An Ouyang

405 citations
27 papers · 293 · h-index 10

Impact in

Papers in

An Ouyang

22 papers receiving 282 citations

Peers

An Ouyang
Comparison fields: 5 of 68
  • Molecular Medicine 39
  • Cardiology and Cardiovascular Medicine 118
  • Physiology 54
  • Biochemistry 8
  • Endocrinology, Diabetes and Metabolism 19
Replace Takayuki Matsuto with:
Takayuki Matsuto Japan
Dezhao Liu China
Liying Zhan China
Seyyed Mohammad Reza Parizadeh Iran
M Akbari Iran
Medhat Taha Saudi Arabia
Yingping Liang China
Patricia Blackburn Canada
Yangwen Ou China
Tingting Chen China
An Ouyang relative to Takayuki Matsuto Japan Takayuki Matsuto's profile →
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Countries citing papers authored by An Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by An Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201957
2 201546
3 201729
4 202326
5 201924
6 201916
7 201815
8 202214
9 202213
10 202412
11 20239
12 20177
13 20216
14 20246
15 20253
16 20222
17 20202
18
Polymorphism of the glycogen synthase gene and non-insulin-dependent diabetes mellitus in Chinese population.
19981
19 20231
20 20241

About An Ouyang

An Ouyang is a scholar working on Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology, Surgery, Psychiatry and Mental health and Molecular Medicine, having authored 27 papers that have together received 293 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (8 papers), Cardiovascular Health and Disease Prevention (6 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Cardiovascular Function and Risk Factors (3 papers), Obstructive Sleep Apnea Research (1 paper), Curcumin's Biomedical Applications (1 paper), Birth, Development, and Health (1 paper) and Thyroid and Parathyroid Surgery (1 paper). The work is most often cited by research in Molecular Medicine (39 citations), Cardiology and Cardiovascular Medicine (118 citations), Physiology (54 citations), Biochemistry (8 citations) and Endocrinology, Diabetes and Metabolism (19 citations). An Ouyang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Bradley Stephen Fleenor, Bing Du, Jason Samuel Eng, Marilyn S. Campbell, Richard J. Charnigo, Illathu Madhavamenon Krishnakumar, Philip M. Westgate, Craig A. Emter, T. Dylan Olver and Matthew P. Harber. Their work appears in journals such as Journal of Applied Physiology, Nature and Science of Sleep, Pharmacological Research, Frontiers in Neurology and Experimental Gerontology.

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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