Xiaoping Wan

6.7k citations
149 papers · 4.4k · h-index 39

Impact in

Papers in

Xiaoping Wan

148 papers receiving 4.4k citations

Peers

Xiaoping Wan
Comparison fields: 5 of 131
  • Cancer Research 785
  • Cardiology and Cardiovascular Medicine 1.1k
  • Molecular Biology 2.5k
  • Obstetrics and Gynecology 243
  • Reproductive Medicine 227
Replace Futoshi Shibasaki with:
Futoshi Shibasaki Japan
Ross D. Hannan Australia
Carlos D. Figueroa Chile
Hisakazu Ogita Japan
Anja van de Stolpe Netherlands
Asne R. Bauskin Australia
Eliza Vasile United States
Karol Bomsztyk United States
Zuoren Yu China
Anthony O. Gramolini Canada
Xiaoping Wan relative to Futoshi Shibasaki Japan Futoshi Shibasaki's profile →
Citations per field
00.5×6.9×
Futoshi Shibasaki · 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 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018220
2 2003156
3 2019128
4 2005115
5 2017111
6 200899
7 200898
8 200797
9 201896
10 201694
11 200993
12 201290
13 201184
14 202082
15 201180
16 202072
17 202072
18 201368
19 201365
20 201663

About Xiaoping Wan

Xiaoping Wan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Cancer Research and Genetics, having authored 149 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (23 papers), Ion channel regulation and function (14 papers), CRISPR and Genetic Engineering (9 papers), Estrogen and related hormone effects (8 papers), Pluripotent Stem Cells Research (8 papers), Cancer Cells and Metastasis (7 papers), Epigenetics and DNA Methylation (7 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Cancer Research (785 citations), Cardiology and Cardiovascular Medicine (1.1k citations), Molecular Biology (2.5k citations), Obstetrics and Gynecology (243 citations) and Reproductive Medicine (227 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, Qi Che, Shuangdi Li, Fangyuan Wang, Yun Liao and Bilan Li. Their work appears in journals such as PLoS ONE, Oncology Reports, Oncotarget, Biochemical and Biophysical Research Communications and eLife.

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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