Shanshan Liu
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
-
- Cancer-related molecular mechanisms research 23
- MicroRNA in disease regulation 13
- Cancer, Hypoxia, and Metabolism 7
- Cancer, Lipids, and Metabolism 4
-
- RNA modifications and cancer 11
- Circular RNAs in diseases 10
- RNA Research and Splicing 6
- Co-authors
- Hanjiang Fu (7 shared papers)Xiaofei Zheng (7 shared papers)Ying‐Hua Jin (5 shared papers)Yi Tie (5 shared papers)Yuan Shen (3 shared papers)Wei Xiong (1 shared paper)Yaojie Fu (1 shared paper)Ming Zhou (1 shared paper)
- Journals
- The FASEB Journal (4 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)Oncotarget (2 papers)Carcinogenesis (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shanshan Liu
65 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 125
- Cancer Research 964
- Molecular Biology 1.0k
- Catalysis 75
- Oncology 170
- Global and Planetary Change 131
Countries citing papers authored by Shanshan Liu
This map shows the geographic impact of Shanshan Liu'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 Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanshan Liu more than expected).
Fields of papers citing papers by Shanshan Liu
This network shows the impact of papers produced by Shanshan Liu. 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 Liu. The network helps show where Shanshan Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shanshan Liu, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 206 | |
| 2 | 2015 | 146 | |
| 3 | 2019 | 142 | |
| 4 | 2010 | 128 | |
| 5 | 2020 | 90 | |
| 6 | 2017 | 89 | |
| 7 | 2017 | 85 | |
| 8 | 2020 | 69 | |
| 9 | 2021 | 62 | |
| 10 | 2013 | 58 | |
| 11 | 2014 | 53 | |
| 12 | 2017 | 53 | |
| 13 | 2019 | 41 | |
| 14 | 2017 | 38 | |
| 15 | Aberrant shuttling of long noncoding RNAs during the mitochondria-nuclear crosstalk in hepatocellular carcinoma cells. | 2019 | 37 |
| 16 | 2016 | 37 | |
| 17 | 2011 | 35 | |
| 18 | 2020 | 35 | |
| 19 | 2021 | 35 | |
| 20 | 2021 | 32 |
About Shanshan Liu
Shanshan Liu is a scholar working on Cancer Research, Molecular Biology, Physiology, Immunology and Pulmonary and Respiratory Medicine, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (23 papers), MicroRNA in disease regulation (13 papers), RNA modifications and cancer (11 papers), Circular RNAs in diseases (10 papers), Cancer, Hypoxia, and Metabolism (7 papers), RNA Research and Splicing (6 papers), Adipose Tissue and Metabolism (4 papers) and Cancer, Lipids, and Metabolism (4 papers). The work is most often cited by research in Cancer Research (964 citations), Molecular Biology (1.0k citations), Catalysis (75 citations), Oncology (170 citations) and Global and Planetary Change (131 citations). Shanshan Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hanjiang Fu, Xiaofei Zheng, Ying‐Hua Jin, Yi Tie, Yuan Shen, Wei Xiong, Yaojie Fu, Ming Zhou, Guiyuan Li and Weihong Niu. Their work appears in journals such as The FASEB Journal, PLoS ONE, Scientific Reports, Oncotarget and Carcinogenesis.
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.