Nan Ouyang

482 citations
26 papers · 332 · h-index 12

Impact in

    • Parathyroid Disorders and Treatments
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • RNA modifications and cancer 7
    • Epigenetics and DNA Methylation 4
    • Circular RNAs in diseases 3
    • Advanced biosensing and bioanalysis techniques 2
    • Cancer-related molecular mechanisms research 7
    • MicroRNA in disease regulation 4

Nan Ouyang

25 papers receiving 331 citations

Peers

Nan Ouyang
Comparison fields: 5 of 73
  • Nephrology 40
  • Cancer Research 72
  • Molecular Biology 202
  • Biomedical Engineering 59
  • Biomaterials 17
Replace Kewei Xu with:
Kewei Xu China
Hongwang Cui China
Chenbei Li China
Rongfu Liu China
Justyna Niderla Poland
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Nan Ouyang relative to Kewei Xu China Kewei Xu's profile →
Citations per field
00.5×1.5×2.4×
Kewei Xu · 1×
Citations per year

Countries citing papers authored by Nan Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Nan Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202146
2 202141
3 202130
4 200625
5 201924
6 202119
7 201917
8 202416
9 202116
10 201514
11 202314
12 201813
13 202010
14 201910
15 20229
16 20238
17 20194
18 20214
19 20194
20
[Expression of FGF-b and C-myc in rats lung tissue affected by hypoxia].
19973

About Nan Ouyang

Nan Ouyang is a scholar working on Molecular Biology, Cancer Research, Materials Chemistry, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 332 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (7 papers), MicroRNA in disease regulation (4 papers), Nanoplatforms for cancer theranostics (4 papers), Epigenetics and DNA Methylation (4 papers), Circular RNAs in diseases (3 papers), Advanced Nanomaterials in Catalysis (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Nephrology (40 citations), Cancer Research (72 citations), Molecular Biology (202 citations), Biomedical Engineering (59 citations) and Biomaterials (17 citations). Nan Ouyang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Chao Zhou, Peng Miao, Jin Wang, Jianxiang Li, Xiongzhong Ruan, Jian Tong, Minxuan Sun, Yuguo Tang, Yiting Jiang and Tao Chen. Their work appears in journals such as Journal of Toxicology and Environmental Health, Advanced Science, ACS Applied Materials & Interfaces, Infection Genetics and Evolution and Chemical Communications.

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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