Yi Song
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Geriatrics and Gerontology top 10%
Papers in ⓘ
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 4
- Co-authors
- Ke Xu (2 shared papers)Liming Zhou (2 shared papers)Yao Xiong (2 shared papers)Yang Bai (2 shared papers)Yi‐Ying Wu (1 shared paper)Xiaodong Wang (1 shared paper)Yuanyuan Zhang (1 shared paper)Bin Han (1 shared paper)
- Journals
- Cellular Physiology and Biochemistry (2 papers)Osteoarthritis and Cartilage (2 papers)Molecular Neurobiology (2 papers)Experimental Cell Research (2 papers)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yi Song
36 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 423
- Geriatrics and Gerontology 45
- Molecular Biology 696
- Ophthalmology 75
- Oncology 148
Countries citing papers authored by Yi Song
This map shows the geographic impact of Yi 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 Yi Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Song more than expected).
Fields of papers citing papers by Yi Song
This network shows the impact of papers produced by Yi 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 Yi Song. The network helps show where Yi Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 225 | |
| 2 | 2017 | 168 | |
| 3 | 2016 | 62 | |
| 4 | 2016 | 54 | |
| 5 | 2013 | 45 | |
| 6 | 2012 | 45 | |
| 7 | 2015 | 41 | |
| 8 | 2020 | 35 | |
| 9 | 2021 | 33 | |
| 10 | 2020 | 32 | |
| 11 | 2018 | 28 | |
| 12 | 2008 | 27 | |
| 13 | 2014 | 27 | |
| 14 | 2018 | 21 | |
| 15 | 2018 | 21 | |
| 16 | The association of the expression of MTA1, nm23H1 with the invasion, metastasis of ovarian carcinoma. | 2003 | 21 |
| 17 | 2012 | 20 | |
| 18 | 2005 | 16 | |
| 19 | 2021 | 16 | |
| 20 | 2024 | 16 |
About Yi Song
Yi Song is a scholar working on Cancer Research, Physiology, Molecular Biology, Geriatrics and Gerontology and Pharmacology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (6 papers), RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (4 papers), Ubiquitin and proteasome pathways (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Circular RNAs in diseases (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cancer Research (423 citations), Geriatrics and Gerontology (45 citations), Molecular Biology (696 citations), Ophthalmology (75 citations) and Oncology (148 citations). Yi Song has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Ke Xu, Liming Zhou, Yao Xiong, Yang Bai, Yi‐Ying Wu, Xiaodong Wang, Yuanyuan Zhang, Bin Han, Li Li and Kaihong Zeng. Their work appears in journals such as Cellular Physiology and Biochemistry, Osteoarthritis and Cartilage, Molecular Neurobiology, Experimental Cell Research and Journal of Cellular Biochemistry.
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.