Xiaoke Wu

882 citations
41 papers · 599 · h-index 11

Impact in

Papers in

Xiaoke Wu

39 papers receiving 582 citations

Peers

Xiaoke Wu
Comparison fields: 5 of 90
  • Reproductive Medicine 210
  • Toxicology 25
  • Infectious Diseases 97
  • Public Health, Environmental and Occupational Health 98
  • Complementary and alternative medicine 23
Replace Abu Sufiyan Chhipa with:
Abu Sufiyan Chhipa India
Pasi Koskimies Finland
Fateme Zare Iran
İlhan Onaran Türkiye
Bhaswati Banerjee India
Mudasar Nabi India
S Grover India
Daniela Cristina Vitale Italy
Nurinnisa Öztürk Türkiye
Nguyen Thanh Van United States
Xiaoke Wu relative to Abu Sufiyan Chhipa India Abu Sufiyan Chhipa's profile →
Citations per field
00.5×10×20×27×
Abu Sufiyan Chhipa · 1×
Citations per year

Countries citing papers authored by Xiaoke Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoke Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020112
2 2015106
3 201399
4 201238
5
Immunohistochemical detection of glucose transporters class I subfamily in the mouse, rat and human testis.
200434
6 200830
7 201216
8 202014
9 202314
10 201012
11 202210
12 202210
13 202210
14 202210
15 20239
16 20239
17 20059
18
[Renin-angiotensin system: involvement in polycystic ovarian syndrome].
19976
19 20235
20 20175

About Xiaoke Wu

Xiaoke Wu is a scholar working on Reproductive Medicine, Complementary and alternative medicine, Molecular Biology, Public Health, Environmental and Occupational Health and Pharmacology, having authored 41 papers that have together received 599 indexed citations. Recurring topics across this work include Ovarian function and disorders (11 papers), Acupuncture Treatment Research Studies (6 papers), Reproductive Biology and Fertility (5 papers), Reproductive System and Pregnancy (4 papers), Healthcare and Venom Research (4 papers), Sperm and Testicular Function (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Traditional Chinese Medicine Studies (3 papers). The work is most often cited by research in Reproductive Medicine (210 citations), Toxicology (25 citations), Infectious Diseases (97 citations), Public Health, Environmental and Occupational Health (98 citations) and Complementary and alternative medicine (23 citations). Xiaoke Wu has collaborated with scholars based in China, Hong Kong and Sweden. Frequent co-authors include Yong Wang, Hui Yu, Yaoxian Wang, Long Yi, Yunxia Cao, Yanjie Xia, Qian Gao, Hongwei Wang, Zhiwei Huang and Chuangeng Chen. Their work appears in journals such as Fertility and Sterility, Signal Transduction and Targeted Therapy, Journal of Clinical Medicine, Frontiers in Endocrinology and Biomarker Research.

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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