Liping Su
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Neurology top 1%
- Barrier Structure and Function Studies
Papers in
-
- RNA modifications and cancer 15
- Epigenetics and DNA Methylation 13
- Cancer-related gene regulation 12
- Circular RNAs in diseases 11
-
- Cancer-related molecular mechanisms research 22
- MicroRNA in disease regulation 17
- Co-authors
- Bingya Liu (75 shared papers)Min Yan (35 shared papers)Jianfang Li (43 shared papers)Zhenggang Zhu (46 shared papers)Beiqin Yu (38 shared papers)Jerrold R. Turner (7 shared papers)Le Shen (5 shared papers)Zhenggang Zhu (25 shared papers)
- Journals
- Oncotarget (9 papers)PLoS ONE (7 papers)Cancer Research (5 papers)EBioMedicine (4 papers)Cancer Letters (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Liping Su
135 papers receiving 6.5k citations
Liping Su's Hit Papers
Peers
Comparison fields: 5 of 149
- Cancer Research 2.7k
- Neurology 603
- Molecular Biology 4.1k
- Immunology 1.1k
- Oncology 1.3k
Countries citing papers authored by Liping Su
This map shows the geographic impact of Liping Su'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 Liping Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liping Su more than expected).
Fields of papers citing papers by Liping Su
This network shows the impact of papers produced by Liping Su. 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 Liping Su. The network helps show where Liping Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Liping Su, 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hypoxic Tumor-Derived Exosomal miR-301a Mediates M2 Macrophage Polarization via PTEN/PI3Kγ to Promote Pancreatic Cancer Metastasis Hit paper breakdown → | 2018 | 580 |
| 2 | 2014 | 437 | |
| 3 | 2008 | 351 | |
| 4 | 2013 | 309 | |
| 5 | 2017 | 278 | |
| 6 | 2006 | 248 | |
| 7 | 2010 | 242 | |
| 8 | 2010 | 226 | |
| 9 | 2007 | 145 | |
| 10 | 2014 | 141 | |
| 11 | 2005 | 132 | |
| 12 | 2009 | 112 | |
| 13 | 2019 | 105 | |
| 14 | 2014 | 99 | |
| 15 | 2016 | 91 | |
| 16 | 2017 | 90 | |
| 17 | 2017 | 88 | |
| 18 | 2012 | 84 | |
| 19 | 2013 | 84 | |
| 20 | 2013 | 81 |
About Liping Su
Liping Su is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Cell Biology, having authored 142 papers that have together received 6.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (22 papers), MicroRNA in disease regulation (17 papers), RNA modifications and cancer (15 papers), Epigenetics and DNA Methylation (13 papers), Cancer-related gene regulation (12 papers), Circular RNAs in diseases (11 papers), Cancer Cells and Metastasis (11 papers) and Hippo pathway signaling and YAP/TAZ (10 papers). The work is most often cited by research in Cancer Research (2.7k citations), Neurology (603 citations), Molecular Biology (4.1k citations), Immunology (1.1k citations) and Oncology (1.3k citations). Liping Su has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bingya Liu, Min Yan, Jianfang Li, Zhenggang Zhu, Beiqin Yu, Jerrold R. Turner, Le Shen, Zhenggang Zhu, Xuehua Chen and Yingyan Yu. Their work appears in journals such as Oncotarget, PLoS ONE, Cancer Research, EBioMedicine 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.