Xiaoping Wan
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
Papers in
-
- MicroRNA in disease regulation 11
- Cancer, Hypoxia, and Metabolism 2
- Cancer-related molecular mechanisms research 2
- Protease and Inhibitor Mechanisms 1
-
- Endometrial and Cervical Cancer Treatments 6
- Co-authors
- 刘特 (2 shared papers)Yinyan He (3 shared papers)Hui Wang (1 shared paper)Weiwei Cheng (1 shared paper)Yongtao Gao (1 shared paper)Yan Qin (4 shared papers)Yixia Yang (2 shared papers)Bin Cai (1 shared paper)
- Journals
- Medical Oncology (2 papers)Oncotarget (2 papers)Cancer Cell International (2 papers)Oncology Reports (2 papers)Cell Communication and Signaling (2 papers)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Xiaoping Wan
27 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 65
- Cancer Research 590
- Obstetrics and Gynecology 65
- Oncology 131
- Reproductive Medicine 47
- Molecular Biology 282
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 208 | |
| 2 | 2009 | 142 | |
| 3 | 2011 | 105 | |
| 4 | 2018 | 83 | |
| 5 | 2015 | 80 | |
| 6 | 2013 | 60 | |
| 7 | 2013 | 59 | |
| 8 | 2017 | 59 | |
| 9 | 2015 | 50 | |
| 10 | 2021 | 49 | |
| 11 | 2013 | 46 | |
| 12 | 2013 | 32 | |
| 13 | 2019 | 30 | |
| 14 | 2018 | 28 | |
| 15 | 2019 | 26 | |
| 16 | 2020 | 25 | |
| 17 | 2016 | 23 | |
| 18 | 2018 | 19 | |
| 19 | 2019 | 19 | |
| 20 | 2020 | 16 |
About Xiaoping Wan
Xiaoping Wan is a scholar working on Cancer Research, Obstetrics and Gynecology, Genetics, Molecular Biology and Oncology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Endometrial and Cervical Cancer Treatments (6 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Estrogen and related hormone effects (2 papers), Cancer-related molecular mechanisms research (2 papers), Epigenetics and DNA Methylation (1 paper) and Protease and Inhibitor Mechanisms (1 paper). The work is most often cited by research in Cancer Research (590 citations), Obstetrics and Gynecology (65 citations), Oncology (131 citations), Reproductive Medicine (47 citations) and Molecular Biology (282 citations). Xiaoping Wan has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include 刘特, Yinyan He, Hui Wang, Weiwei Cheng, Yongtao Gao, Yan Qin, Yixia Yang, Bin Cai, Tingting Yang and Wen Lu. Their work appears in journals such as Medical Oncology, Oncotarget, Cancer Cell International, Oncology Reports and Cell Communication and Signaling.
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.