Yingchen Wu

569 citations
22 papers · 428 · h-index 12

Impact in

Papers in

Yingchen Wu

22 papers receiving 424 citations

Peers

Yingchen Wu
Comparison fields: 5 of 79
  • Reproductive Medicine 134
  • Obstetrics and Gynecology 47
  • Molecular Medicine 23
  • Animal Science and Zoology 48
  • Endocrinology 17
Replace T. Rotkiewicz with:
T. Rotkiewicz Poland
Hossam El‐Sheikh Ali Egypt
Amr Wahba Egypt
Pankaj Deka India
Nasrollah Ahmadi Iran
Edward C. Segerson United States
N Futamura Japan
Piotr Brodzki Poland
Emmanouil Kalaitzakis Greece
Sherief El‐Shazly Kuwait
Yingchen Wu relative to T. Rotkiewicz Poland T. Rotkiewicz's profile →
Citations per field
00.5×7.8×
T. Rotkiewicz · 1×
Citations per year

Countries citing papers authored by Yingchen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yingchen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201769
2 201663
3 202338
4 202136
5 201632
6 201529
7 202125
8 201422
9 202222
10 201720
11 201619
12 202115
13 20237
14 20176
15 20225
16 20155
17 20234
18 20163
19 20243
20
[Investigation of the change of adiponectin level with menopause status in middle aged women and its relationship with androgen].
20152

About Yingchen Wu

Yingchen Wu is a scholar working on Reproductive Medicine, Molecular Medicine, Endocrinology, Food Science and Molecular Biology, having authored 22 papers that have together received 428 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (5 papers), Antibiotic Resistance in Bacteria (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Escherichia coli research studies (4 papers), Viral gastroenteritis research and epidemiology (2 papers), Congenital Diaphragmatic Hernia Studies (2 papers), Ubiquitin and proteasome pathways (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Reproductive Medicine (134 citations), Obstetrics and Gynecology (47 citations), Molecular Medicine (23 citations), Animal Science and Zoology (48 citations) and Endocrinology (17 citations). Yingchen Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Ter-Hsin Chen, Meiqing Xie, Guangzheng Zhong, Shengfu Chen, Qingxue Zhang, Yuchi Liu, Fa‐Jui Tan, Dehua Liao, Chih‐Jung Kuo and Jianyun Huang. Their work appears in journals such as Frontiers in Endocrinology, Veterinary Microbiology, Frontiers in Genetics, Microbial Drug Resistance and Journal of Medical Microbiology.

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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