Guiping Wan

487 citations
30 papers · 351 · h-index 10

Impact in

Papers in

Guiping Wan

27 papers receiving 343 citations

Peers

Guiping Wan
Comparison fields: 5 of 49
  • Reproductive Medicine 124
  • Obstetrics and Gynecology 70
  • Cancer Research 67
  • Immunology 48
  • Molecular Biology 111
Replace Shuyu Wang with:
Shuyu Wang China
Klaudia Klicka Poland
Ouping Huang China
Gen Zou China
Katherine V. Clark-Knowles Canada
C.M.G. Thomas Netherlands
Yuanxi Zhu China
Xuan Pei China
Huiyan Cheng China
Abdulkhaliq Alsaadi United Kingdom
Guiping Wan relative to Shuyu Wang China Shuyu Wang's profile →
Citations per field
00.5×3.7×
Shuyu Wang · 1×
Citations per year

Countries citing papers authored by Guiping Wan

Since Specialization
Citations

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

Fields of papers citing papers by Guiping Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201973
2 201446
3 202134
4 201131
5 201327
6 201917
7 201817
8 201512
9 202311
10 201310
11 20229
12 20138
13 20168
14 20137
15 20246
16 20245
17 20255
18 20244
19
[Effects of miR-135a on HOXA10 expression, proliferation and apoptosis of ovarian cancer cells].
20134
20 20254

About Guiping Wan

Guiping Wan is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Molecular Biology, Immunology and Rheumatology, having authored 30 papers that have together received 351 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (15 papers), Uterine Myomas and Treatments (4 papers), Reproductive System and Pregnancy (4 papers), Moyamoya disease diagnosis and treatment (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers), MicroRNA in disease regulation (2 papers) and Neurological Complications and Syndromes (1 paper). The work is most often cited by research in Reproductive Medicine (124 citations), Obstetrics and Gynecology (70 citations), Cancer Research (67 citations), Immunology (48 citations) and Molecular Biology (111 citations). Guiping Wan has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Xiaodong Han, Yabing Chen, Tao Gui, Xiaoming Yao, Peng Cao, Jing Wang, Huixian Chen, Jiaming Zhang, Weiwei Tang and Shuxia Wang. Their work appears in journals such as Journal of Ethnopharmacology, Reproductive Sciences, Journal of Cerebral Blood Flow & Metabolism, Fertility and Sterility and Gene.

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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