Sha Song
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Ubiquitin and proteasome pathways 6
- Protein Degradation and Inhibitors 5
- RNA modifications and cancer 5
- RNA Research and Splicing 4
-
- Multiple Myeloma Research and Treatments 8
- Co-authors
- Wenzhuo Zhuang (13 shared papers)Bing-Zong Li (13 shared papers)Chenao Qian (10 shared papers)Huiying Han (10 shared papers)Hongxia Xu (7 shared papers)Wenqi Zhou (4 shared papers)Yong Gan (6 shared papers)Qi Su (4 shared papers)
- Journals
- Blood (3 papers)British Journal of Cancer (2 papers)Cell Reports (2 papers)Molecular Pharmaceutics (2 papers)The EMBO Journal (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Sha Song
24 papers receiving 759 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 272
- Biomaterials 131
- Hematology 111
- Molecular Biology 556
- Pharmaceutical Science 33
Countries citing papers authored by Sha Song
This map shows the geographic impact of Sha 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 Sha Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Song more than expected).
Fields of papers citing papers by Sha Song
This network shows the impact of papers produced by Sha 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 Sha Song. The network helps show where Sha Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 136 | |
| 2 | 2018 | 122 | |
| 3 | 2019 | 106 | |
| 4 | 2019 | 82 | |
| 5 | 2020 | 53 | |
| 6 | 2020 | 47 | |
| 7 | 2018 | 32 | |
| 8 | 2021 | 28 | |
| 9 | 2019 | 25 | |
| 10 | 2021 | 22 | |
| 11 | 2018 | 20 | |
| 12 | 2022 | 16 | |
| 13 | 2021 | 16 | |
| 14 | 2021 | 14 | |
| 15 | 2018 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2024 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2018 | 3 |
About Sha Song
Sha Song is a scholar working on Molecular Biology, Hematology, Cell Biology, Cancer Research and Biomedical Engineering, having authored 26 papers that have together received 768 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Ubiquitin and proteasome pathways (6 papers), Nanoplatforms for cancer theranostics (5 papers), Protein Degradation and Inhibitors (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers), RNA modifications and cancer (5 papers), Nanoparticle-Based Drug Delivery (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (272 citations), Biomaterials (131 citations), Hematology (111 citations), Molecular Biology (556 citations) and Pharmaceutical Science (33 citations). Sha Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wenzhuo Zhuang, Bing-Zong Li, Chenao Qian, Huiying Han, Hongxia Xu, Wenqi Zhou, Yong Gan, Qi Su, Fan Gao and Miaorong Yu. Their work appears in journals such as Blood, British Journal of Cancer, Cell Reports, Molecular Pharmaceutics and The EMBO Journal.
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.