Deye Song
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Circular RNAs in diseases
- RNA modifications and cancer
Papers in
-
- Circular RNAs in diseases 5
- Cancer-related gene regulation 3
- Wnt/β-catenin signaling in development and cancer 3
- Surgery 8
- Co-authors
- Muliang Ding (24 shared papers)Jun Huang (13 shared papers)Jiangdong Ni (25 shared papers)Mingming Yan (7 shared papers)Wenzhao Li (6 shared papers)Junjie Wang (10 shared papers)Ke Liu (2 shared papers)Jiangdong Ni (3 shared papers)
- Journals
- Scientific Reports (3 papers)Cell Cycle (2 papers)American Journal of Translational Research (1 paper)Journal of Investigative Medicine (1 paper)Archives of Biochemistry and Biophysics (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Deye Song
43 papers receiving 869 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 222
- Molecular Biology 391
- Rehabilitation 34
- Orthopedics and Sports Medicine 44
- Geriatrics and Gerontology 17
Countries citing papers authored by Deye Song
This map shows the geographic impact of Deye Song'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 Deye Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deye Song more than expected).
Fields of papers citing papers by Deye Song
This network shows the impact of papers produced by Deye Song. 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 Deye Song. The network helps show where Deye Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Deye Song, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 111 | |
| 2 | 2015 | 93 | |
| 3 | 2022 | 45 | |
| 4 | 2017 | 43 | |
| 5 | 2020 | 41 | |
| 6 | AMPK: implications in osteoarthritis and therapeutic targets. | 2020 | 41 |
| 7 | 2011 | 36 | |
| 8 | 2019 | 35 | |
| 9 | 2015 | 31 | |
| 10 | 2021 | 31 | |
| 11 | Activation of unfolded protein response protects osteosarcoma cells from cisplatin-induced apoptosis through NF-κB pathway. | 2015 | 30 |
| 12 | 2022 | 27 | |
| 13 | 2015 | 24 | |
| 14 | 2014 | 24 | |
| 15 | 2021 | 21 | |
| 16 | 2012 | 19 | |
| 17 | 2019 | 19 | |
| 18 | 2014 | 18 | |
| 19 | 2022 | 16 | |
| 20 | 2021 | 16 |
About Deye Song
Deye Song is a scholar working on Molecular Biology, Surgery, Epidemiology, Cancer Research and Rheumatology, having authored 44 papers that have together received 875 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (5 papers), Bone and Joint Diseases (4 papers), Cancer-related molecular mechanisms research (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Cancer-related gene regulation (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Cancer Research (222 citations), Molecular Biology (391 citations), Rehabilitation (34 citations), Orthopedics and Sports Medicine (44 citations) and Geriatrics and Gerontology (17 citations). Deye Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Muliang Ding, Jun Huang, Jiangdong Ni, Mingming Yan, Wenzhao Li, Junjie Wang, Ke Liu, Jiangdong Ni, Guangxu He and Junjie Wang. Their work appears in journals such as Scientific Reports, Cell Cycle, American Journal of Translational Research, Journal of Investigative Medicine and Archives of Biochemistry and Biophysics.
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.