Yute Yang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
Papers in
-
- Bone and Joint Diseases 5
-
- MicroRNA in disease regulation 5
- Co-authors
- Shuying Shen (8 shared papers)Shunwu Fan (5 shared papers)Panyang Shen (5 shared papers)Ziang Xie (3 shared papers)Peihua Shi (2 shared papers)Junxin Chen (2 shared papers)Yizheng Wu (2 shared papers)Xiangqian Fang (5 shared papers)
- Journals
- Frontiers in Pharmacology (3 papers)Theranostics (2 papers)Frontiers in Cell and Developmental Biology (2 papers)Annals of the Rheumatic Diseases (2 papers)Journal of Orthopaedic Research® (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yute Yang
27 papers receiving 944 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 358
- Rheumatology 204
- Molecular Biology 601
- Orthopedics and Sports Medicine 52
- Oncology 68
Countries citing papers authored by Yute Yang
This map shows the geographic impact of Yute 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 Yute Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yute Yang more than expected).
Fields of papers citing papers by Yute Yang
This network shows the impact of papers produced by Yute 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 Yute Yang. The network helps show where Yute Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yute 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 232 | |
| 2 | 2019 | 116 | |
| 3 | 2021 | 83 | |
| 4 | 2018 | 70 | |
| 5 | 2020 | 68 | |
| 6 | 2020 | 58 | |
| 7 | 2023 | 41 | |
| 8 | 2021 | 30 | |
| 9 | 2017 | 27 | |
| 10 | 2018 | 27 | |
| 11 | 2023 | 24 | |
| 12 | 2018 | 23 | |
| 13 | Low-intensity pulsed ultrasound inhibits RANKL-induced osteoclast formation via modulating ERK-c-Fos-NFATc1 signaling cascades. | 2018 | 21 |
| 14 | 2021 | 20 | |
| 15 | 2018 | 18 | |
| 16 | 2018 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2018 | 11 |
About Yute Yang
Yute Yang is a scholar working on Orthopedics and Sports Medicine, Cancer Research, Molecular Biology, Rheumatology and Surgery, having authored 28 papers that have together received 955 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (7 papers), Circular RNAs in diseases (5 papers), Bone and Joint Diseases (5 papers), Extracellular vesicles in disease (5 papers), Orthopaedic implants and arthroplasty (5 papers), MicroRNA in disease regulation (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and Bone health and treatments (4 papers). The work is most often cited by research in Cancer Research (358 citations), Rheumatology (204 citations), Molecular Biology (601 citations), Orthopedics and Sports Medicine (52 citations) and Oncology (68 citations). Yute Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shuying Shen, Shunwu Fan, Panyang Shen, Ziang Xie, Peihua Shi, Junxin Chen, Yizheng Wu, Xiangqian Fang, Yan Ma and Gangliang Wang. Their work appears in journals such as Frontiers in Pharmacology, Theranostics, Frontiers in Cell and Developmental Biology, Annals of the Rheumatic Diseases and Journal of Orthopaedic 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.