Ling Ouyang

1.2k citations
56 papers · 786 · 1 hit paper · h-index 16

Impact in

Papers in

Ling Ouyang

46 papers receiving 775 citations

Ling Ouyang's Hit Papers

Role of estrogen receptors in health and disease 2022 · 169 citations
1690+1+2Years since publication50100150

Peers

Ling Ouyang
Comparison fields: 5 of 111
  • Cancer Research 150
  • Obstetrics and Gynecology 68
  • Reproductive Medicine 69
  • Environmental Engineering 62
  • Molecular Biology 258
Replace Xiaoyong Li with:
Xiaoyong Li China
Min Jin China
Zhiwei Zhao China
Sheng Li China
Mei Yang China
Hirokazu Sato Japan
Liwen Zhang China
Shinya Koga Japan
Xiaoyu Long China
Min Ren China
Ling Ouyang relative to Xiaoyong Li China Xiaoyong Li's profile →
Citations per field
00.5×3.9×
Xiaoyong Li · 1×
Citations per year

Countries citing papers authored by Ling Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Ling Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Role of estrogen receptors in health and disease
Hit paper breakdown →
2022169
2 201991
3 202150
4 201942
5 201738
6 201735
7 202033
8 202126
9 201925
10 202024
11 201321
12 201818
13 201618
14 202217
15 202016
16 201716
17 202113
18 202013
19
Analysis of conservation effectiveness of wetland protected areas based on remote sensing in West Songnen Plain.
201511
20 202310

About Ling Ouyang

Ling Ouyang is a scholar working on Molecular Biology, Reproductive Medicine, Cancer Research, Surgery and Oncology, having authored 56 papers that have together received 786 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (7 papers), Cancer-related molecular mechanisms research (7 papers), Endometrial and Cervical Cancer Treatments (5 papers), Endometriosis Research and Treatment (4 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (3 papers), Ubiquitin and proteasome pathways (2 papers) and Urologic and reproductive health conditions (2 papers). The work is most often cited by research in Cancer Research (150 citations), Obstetrics and Gynecology (68 citations), Reproductive Medicine (69 citations), Environmental Engineering (62 citations) and Molecular Biology (258 citations). Ling Ouyang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bo Li, Peng Chen, Zixuan Song, Biao Sui, Yue Zhang, Haiou Shen, Kuiran Liu, Yizi Wang, Fang Ren and Yan Li. Their work appears in journals such as Frontiers in Oncology, Frontiers in Endocrinology, Oncotarget, Journal of Assisted Reproduction and Genetics and Frontiers in Pharmacology.

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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