Mi Yang
Impact in
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- Bone health and osteoporosis research
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
Papers in
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- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 5
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- Bone Metabolism and Diseases 6
- Extracellular vesicles in disease 5
- RNA Research and Splicing 3
- Circular RNAs in diseases 3
- Co-authors
- Xiang‐Hang Luo (17 shared papers)Changjun Li (15 shared papers)Ye Xiao (13 shared papers)Tian Su (12 shared papers)Qi Guo (10 shared papers)Jing Hou (6 shared papers)Chen He (6 shared papers)Hui Peng (6 shared papers)
- Journals
- Cell Metabolism (4 papers)Journal of Clinical Investigation (3 papers)Frontiers in Cell and Developmental Biology (3 papers)Cell Proliferation (3 papers)Bone Research (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Mi Yang
37 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 102
- Orthopedics and Sports Medicine 218
- Rheumatology 363
- Cancer Research 335
- Aging 27
- Physiology 346
Countries citing papers authored by Mi Yang
This map shows the geographic impact of Mi 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 Mi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Yang more than expected).
Fields of papers citing papers by Mi Yang
This network shows the impact of papers produced by Mi 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 Mi Yang. The network helps show where Mi Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 354 | |
| 2 | 2019 | 261 | |
| 3 | 2018 | 184 | |
| 4 | 2017 | 178 | |
| 5 | 2021 | 142 | |
| 6 | 2020 | 111 | |
| 7 | 2020 | 101 | |
| 8 | 2020 | 100 | |
| 9 | 2020 | 96 | |
| 10 | 2020 | 92 | |
| 11 | 2022 | 82 | |
| 12 | 2021 | 66 | |
| 13 | 2024 | 66 | |
| 14 | 2023 | 60 | |
| 15 | 2019 | 57 | |
| 16 | 2019 | 53 | |
| 17 | 2019 | 50 | |
| 18 | 2020 | 43 | |
| 19 | 2024 | 28 | |
| 20 | 2022 | 24 |
About Mi Yang
Mi Yang is a scholar working on Cancer Research, Molecular Biology, Physiology, Endocrine and Autonomic Systems and Immunology, having authored 38 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Bone Metabolism and Diseases (6 papers), Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (5 papers), Immune cells in cancer (4 papers), Inflammatory mediators and NSAID effects (3 papers), RNA Research and Splicing (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (218 citations), Rheumatology (363 citations), Cancer Research (335 citations), Aging (27 citations) and Physiology (346 citations). Mi Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiang‐Hang Luo, Changjun Li, Ye Xiao, Tian Su, Qi Guo, Jing Hou, Chen He, Hui Peng, Xi Hong Sun and Mei Huang. Their work appears in journals such as Cell Metabolism, Journal of Clinical Investigation, Frontiers in Cell and Developmental Biology, Cell Proliferation and Bone Research.
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.