Yaping Ye
Impact in
- Rheumatology top 2%
- Osteoarthritis Treatment and Mechanisms
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
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- MicroRNA in disease regulation 7
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- Tendon Structure and Treatment 5
- Co-authors
- Fengjing Guo (22 shared papers)Jiachao Guo (11 shared papers)Xudong Yao (8 shared papers)Xingzhi Jing (11 shared papers)Yanqing Ding (19 shared papers)Hong‐Li Jiao (19 shared papers)Kai Sun (7 shared papers)Wenting Liao (16 shared papers)
- Journals
- Cancer Cell International (4 papers)International Journal of Molecular Medicine (4 papers)Journal of Experimental & Clinical Cancer Research (4 papers)Cancer Letters (3 papers)Oncotarget (3 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Yaping Ye
73 papers receiving 2.6k citations
Yaping Ye's Hit Papers
Peers
Comparison fields: 5 of 100
- Rheumatology 461
- Cancer Research 420
- Orthopedics and Sports Medicine 128
- Molecular Biology 734
- Genetics 95
Countries citing papers authored by Yaping Ye
This map shows the geographic impact of Yaping Ye'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 Yaping Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaping Ye more than expected).
Fields of papers citing papers by Yaping Ye
This network shows the impact of papers produced by Yaping Ye. 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 Yaping Ye. The network helps show where Yaping Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaping Ye, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chondrocyte ferroptosis contribute to the progression of osteoarthritis Hit paper breakdown → | 2020 | 344 |
| 2 | 2020 | 157 | |
| 3 | 2018 | 111 | |
| 4 | 2018 | 106 | |
| 5 | 2013 | 105 | |
| 6 | 2020 | 85 | |
| 7 | 2016 | 83 | |
| 8 | Metastatic cancer stem cells: from the concept to therapeutics. | 2014 | 74 |
| 9 | 2019 | 68 | |
| 10 | 2019 | 67 | |
| 11 | 2012 | 66 | |
| 12 | 2020 | 60 | |
| 13 | 2020 | 58 | |
| 14 | 2015 | 57 | |
| 15 | 2018 | 55 | |
| 16 | 2023 | 55 | |
| 17 | 2018 | 50 | |
| 18 | 2017 | 43 | |
| 19 | 2017 | 43 | |
| 20 | 2020 | 43 |
About Yaping Ye
Yaping Ye is a scholar working on Cancer Research, Orthopedics and Sports Medicine, Oncology, Molecular Biology and Rheumatology, having authored 75 papers that have together received 2.6k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (8 papers), Mechanisms of cancer metastasis (7 papers), MicroRNA in disease regulation (7 papers), Cancer Cells and Metastasis (5 papers), Bone Metabolism and Diseases (5 papers), Tendon Structure and Treatment (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers) and Medicinal Plant Pharmacodynamics Research (4 papers). The work is most often cited by research in Rheumatology (461 citations), Cancer Research (420 citations), Orthopedics and Sports Medicine (128 citations), Molecular Biology (734 citations) and Genetics (95 citations). Yaping Ye has collaborated with scholars based in China and United States. Frequent co-authors include Fengjing Guo, Jiachao Guo, Xudong Yao, Xingzhi Jing, Yanqing Ding, Hong‐Li Jiao, Kai Sun, Wenting Liao, Genchun Wang and Jiamin Lin. Their work appears in journals such as Cancer Cell International, International Journal of Molecular Medicine, Journal of Experimental & Clinical Cancer Research, Cancer Letters and Oncotarget.
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.