Qing Ouyang

1.1k citations
43 papers · 681 · h-index 18

Impact in

Papers in

    • Fibroblast Growth Factor Research 3
    • RNA regulation and disease 3
    • Kruppel-like factors research 2
    • Cellular transport and secretion 3

Qing Ouyang

41 papers receiving 678 citations

Peers

Qing Ouyang
Comparison fields: 5 of 92
  • Physiology 41
  • Cell Biology 87
  • Nephrology 35
  • Cellular and Molecular Neuroscience 88
  • Developmental Neuroscience 18
Replace Cody A. Desjardins with:
Cody A. Desjardins United States
Ying Yuan China
Michael J. Munson Sweden
Daniele Piccini Italy
Inês S. Alencastre Portugal
Abu Ahmed United States
Stacey Hose United States
Zai‐Long Chi China
Kazutaka Sumita Japan
Qing Ouyang relative to Cody A. Desjardins United States Cody A. Desjardins's profile →
Citations per field
00.5×2.6×
Cody A. Desjardins · 1×
Citations per year

Countries citing papers authored by Qing Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Qing Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013110
2 202260
3 200137
4 201134
5 201332
6 201129
7 201727
8 202325
9 202024
10 202222
11 202121
12 202121
13 201520
14 202120
15 201720
16 200719
17 202418
18 201118
19 201815
20 202014

About Qing Ouyang

Qing Ouyang is a scholar working on Molecular Biology, Cell Biology, Immunology, Nephrology and Epidemiology, having authored 43 papers that have together received 681 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Cellular transport and secretion (3 papers), Fibroblast Growth Factor Research (3 papers), RNA regulation and disease (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Kruppel-like factors research (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Physiology (41 citations), Cell Biology (87 citations), Nephrology (35 citations), Cellular and Molecular Neuroscience (88 citations) and Developmental Neuroscience (18 citations). Qing Ouyang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Eric M. Morrow, M Schmidt, Sofia B. Lizarraga, Jingyi Gong, Julie A. Kauer, Xiangmei Chen, Ece D. Gamsiz Uzun, Zhenghua Xiang, Lingling Wu and Hongbin Yuan. Their work appears in journals such as Cell Proliferation, eNeuro, Biomaterials, Pain Medicine and Journal of Interferon & Cytokine 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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