Yanping Le
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA Research and Splicing
Papers in ⓘ
-
- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 6
- Co-authors
- Zhaohui Gong (10 shared papers)Jingqiu Li (5 shared papers)Jie Yang (5 shared papers)Chengwei Zhou (2 shared papers)Shaomin Wang (4 shared papers)Hui‐Kuan Lin (2 shared papers)Junming Guo (8 shared papers)Ping Zhou (1 shared paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yanping Le
32 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Cancer Research 704
- Molecular Biology 916
- Toxicology 19
- Endocrinology, Diabetes and Metabolism 74
- Genetics 111
Countries citing papers authored by Yanping Le
This map shows the geographic impact of Yanping Le'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 Yanping Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanping Le more than expected).
Fields of papers citing papers by Yanping Le
This network shows the impact of papers produced by Yanping Le. 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 Yanping Le. The network helps show where Yanping Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanping Le, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Circular RNAs in cancer: novel insights into origins, properties, functions and implications. | 2015 | 369 |
| 2 | 2013 | 139 | |
| 3 | 2013 | 75 | |
| 4 | 2013 | 72 | |
| 5 | 2012 | 60 | |
| 6 | PFKL/miR-128 axis regulates glycolysis by inhibiting AKT phosphorylation and predicts poor survival in lung cancer. | 2016 | 53 |
| 7 | 2013 | 48 | |
| 8 | 2008 | 38 | |
| 9 | 2012 | 38 | |
| 10 | 2011 | 35 | |
| 11 | 2014 | 31 | |
| 12 | 2014 | 29 | |
| 13 | 2013 | 28 | |
| 14 | 2013 | 25 | |
| 15 | 2013 | 21 | |
| 16 | 2006 | 20 | |
| 17 | 2010 | 18 | |
| 18 | 2012 | 16 | |
| 19 | 2013 | 16 | |
| 20 | 2013 | 15 |
About Yanping Le
Yanping Le is a scholar working on Cancer Research, Toxicology, Genetics, Complementary and alternative medicine and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (6 papers), Epigenetics and DNA Methylation (5 papers), Circular RNAs in diseases (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Pancreatic function and diabetes (3 papers), Genetic Associations and Epidemiology (3 papers) and Natural Compounds in Disease Treatment (2 papers). The work is most often cited by research in Cancer Research (704 citations), Molecular Biology (916 citations), Toxicology (19 citations), Endocrinology, Diabetes and Metabolism (74 citations) and Genetics (111 citations). Yanping Le has collaborated with scholars based in China and United States. Frequent co-authors include Zhaohui Gong, Jingqiu Li, Jie Yang, Chengwei Zhou, Shaomin Wang, Hui‐Kuan Lin, Junming Guo, Ping Zhou, Dazhi Xu and Bingxiu Xiao. Their work appears in journals such as Gene, PLoS ONE, Cancer, BMB Reports and Vaccine.
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.