Xiaoping Wan
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Cardiac electrophysiology and arrhythmias
Papers in ⓘ
-
- Endometrial and Cervical Cancer Treatments 12
- Co-authors
- Kenneth R. Laurita (11 shared papers)David Rosenbaum (9 shared papers)Eckhard Ficker (12 shared papers)Yinyan He (8 shared papers)Isabelle Deschênes (18 shared papers)Shuangdi Li (13 shared papers)Qi Che (13 shared papers)Fangyuan Wang (11 shared papers)
- Journals
- PLoS ONE (7 papers)Oncology Reports (4 papers)Cancer Letters (3 papers)BMC Cancer (3 papers)Oncogene (3 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Xiaoping Wan
151 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 135
- Cancer Research 949
- Cardiology and Cardiovascular Medicine 1.1k
- Molecular Biology 2.8k
- Obstetrics and Gynecology 295
- Reproductive Medicine 293
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 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 218 | |
| 2 | 2003 | 155 | |
| 3 | 2019 | 125 | |
| 4 | 2005 | 114 | |
| 5 | 2017 | 108 | |
| 6 | 2008 | 98 | |
| 7 | 2008 | 98 | |
| 8 | 2007 | 97 | |
| 9 | 2016 | 94 | |
| 10 | 2009 | 92 | |
| 11 | 2012 | 90 | |
| 12 | 2018 | 89 | |
| 13 | 2011 | 84 | |
| 14 | 2020 | 80 | |
| 15 | 2011 | 80 | |
| 16 | 2020 | 72 | |
| 17 | 2020 | 68 | |
| 18 | 2013 | 67 | |
| 19 | 2013 | 64 | |
| 20 | 2012 | 62 |
About Xiaoping Wan
Xiaoping Wan is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 153 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (26 papers), Ion channel regulation and function (20 papers), Endometrial and Cervical Cancer Treatments (12 papers), Epigenetics and DNA Methylation (10 papers), CRISPR and Genetic Engineering (9 papers), Cancer Cells and Metastasis (9 papers), Estrogen and related hormone effects (8 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Cancer Research (949 citations), Cardiology and Cardiovascular Medicine (1.1k citations), Molecular Biology (2.8k citations), Obstetrics and Gynecology (295 citations) and Reproductive Medicine (293 citations). Xiaoping Wan has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Kenneth R. Laurita, David Rosenbaum, Eckhard Ficker, Yinyan He, Isabelle Deschênes, Shuangdi Li, Qi Che, Fangyuan Wang, Yun Liao and Bilan Li. Their work appears in journals such as PLoS ONE, Oncology Reports, Cancer Letters, BMC Cancer and Oncogene.
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.