Yu‐Che Ou

97 papers receiving 1.4k citations

Peers

Yu‐Che Ou
Comparison fields: 5 of 101
  • Obstetrics and Gynecology 328
  • Reproductive Medicine 267
  • Pediatrics, Perinatology and Child Health 263
  • Epidemiology 400
  • Cancer Research 172
Replace J.-L. Brun with:
J.-L. Brun France
Ole Erik Iversen Norway
Michael K. Bohlmann Germany
Iztok Takač Slovenia
Lise Grupe Larsen Denmark
P Cherchi Italy
Esra Kuşçu Türkiye
Giovanni Delli Carpini Italy
Russell R. Snyder United States
Ismail A. Al‐Badawi Saudi Arabia
Yu‐Che Ou relative to J.-L. Brun France J.-L. Brun's profile →
Citations per field
00.5×4.0×
J.-L. Brun · 1×
Citations per year

Countries citing papers authored by Yu‐Che Ou

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Che Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Che Ou. 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 Yu‐Che Ou. The network helps show where Yu‐Che Ou may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017112
2 201295
3 200567
4 201665
5 201555
6 201954
7 201549
8 201442
9 200335
10 201034
11 200332
12 201232
13 200531
14 200830
15 201630
16 201926
17 202226
18 201225
19 201124
20 202224

About Yu‐Che Ou

Yu‐Che Ou is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Surgery, Epidemiology and Cancer Research, having authored 108 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (35 papers), Endometrial and Cervical Cancer Treatments (32 papers), Intraperitoneal and Appendiceal Malignancies (13 papers), Cervical Cancer and HPV Research (13 papers), Carcinogens and Genotoxicity Assessment (8 papers), Toxic Organic Pollutants Impact (8 papers), Maternal and fetal healthcare (8 papers) and Endometriosis Research and Treatment (7 papers). The work is most often cited by research in Obstetrics and Gynecology (328 citations), Reproductive Medicine (267 citations), Pediatrics, Perinatology and Child Health (263 citations), Epidemiology (400 citations) and Cancer Research (172 citations). Yu‐Che Ou has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Hao Lin, Kuo‐Chung Lan, Hung‐Chun Fu, Chan‐Chao ChangChien, Chen‐Hsuan Wu, Fu‐Tsai Kung, Ching‐Chou Tsai, Yen-Ying Ma, Chih-Wen Tseng and Hung‐Cheng Lai. Their work appears in journals such as International Journal of Molecular Sciences, Gynecologic Oncology, Cancers, Journal of Minimally Invasive Gynecology and International Journal of Gynecological Pathology.

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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