Xiaoke Wu

837 citations
40 papers · 583 · h-index 11

Impact in

Papers in

Xiaoke Wu

39 papers receiving 567 citations

Peers

Xiaoke Wu
Comparison fields: 5 of 92
  • Reproductive Medicine 230
  • Toxicology 27
  • Infectious Diseases 112
  • Public Health, Environmental and Occupational Health 137
  • Endocrinology, Diabetes and Metabolism 67
Replace Yongwei Wang with:
Yongwei Wang China
Hye In Kim South Korea
Yu-An Hsu Taiwan
Abu Sufiyan Chhipa India
Daniela Cristina Vitale Italy
İlhan Onaran Türkiye
Mudasar Nabi India
Pasi Koskimies Finland
Bhaswati Banerjee India
Antonio J. Ruiz‐Alcaraz Spain
Xiaoke Wu relative to Yongwei Wang China Yongwei Wang's profile →
Citations per field
00.5×5.9×
Yongwei Wang · 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020111
2 2015104
3 201397
4 201238
5
Immunohistochemical detection of glucose transporters class I subfamily in the mouse, rat and human testis.
200433
6 200829
7 201215
8 202314
9 202014
10 201012
11 202210
12 202210
13 20059
14 20229
15 20229
16 20237
17 20237
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, Molecular Biology, Complementary and alternative medicine, Public Health, Environmental and Occupational Health and Pharmacology, having authored 40 papers that have together received 583 indexed citations. Recurring topics across this work include Ovarian function and disorders (14 papers), Reproductive Biology and Fertility (7 papers), Acupuncture Treatment Research Studies (6 papers), Healthcare and Venom Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Traditional Chinese Medicine Studies (4 papers), Reproductive System and Pregnancy (4 papers) and Complementary and Alternative Medicine Studies (3 papers). The work is most often cited by research in Reproductive Medicine (230 citations), Toxicology (27 citations), Infectious Diseases (112 citations), Public Health, Environmental and Occupational Health (137 citations) and Endocrinology, Diabetes and Metabolism (67 citations). Xiaoke Wu has collaborated with scholars based in China, Hong Kong and Sweden. Frequent co-authors include Yong Wang, Hui Yu, Yanqin Liu, Yunyan Zhang, Yaoxian Wang, Yunxia Cao, Long Yi, Qian Gao, Yanjie Xia and Hongwei Wang. Their work appears in journals such as Journal of Clinical Medicine, Frontiers in Endocrinology, Signal Transduction and Targeted Therapy, Fertility and Sterility and Systems Biology in Reproductive Medicine.

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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