Le Su
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Spectroscopy top 5%
- Molecular Sensors and Ion Detection
Papers in
-
- Cell death mechanisms and regulation 6
-
- Neurogenesis and neuroplasticity mechanisms 7
- Co-authors
- Jun‐Ying Miao (60 shared papers)Bao‐Xiang Zhao (48 shared papers)ShangLi Zhang (28 shared papers)Jing Zhao (33 shared papers)Shangli Zhang (12 shared papers)Wei Lü (7 shared papers)Ning Meng (6 shared papers)Qiulin Yue (32 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)Frontiers in Microbiology (4 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Le Su
106 papers receiving 2.2k citations
Le Su's Hit Papers
Peers
Comparison fields: 5 of 100
- Cancer Research 301
- Spectroscopy 219
- Epidemiology 310
- Immunology 179
- Molecular Biology 573
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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 143 | |
| 2 | 2015 | 137 | |
| 3 | 2014 | 131 | |
| 4 | 2019 | 113 | |
| 5 | 2017 | 69 | |
| 6 | 2015 | 62 | |
| 7 | 2016 | 62 | |
| 8 | 2016 | 57 | |
| 9 | 2013 | 42 | |
| 10 | 2016 | 41 | |
| 11 | 2017 | 39 | |
| 12 | 2022 | 39 | |
| 13 | 2018 | 38 | |
| 14 | 2019 | 38 | |
| 15 | 2019 | 38 | |
| 16 | 2010 | 35 | |
| 17 | 2011 | 35 | |
| 18 | 2018 | 34 | |
| 19 | 2013 | 33 | |
| 20 | 2021 | 33 |
About Le Su
Le Su is a scholar working on Molecular Biology, Developmental Neuroscience, Genetics, Epidemiology and Immunology, having authored 109 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (15 papers), Atherosclerosis and Cardiovascular Diseases (10 papers), Mesenchymal stem cell research (8 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Molecular Sensors and Ion Detection (6 papers), Cell death mechanisms and regulation (6 papers), Cancer-related molecular mechanisms research (6 papers) and Inflammatory Bowel Disease (5 papers). The work is most often cited by research in Cancer Research (301 citations), Spectroscopy (219 citations), Epidemiology (310 citations), Immunology (179 citations) and Molecular Biology (573 citations). Le Su has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jun‐Ying Miao, Bao‐Xiang Zhao, ShangLi Zhang, Jing Zhao, Shangli Zhang, Wei Lü, Ning Meng, Qiulin Yue, Zhimin Zhao and Xiao‐Ying He. Their work appears in journals such as Scientific Reports, The International Journal of Biochemistry & Cell Biology, RSC Advances, Journal of Cellular Physiology and Frontiers in Microbiology.
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.