Xiaoyun Wan

1.5k citations
44 papers · 1.1k indexed · h-index 18
Topics
Gestational Trophoblastic Disease Studies (10 papers)Cancer-related molecular mechanisms research (9 papers)Endometrial and Cervical Cancer Treatments (8 papers)
Partner nations
ChinaJapanMadagascar

In The Last Decade

Xiaoyun Wan

41 papers receiving 1.1k citations

Peers

Xiaoyun Wan
Comparison fields: 5 of 88
  • Molecular Biology 639
  • Cancer Research 503
  • Epidemiology 160
  • Obstetrics and Gynecology 118
  • Oncology 113
Replace Bo Wook Kim with:
Bo Wook Kim South Korea
Aggeliki Kοlialexi Greece
Huijuan Ge China
Paola De Sanctis Italy
Rhona J. McVey United Kingdom
Sang Geun Jung South Korea
Aaron Orozco United States
Xiaobing Niu China
Shay Hantisteanu Israel
H. Caffier Germany
Xiaoyun Wan relative to Bo Wook Kim South Korea Bo Wook Kim's profile →
Citations per field
00.5×4.1×
Bo Wook Kim · 1×
Citations per year

Countries citing papers authored by Xiaoyun Wan

Since Specialization
Citations

This map shows the geographic impact of Xiaoyun 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 Xiaoyun Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyun Wan more than expected).

Fields of papers citing papers by Xiaoyun Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoyun 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 Xiaoyun Wan. The network helps show where Xiaoyun Wan may publish in the future.

Co-authorship network of co-authors of Xiaoyun Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyun Wan. A scholar is included among the top collaborators of Xiaoyun Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoyun Wan. Xiaoyun Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 5
4 22
5 5
6 38
7 4
8
[Reliability and Validity of the Jefferson Scale of Physician Empathy in Chinese Medical Students].
10
9 61
10 17
11 11
12 177
13 169
14 9
15 31
16 1
17 1
18 40
19
[Case report and literature review of epithelioid trophoblastic tumor].
1
20 4

About Xiaoyun Wan

Xiaoyun Wan is a scholar working on Obstetrics and Gynecology, Cancer Research and Reproductive Medicine, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gestational Trophoblastic Disease Studies (10 papers), Cancer-related molecular mechanisms research (9 papers) and Endometrial and Cervical Cancer Treatments (8 papers). The work is most often cited by research in Cancer Research (503 citations), Obstetrics and Gynecology (118 citations) and Reproductive Medicine (83 citations). Xiaoyun Wan has collaborated with scholars based in China, Japan and Madagascar. Frequent co-authors include Xing Xie, Weiguo Lü, Yuanming Shen, Feng Ye, Fenfen Wang, Junfen Xu, Jiansong Zhou, Xiaodong Cheng, Weiguo Lv and Yang Li. Their work appears in journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Scientific Reports.

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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