Le Su
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA modifications and cancer
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
Papers in
-
- Angiogenesis and VEGF in Cancer 9
- Circular RNAs in diseases 7
- Histone Deacetylase Inhibitors Research 7
- Immunology 22
- Co-authors
- Jun‐Ying Miao (60 shared papers)Bao‐Xiang Zhao (48 shared papers)ShangLi Zhang (25 shared papers)Jing Zhao (33 shared papers)Torsten O. Nielsen (6 shared papers)Shangli Zhang (12 shared papers)Wei Lü (7 shared papers)Di Ge (8 shared papers)
- Journals
- Scientific Reports (10 papers)The International Journal of Biochemistry & Cell Biology (7 papers)RSC Advances (7 papers)Journal of Cellular Physiology (5 papers)Bioorganic & Medicinal Chemistry Letters (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Le Su
132 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 131
- Cancer Research 596
- Molecular Biology 1.5k
- Biochemistry 139
- Immunology 303
- Spectroscopy 210
Countries citing papers authored by Le Su
This map shows the geographic impact of Le 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 Le Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Su more than expected).
Fields of papers citing papers by Le Su
This network shows the impact of papers produced by Le 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 Le Su. The network helps show where Le Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Le 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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 141 | |
| 2 | 2015 | 130 | |
| 3 | 2014 | 122 | |
| 4 | 2014 | 118 | |
| 5 | 2012 | 115 | |
| 6 | 2019 | 103 | |
| 7 | 2008 | 88 | |
| 8 | 2017 | 66 | |
| 9 | 2016 | 62 | |
| 10 | 2015 | 60 | |
| 11 | 2016 | 56 | |
| 12 | 2010 | 50 | |
| 13 | 2013 | 40 | |
| 14 | 2007 | 39 | |
| 15 | 2016 | 39 | |
| 16 | 2015 | 38 | |
| 17 | 2019 | 36 | |
| 18 | 2017 | 36 | |
| 19 | 2018 | 35 | |
| 20 | 2010 | 34 |
About Le Su
Le Su is a scholar working on Molecular Biology, Immunology, Epidemiology, Cancer Research and Physiology, having authored 139 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), Autophagy in Disease and Therapy (13 papers), MicroRNA in disease regulation (10 papers), Angiogenesis and VEGF in Cancer (9 papers), Circular RNAs in diseases (7 papers), Histone Deacetylase Inhibitors Research (7 papers), Nitric Oxide and Endothelin Effects (7 papers) and Cell Adhesion Molecules Research (7 papers). The work is most often cited by research in Cancer Research (596 citations), Molecular Biology (1.5k citations), Biochemistry (139 citations), Immunology (303 citations) and Spectroscopy (210 citations). Le Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jun‐Ying Miao, Bao‐Xiang Zhao, ShangLi Zhang, Jing Zhao, Torsten O. Nielsen, Shangli Zhang, Wei Lü, Di Ge, Ning Meng and T. Michael Underhill. Their work appears in journals such as Scientific Reports, The International Journal of Biochemistry & Cell Biology, RSC Advances, Journal of Cellular Physiology and Bioorganic & Medicinal Chemistry 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.