Xiaoping Wan
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in ⓘ
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- Cancer-related molecular mechanisms research 18
- MicroRNA in disease regulation 16
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- Circular RNAs in diseases 9
- RNA Research and Splicing 7
- Epigenetics and DNA Methylation 3
- Receptor Mechanisms and Signaling 2
- Co-authors
- Te Liu (2 shared papers)Yinyan He (3 shared papers)Weiwei Cheng (1 shared paper)Hui Wang (1 shared paper)Yongtao Gao (1 shared paper)Yan Qin (4 shared papers)Xuelian Liu (1 shared paper)Bin Cai (2 shared papers)
- Journals
- Oncology Reports (2 papers)Medical Oncology (2 papers)Cell Communication and Signaling (2 papers)Cancer Cell International (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xiaoping Wan
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 661
- Molecular Biology 836
- Obstetrics and Gynecology 86
- Reproductive Medicine 76
- Oncology 173
Countries citing papers authored by Xiaoping Wan
This map shows the geographic impact of Xiaoping Wan'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 Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Wan more than expected).
Fields of papers citing papers by Xiaoping Wan
This network shows the impact of papers produced by Xiaoping Wan. 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 Wan. The network helps show where Xiaoping Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping Wan, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 201 | |
| 2 | 2009 | 139 | |
| 3 | 2011 | 102 | |
| 4 | 2015 | 76 | |
| 5 | 2018 | 72 | |
| 6 | 2013 | 59 | |
| 7 | 2017 | 57 | |
| 8 | 2017 | 56 | |
| 9 | 2013 | 56 | |
| 10 | 2013 | 45 | |
| 11 | 2015 | 44 | |
| 12 | 2021 | 43 | |
| 13 | 2013 | 32 | |
| 14 | 2018 | 28 | |
| 15 | 2019 | 27 | |
| 16 | 2019 | 23 | |
| 17 | 2016 | 22 | |
| 18 | 2020 | 22 | |
| 19 | 2018 | 18 | |
| 20 | 2019 | 17 |
About Xiaoping Wan
Xiaoping Wan is a scholar working on Cancer Research, Molecular Biology, Oncology, Genetics and Health, Toxicology and Mutagenesis, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (18 papers), MicroRNA in disease regulation (16 papers), Circular RNAs in diseases (9 papers), RNA Research and Splicing (7 papers), Cytokine Signaling Pathways and Interactions (3 papers), Epigenetics and DNA Methylation (3 papers), Estrogen and related hormone effects (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cancer Research (661 citations), Molecular Biology (836 citations), Obstetrics and Gynecology (86 citations), Reproductive Medicine (76 citations) and Oncology (173 citations). Xiaoping Wan has collaborated with scholars based in China, United States and France. Frequent co-authors include Te Liu, Yinyan He, Weiwei Cheng, Hui Wang, Yongtao Gao, Yan Qin, Xuelian Liu, Bin Cai, Yixia Yang and Feizhou Jiang. Their work appears in journals such as Oncology Reports, Medical Oncology, Cell Communication and Signaling, Cancer Cell International and Oncotarget.
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.