Side Liu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
-
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
Papers in
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- RNA Research and Splicing 4
- RNA modifications and cancer 4
- Ubiquitin and proteasome pathways 3
- Circular RNAs in diseases 2
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- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 4
- Co-authors
- Jide Wang (12 shared papers)Xiaosheng Wu (12 shared papers)Weimei Tang (11 shared papers)Aimin Li (5 shared papers)Xiang Li (6 shared papers)Aimin Li (8 shared papers)Jiaying Li (10 shared papers)Weiyu Dai (9 shared papers)
- Journals
- Cell Death and Disease (3 papers)Oncogene (3 papers)Nature Communications (2 papers)Frontiers in Oncology (2 papers)Cancer Letters (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Side Liu
21 papers receiving 790 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 263
- Molecular Biology 449
- Oncology 136
- Molecular Medicine 19
- Immunology 71
Countries citing papers authored by Side Liu
This map shows the geographic impact of Side 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 Side Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Side Liu more than expected).
Fields of papers citing papers by Side Liu
This network shows the impact of papers produced by Side 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 Side Liu. The network helps show where Side Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Side 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 102 | |
| 2 | 2022 | 96 | |
| 3 | 2020 | 70 | |
| 4 | 2018 | 56 | |
| 5 | 2019 | 50 | |
| 6 | 2017 | 49 | |
| 7 | 2018 | 47 | |
| 8 | 2020 | 47 | |
| 9 | 2023 | 41 | |
| 10 | 2022 | 39 | |
| 11 | 2021 | 38 | |
| 12 | 2021 | 30 | |
| 13 | 2021 | 26 | |
| 14 | 2020 | 22 | |
| 15 | 2021 | 21 | |
| 16 | 2018 | 16 | |
| 17 | 2023 | 13 | |
| 18 | 2017 | 12 | |
| 19 | 2023 | 8 | |
| 20 | 2020 | 6 |
About Side Liu
Side Liu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 24 papers that have together received 793 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), RNA Research and Splicing (4 papers), MicroRNA in disease regulation (4 papers), RNA modifications and cancer (4 papers), Ubiquitin and proteasome pathways (3 papers), Ferroptosis and cancer prognosis (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (263 citations), Molecular Biology (449 citations), Oncology (136 citations), Molecular Medicine (19 citations) and Immunology (71 citations). Side Liu has collaborated with scholars based in China and United States. Frequent co-authors include Jide Wang, Xiaosheng Wu, Weimei Tang, Aimin Li, Xiang Li, Aimin Li, Jiaying Li, Weiyu Dai, Xinke Wang and Yizhi Xiao. Their work appears in journals such as Cell Death and Disease, Oncogene, Nature Communications, Frontiers in Oncology and Cancer Letters.
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.