han (1 shared paper)Xuejiang Guo (1 shared paper)Xiaofeng Song (1 shared paper)Yan Li (1 shared paper)Jianghong Liu (7 shared papers)
- Journals
- Protein & Cell (5 papers)PLoS ONE (3 papers)European Journal of Pharmacology (2 papers)BioMed Research International (2 papers)Drug Design Development and Therapy (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Xiaoping Chen
179 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 160
- Cancer Research 660
- Developmental Neuroscience 174
- Neurology 620
- Genetics 340
- Molecular Biology 1.9k
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 197 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 394 | |
| 2 | 2010 | 211 | |
| 3 | 2019 | 182 | |
| 4 | 2004 | 154 | |
| 5 | 2015 | 149 | |
| 6 | 2009 | 115 | |
| 7 | 2008 | 98 | |
| 8 | 2011 | 81 | |
| 9 | 2011 | 75 | |
| 10 | 2020 | 73 | |
| 11 | 2020 | 70 | |
| 12 | 2015 | 69 | |
| 13 | 2017 | 68 | |
| 14 | 2012 | 67 | |
| 15 | 2020 | 61 | |
| 16 | 2020 | 57 | |
| 17 | 2006 | 55 | |
| 18 | 2011 | 53 | |
| 19 | 2014 | 51 | |
| 20 | 2009 | 46 |
About Xiaoping Chen
Xiaoping Chen is a scholar working on Hepatology, Cancer Research, Metals and Alloys, Developmental Neuroscience and Transplantation, having authored 197 papers that have together received 3.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Circular RNAs in diseases (8 papers), Axon Guidance and Neuronal Signaling (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Peanut Plant Research Studies (7 papers), Cancer-related molecular mechanisms research (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Nerve injury and regeneration (6 papers). The work is most often cited by research in Cancer Research (660 citations), Developmental Neuroscience (174 citations), Neurology (620 citations), Genetics (340 citations) and Molecular Biology (1.9k citations). Xiaoping Chen has collaborated with scholars based in China, United States and India. Frequent co-authors include Jane Y. Wu, Kazuo Fushimi, Tao Zhou, Ping Han, Xuejiang Guo, Xiaofeng Song, Yan Li, Jianghong Liu, Li Zhu and Jianwen Deng. Their work appears in journals such as Protein & Cell, PLoS ONE, European Journal of Pharmacology, BioMed Research International and Drug Design Development and Therapy.
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.