Xiaoping Liu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Extracellular vesicles in disease
- Epigenetics and DNA Methylation
Papers in
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- MicroRNA in disease regulation 16
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- Anesthesia and Neurotoxicity Research 1
- Co-authors
- Hailin Tang (9 shared papers)Xinhua Xie (5 shared papers)Minghua Wu (4 shared papers)Zeyou Wang (3 shared papers)Xiaoming Xie (4 shared papers)Qing Liu (4 shared papers)Lu Yang (3 shared papers)Cailu Song (3 shared papers)
- Journals
- Medical Oncology (2 papers)Oncotarget (2 papers)Molecular and Cellular Biochemistry (1 paper)Journal of Cellular Biochemistry (1 paper)Journal of Translational Medicine (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaoping Liu
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 74
- Cancer Research 701
- Molecular Biology 274
- Genetics 36
- Drug Discovery 1
- Oncology 75
Countries citing papers authored by Xiaoping Liu
This map shows the geographic impact of Xiaoping 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 Xiaoping Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Liu more than expected).
Fields of papers citing papers by Xiaoping Liu
This network shows the impact of papers produced by Xiaoping 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 Xiaoping Liu. The network helps show where Xiaoping Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 228 | |
| 2 | 2017 | 140 | |
| 3 | 2014 | 125 | |
| 4 | 2011 | 86 | |
| 5 | 2014 | 86 | |
| 6 | 2014 | 84 | |
| 7 | 2015 | 84 | |
| 8 | 2015 | 70 | |
| 9 | 2014 | 69 | |
| 10 | 2014 | 53 | |
| 11 | 2015 | 49 | |
| 12 | 2020 | 37 | |
| 13 | 2014 | 34 | |
| 14 | 2018 | 20 | |
| 15 | A cooperative microRNA–tumor suppressor gene network in acute T-cell lymphoblastic leukemia (T-ALL) | 2011 | 19 |
| 16 | 2019 | 19 | |
| 17 | 2019 | 19 | |
| 18 | 2018 | 17 | |
| 19 | 2019 | 16 | |
| 20 | 2021 | 16 |
About Xiaoping Liu
Xiaoping Liu is a scholar working on Cancer Research, Developmental Neuroscience, Toxicology, Physiology and Genetics, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (16 papers), Acute Lymphoblastic Leukemia research (2 papers), Bioactive Compounds and Antitumor Agents (1 paper), Schizophrenia research and treatment (1 paper), Anesthesia and Neurotoxicity Research (1 paper), Alzheimer's disease research and treatments (1 paper), Cell death mechanisms and regulation (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Cancer Research (701 citations), Molecular Biology (274 citations), Genetics (36 citations), Drug Discovery (1 citation) and Oncology (75 citations). Xiaoping Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hailin Tang, Xinhua Xie, Minghua Wu, Zeyou Wang, Xiaoming Xie, Qing Liu, Lu Yang, Cailu Song, Yingnan Sun and Shourong Shen. Their work appears in journals such as Medical Oncology, Oncotarget, Molecular and Cellular Biochemistry, Journal of Cellular Biochemistry and Journal of Translational Medicine.
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.