Yuemei Yang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Complement system in diseases
Papers in
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- Circular RNAs in diseases 3
- RNA modifications and cancer 3
- Connective Tissue Growth Factor Research 2
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- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 2
- Co-authors
- Weiliang Ye (2 shared papers)Xin Yao (2 shared papers)Ian M. Adcock (2 shared papers)Xiaoling Zhao (2 shared papers)Zhihong Wu (1 shared paper)Xiaoou Li (3 shared papers)Yu Xiao (3 shared papers)Wenze Wang (3 shared papers)
- Journals
- Journal of Cellular Biochemistry (3 papers)DNA and Cell Biology (2 papers)Cell Communication and Signaling (2 papers)Journal of Pharmaceutical Sciences (1 paper)Spine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yuemei Yang
23 papers receiving 300 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 115
- Immunology 63
- Molecular Biology 167
- Rheumatology 34
- Oncology 42
Countries citing papers authored by Yuemei Yang
This map shows the geographic impact of Yuemei Yang'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 Yuemei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuemei Yang more than expected).
Fields of papers citing papers by Yuemei Yang
This network shows the impact of papers produced by Yuemei Yang. 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 Yuemei Yang. The network helps show where Yuemei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuemei Yang, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 39 | |
| 2 | 2010 | 36 | |
| 3 | 2021 | 29 | |
| 4 | 2018 | 26 | |
| 5 | 2023 | 24 | |
| 6 | 2019 | 20 | |
| 7 | 2015 | 19 | |
| 8 | 2019 | 17 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2021 | 9 | |
| 14 | Genome-wide expression and methylation profiling reveal candidate genes in osteoarthritis. | 2018 | 7 |
| 15 | 2025 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2018 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2020 | 2 |
About Yuemei Yang
Yuemei Yang is a scholar working on Molecular Biology, Cancer Research, Immunology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 303 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (2 papers), Mesenchymal stem cell research (2 papers), Systemic Sclerosis and Related Diseases (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Connective Tissue Growth Factor Research (2 papers). The work is most often cited by research in Cancer Research (115 citations), Immunology (63 citations), Molecular Biology (167 citations), Rheumatology (34 citations) and Oncology (42 citations). Yuemei Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Weiliang Ye, Xin Yao, Ian M. Adcock, Xiaoling Zhao, Zhihong Wu, Xiaoou Li, Xiaoling Zhao, Yu Xiao, Wenze Wang and Xisheng Weng. Their work appears in journals such as Journal of Cellular Biochemistry, DNA and Cell Biology, Cell Communication and Signaling, Journal of Pharmaceutical Sciences and Spine.
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.