Wei Song
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Medicine top 5%
Papers in
-
- RNA modifications and cancer 9
-
- 3D Printing in Biomedical Research 27
- Co-authors
- Minglin Ma (12 shared papers)Bin Yao (23 shared papers)Sha Huang (25 shared papers)Xiaobing Fu (22 shared papers)Duo An (9 shared papers)Naoki Kawazoe (6 shared papers)Guoping Chen (6 shared papers)Tian Hu (9 shared papers)
- Journals
- Burns & Trauma (6 papers)Oncotarget (6 papers)International Journal of Biological Macromolecules (4 papers)BMC Cancer (3 papers)Cell Death and Disease (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wei Song
118 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 506
- Molecular Medicine 154
- Biomaterials 406
- Biomedical Engineering 1.2k
- Sensory Systems 99
Countries citing papers authored by Wei Song
This map shows the geographic impact of Wei 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 Wei Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Song more than expected).
Fields of papers citing papers by Wei Song
This network shows the impact of papers produced by Wei 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 Wei Song. The network helps show where Wei Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 334 | |
| 2 | 2017 | 169 | |
| 3 | 2019 | 168 | |
| 4 | 2021 | 126 | |
| 5 | 2014 | 96 | |
| 6 | 2011 | 93 | |
| 7 | 2020 | 91 | |
| 8 | 2019 | 90 | |
| 9 | 2019 | 87 | |
| 10 | 2020 | 86 | |
| 11 | 2014 | 85 | |
| 12 | 2015 | 80 | |
| 13 | 2019 | 64 | |
| 14 | 2017 | 63 | |
| 15 | 2019 | 63 | |
| 16 | 2005 | 61 | |
| 17 | 2014 | 57 | |
| 18 | 2016 | 56 | |
| 19 | 2021 | 56 | |
| 20 | 2021 | 55 |
About Wei Song
Wei Song is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Surgery and Cancer Research, having authored 121 papers that have together received 3.5k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (27 papers), RNA modifications and cancer (9 papers), Cellular Mechanics and Interactions (9 papers), Cancer Cells and Metastasis (8 papers), Pancreatic function and diabetes (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), MicroRNA in disease regulation (6 papers) and Tissue Engineering and Regenerative Medicine (6 papers). The work is most often cited by research in Cancer Research (506 citations), Molecular Medicine (154 citations), Biomaterials (406 citations), Biomedical Engineering (1.2k citations) and Sensory Systems (99 citations). Wei Song has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Minglin Ma, Bin Yao, Sha Huang, Xiaobing Fu, Duo An, Naoki Kawazoe, Guoping Chen, Tian Hu, Jiuwei Cui and Alan Chiu. Their work appears in journals such as Burns & Trauma, Oncotarget, International Journal of Biological Macromolecules, BMC Cancer and Cell Death and Disease.
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.