Shanshan Liang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Biological Psychiatry top 10%
Papers in
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- Circular RNAs in diseases 4
-
- MicroRNA in disease regulation 6
- Cancer, Hypoxia, and Metabolism 4
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Jie Zhao (2 shared papers)Hulin Piao (2 shared papers)Yue Wu (2 shared papers)Baoman Li (7 shared papers)Maosheng Xia (7 shared papers)Zexiong Li (5 shared papers)Alexei Verkhratsky (5 shared papers)Zhimin Chen (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (3 papers)Lung (2 papers)Biochemical and Biophysical Research Communications (2 papers)Optics Express (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited KingdomJapan
In The Last Decade
Shanshan Liang
57 papers receiving 897 citations
Peers
Comparison fields: 5 of 110
- Cancer Research 249
- Biological Psychiatry 38
- Behavioral Neuroscience 24
- Neurology 53
- Molecular Biology 434
Countries citing papers authored by Shanshan Liang
This map shows the geographic impact of Shanshan Liang'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 Shanshan Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanshan Liang more than expected).
Fields of papers citing papers by Shanshan Liang
This network shows the impact of papers produced by Shanshan Liang. 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 Shanshan Liang. The network helps show where Shanshan Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shanshan Liang, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 99 | |
| 2 | 2020 | 68 | |
| 3 | 2017 | 49 | |
| 4 | 2012 | 48 | |
| 5 | 2019 | 42 | |
| 6 | 2020 | 42 | |
| 7 | 2022 | 40 | |
| 8 | 2021 | 37 | |
| 9 | 2020 | 36 | |
| 10 | 2010 | 33 | |
| 11 | 2013 | 30 | |
| 12 | 2021 | 28 | |
| 13 | 2018 | 26 | |
| 14 | 2019 | 20 | |
| 15 | 2016 | 20 | |
| 16 | 2020 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 2020 | 16 | |
| 19 | 2019 | 16 | |
| 20 | 2021 | 15 |
About Shanshan Liang
Shanshan Liang is a scholar working on Molecular Biology, Cancer Research, Oncology, Plant Science and Small Animals, having authored 64 papers that have together received 904 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), MicroRNA in disease regulation (6 papers), Coccidia and coccidiosis research (4 papers), Circular RNAs in diseases (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Transition Metal Oxide Nanomaterials (3 papers), Cancer, Lipids, and Metabolism (3 papers) and Inflammatory Biomarkers in Disease Prognosis (3 papers). The work is most often cited by research in Cancer Research (249 citations), Biological Psychiatry (38 citations), Behavioral Neuroscience (24 citations), Neurology (53 citations) and Molecular Biology (434 citations). Shanshan Liang has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Jie Zhao, Hulin Piao, Yue Wu, Baoman Li, Maosheng Xia, Zexiong Li, Alexei Verkhratsky, Zhimin Chen, Qiuhong Wang and Ying Zhao. Their work appears in journals such as International Journal of Biological Macromolecules, Lung, Biochemical and Biophysical Research Communications, Optics Express and Scientific Reports.
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.