Mudi Yao
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Ophthalmology top 2%
- Retinal Diseases and Treatments
Papers in
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- Circular RNAs in diseases 5
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- Retinal Diseases and Treatments 10
- Co-authors
- Biao Yan (17 shared papers)Qin Jiang (16 shared papers)K. Y. Shan (7 shared papers)Jin Yao (7 shared papers)Xiu‐Miao Li (11 shared papers)K.W. Yeung (8 shared papers)Yi Li (8 shared papers)X. Zhang (8 shared papers)
- Journals
- Textile Research Journal (5 papers)Journal of the Textile Institute (3 papers)Scientific Reports (2 papers)Biomedicine & Pharmacotherapy (2 papers)BioMed Research International (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Mudi Yao
36 papers receiving 1.4k citations
Mudi Yao's Hit Papers
Peers
Comparison fields: 5 of 106
- Cancer Research 716
- Ophthalmology 184
- Molecular Biology 889
- Polymers and Plastics 176
- Neurology 63
Countries citing papers authored by Mudi Yao
This map shows the geographic impact of Mudi Yao'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 Mudi Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mudi Yao more than expected).
Fields of papers citing papers by Mudi Yao
This network shows the impact of papers produced by Mudi Yao. 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 Mudi Yao. The network helps show where Mudi Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Mudi Yao, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 227 | |
| 2 | 2019 | 210 | |
| 3 | YY1 lactylation in microglia promotes angiogenesis through transcription activation-mediated upregulation of FGF2 Hit paper breakdown → | 2023 | 170 |
| 4 | 2016 | 145 | |
| 5 | 2020 | 135 | |
| 6 | 2016 | 102 | |
| 7 | 2018 | 64 | |
| 8 | 1999 | 38 | |
| 9 | 2022 | 33 | |
| 10 | 2000 | 31 | |
| 11 | 1999 | 26 | |
| 12 | 2007 | 26 | |
| 13 | 2002 | 23 | |
| 14 | 2000 | 23 | |
| 15 | 2021 | 22 | |
| 16 | 2000 | 21 | |
| 17 | 2018 | 19 | |
| 18 | 2022 | 16 | |
| 19 | 2023 | 15 | |
| 20 | 2022 | 15 |
About Mudi Yao
Mudi Yao is a scholar working on Molecular Biology, Ophthalmology, Cancer Research, Polymers and Plastics and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (10 papers), Cancer-related molecular mechanisms research (9 papers), Textile materials and evaluations (8 papers), MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers), Retinal Imaging and Analysis (5 papers), Mechanical Behavior of Composites (5 papers) and Structural Analysis and Optimization (4 papers). The work is most often cited by research in Cancer Research (716 citations), Ophthalmology (184 citations), Molecular Biology (889 citations), Polymers and Plastics (176 citations) and Neurology (63 citations). Mudi Yao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Biao Yan, Qin Jiang, K. Y. Shan, Jin Yao, Xiu‐Miao Li, K.W. Yeung, Yi Li, X. Zhang, Chang Liu and Jiajian Wang. Their work appears in journals such as Textile Research Journal, Journal of the Textile Institute, Scientific Reports, Biomedicine & Pharmacotherapy and BioMed Research International.
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.