Xiaoyun Wan

1.5k citations
44 papers · 1.1k · h-index 18

Impact in

Papers in

Xiaoyun Wan

42 papers receiving 1.1k citations

Peers

Xiaoyun Wan
Comparison fields: 5 of 79
  • Cancer Research 439
  • Obstetrics and Gynecology 96
  • Molecular Biology 552
  • Reproductive Medicine 58
  • Epidemiology 147
Replace Lingmin Hu with:
Lingmin Hu China
Jean Michel Bidart France
Bo Wook Kim South Korea
Mohammad Shekari Iran
Sonia T. Chelbi France
Phillip Koeffler United States
Yoko Hasumi Japan
H. Caffier Germany
Ana Marı́a Espinosa Mexico
Shay Hantisteanu Israel
Xiaoyun Wan relative to Lingmin Hu China Lingmin Hu's profile →
Citations per field
00.5×2.7×
Lingmin Hu · 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-authors

The 25 scholars most cited alongside Xiaoyun 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 Xiaoyun Wan Line = papers co-authored together Xiaoyun Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011181
2 2011176
3
Attenuation of telomerase activity by a hammerhead ribozyme targeting the template region of telomerase RNA in endometrial carcinoma cells.
199883
4 201463
5 201160
6 201455
7 200048
8 200941
9 201639
10 200737
11 200736
12 200934
13 201533
14 200932
15 201031
16 201725
17 202020
18 201417
19 202215
20 200815

About Xiaoyun Wan

Xiaoyun Wan is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Cancer Research, Obstetrics and Gynecology and Oceanography, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gestational Trophoblastic Disease Studies (8 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers), Endometrial and Cervical Cancer Treatments (4 papers), RNA Interference and Gene Delivery (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Circular RNAs in diseases (3 papers) and Cervical Cancer and HPV Research (3 papers). The work is most often cited by research in Cancer Research (439 citations), Obstetrics and Gynecology (96 citations), Molecular Biology (552 citations), Reproductive Medicine (58 citations) and Epidemiology (147 citations). Xiaoyun Wan has collaborated with scholars based in China, Japan and United States. 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 BMC Cancer, International Journal of Gynecology & Obstetrics, Medical Oncology, PLoS ONE and Journal of Lower Genital Tract Disease.

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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