Mao Ouyang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- S100 Proteins and Annexins 2
- Circular RNAs in diseases 1
- Co-authors
- Shenming Wang (4 shared papers)Guangqi Chang (4 shared papers)Jieyi Ma (4 shared papers)Behnam Badie (4 shared papers)Leying Zhang (4 shared papers)Weiming Lv (2 shared papers)Xuebo Chen (3 shared papers)Wenjian Wang (3 shared papers)
- Journals
- PLoS ONE (3 papers)BMC Cancer (2 papers)BMC Cardiovascular Disorders (1 paper)Clinical Cancer Research (1 paper)Expert Opinion on Drug Safety (1 paper)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Mao Ouyang
21 papers receiving 681 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 250
- Neurology 84
- Genetics 85
- Immunology 152
- Clinical Biochemistry 39
Countries citing papers authored by Mao Ouyang
This map shows the geographic impact of Mao 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 Mao Ouyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mao Ouyang more than expected).
Fields of papers citing papers by Mao Ouyang
This network shows the impact of papers produced by Mao 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 Mao Ouyang. The network helps show where Mao Ouyang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mao Ouyang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 163 | |
| 2 | 2014 | 133 | |
| 3 | 2017 | 94 | |
| 4 | 2013 | 79 | |
| 5 | 2016 | 42 | |
| 6 | 2016 | 33 | |
| 7 | 2020 | 27 | |
| 8 | 2015 | 22 | |
| 9 | 2015 | 19 | |
| 10 | Changes in the intestinal microecology induced by bacillus subtilis inhibit the occurrence of ulcerative colitis and associated cancers: a study on the mechanisms. | 2019 | 16 |
| 11 | PAI-1 4G/5G polymorphism and coronary artery disease risk: a meta-analysis. | 2015 | 15 |
| 12 | 2014 | 13 | |
| 13 | 2020 | 7 | |
| 14 | 2010 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2018 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2015 | 1 |
About Mao Ouyang
Mao Ouyang is a scholar working on Molecular Biology, Hematology, Immunology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 687 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (2 papers), S100 Proteins and Annexins (2 papers), Immune cells in cancer (2 papers), Autophagy in Disease and Therapy (2 papers), Folate and B Vitamins Research (1 paper), Nanoparticle-Based Drug Delivery (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Cancer Research (250 citations), Neurology (84 citations), Genetics (85 citations), Immunology (152 citations) and Clinical Biochemistry (39 citations). Mao Ouyang has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Shenming Wang, Guangqi Chang, Jieyi Ma, Behnam Badie, Leying Zhang, Weiming Lv, Xuebo Chen, Wenjian Wang, Shihua Wu and Huaqing Wang. Their work appears in journals such as PLoS ONE, BMC Cancer, BMC Cardiovascular Disorders, Clinical Cancer Research and Expert Opinion on Drug Safety.
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.