Xiaoping Wan

6.6k citations
153 papers · 4.3k indexed · h-index 39

Impact in

Papers in

Xiaoping Wan

151 papers receiving 4.3k citations

Peers

Xiaoping Wan
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
Replace Hannes C. A. Drexler with:
Hannes C. A. Drexler Germany
Hua Pan United States
Ross D. Hannan Australia
Anja van de Stolpe Netherlands
Futoshi Shibasaki Japan
Hisakazu Ogita Japan
Shigehiko Mizutani Japan
Graham C. Parry United States
Eliza Vasile United States
Carlos D. Figueroa Chile
Xiaoping Wan relative to Hannes C. A. Drexler Germany Hannes C. A. Drexler's profile →
Citations per field
00.5×3.7×
Hannes C. A. Drexler · 1×
Citations per year

Countries citing papers authored by Xiaoping Wan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiaoping Wan Line = papers co-authored together Xiaoping Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018218
2 2003155
3 2019125
4 2005114
5 2017108
6 200898
7 200898
8 200797
9 201694
10 200992
11 201290
12 201889
13 201184
14 202080
15 201180
16 202072
17 202068
18 201367
19 201364
20 201262

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.

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