Le Li
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
- Advanced biosensing and bioanalysis techniques
Papers in
-
- RNA modifications and cancer 13
- Advanced biosensing and bioanalysis techniques 13
- Ginseng Biological Effects and Applications 9
- RNA Research and Splicing 6
-
- Cancer-related molecular mechanisms research 14
- MicroRNA in disease regulation 9
- Co-authors
- Wenbiao Shen (2 shared papers)Yanqin Wang (1 shared paper)Bei Sun (8 shared papers)Guangquan Zhang (5 shared papers)Rui Kong (7 shared papers)Yongwei Wang (6 shared papers)Creed M. Stary (4 shared papers)Hua Chen (6 shared papers)
- Journals
- Aging (6 papers)Oxidative Medicine and Cellular Longevity (5 papers)Blood (2 papers)Advanced Science (2 papers)Journal of Mass Spectrometry (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Le Li
143 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 137
- Cancer Research 451
- Molecular Biology 1.3k
- Biochemistry 128
- Aging 29
- Developmental Neuroscience 49
Countries citing papers authored by Le Li
This map shows the geographic impact of Le Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Li more than expected).
Fields of papers citing papers by Le Li
This network shows the impact of papers produced by Le Li. 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 Li. The network helps show where Le Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Li, 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 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 202 | |
| 2 | 2016 | 195 | |
| 3 | 2012 | 82 | |
| 4 | 2015 | 76 | |
| 5 | 2021 | 75 | |
| 6 | 2018 | 72 | |
| 7 | 2023 | 64 | |
| 8 | 2013 | 56 | |
| 9 | 2015 | 55 | |
| 10 | 2013 | 54 | |
| 11 | 2012 | 53 | |
| 12 | 2016 | 51 | |
| 13 | 2016 | 49 | |
| 14 | 2012 | 46 | |
| 15 | 2017 | 45 | |
| 16 | 2014 | 43 | |
| 17 | 2017 | 39 | |
| 18 | 2014 | 39 | |
| 19 | 2021 | 38 | |
| 20 | 2018 | 37 |
About Le Li
Le Li is a scholar working on Molecular Biology, Cancer Research, Surgery, Physiology and Oncology, having authored 153 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (13 papers), Advanced biosensing and bioanalysis techniques (13 papers), Ginseng Biological Effects and Applications (9 papers), MicroRNA in disease regulation (9 papers), Nanocluster Synthesis and Applications (7 papers), RNA Research and Splicing (6 papers) and Circadian rhythm and melatonin (6 papers). The work is most often cited by research in Cancer Research (451 citations), Molecular Biology (1.3k citations), Biochemistry (128 citations), Aging (29 citations) and Developmental Neuroscience (49 citations). Le Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenbiao Shen, Yanqin Wang, Bei Sun, Guangquan Zhang, Rui Kong, Yongwei Wang, Creed M. Stary, Hua Chen, Xuewei Bai and Shiyuan Xu. Their work appears in journals such as Aging, Oxidative Medicine and Cellular Longevity, Blood, Advanced Science and Journal of Mass Spectrometry.
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.