Ailing Li
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 5%
- Inflammasome and immune disorders
- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Renal and related cancers
Papers in
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- Ubiquitin and proteasome pathways 8
- RNA Research and Splicing 8
- Renal and related cancers 7
-
- Plant Stress Responses and Tolerance 6
- Co-authors
- Tao Zhou (25 shared papers)Huiyan Li (18 shared papers)Xuemin Zhang (22 shared papers)Yan Sun (5 shared papers)Huimin Peng (4 shared papers)Zheng Zhang (4 shared papers)Zhengqiu Zhang (3 shared papers)Xin Pan (13 shared papers)
- Journals
- Nature Communications (4 papers)PLoS ONE (3 papers)Cell Death and Disease (3 papers)PROTEOMICS (2 papers)Plant Physiology and Biochemistry (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Ailing Li
129 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 148
- Cancer Research 724
- Molecular Biology 2.0k
- Nephrology 138
- Immunology 386
- Inorganic Chemistry 161
Countries citing papers authored by Ailing Li
This map shows the geographic impact of Ailing 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 Ailing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ailing Li more than expected).
Fields of papers citing papers by Ailing Li
This network shows the impact of papers produced by Ailing 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 Ailing Li. The network helps show where Ailing Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ailing 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 399 | |
| 2 | 2015 | 247 | |
| 3 | 2017 | 214 | |
| 4 | 2018 | 132 | |
| 5 | 2018 | 122 | |
| 6 | 2019 | 117 | |
| 7 | 2009 | 115 | |
| 8 | 2016 | 105 | |
| 9 | 2020 | 80 | |
| 10 | 2019 | 69 | |
| 11 | 2018 | 69 | |
| 12 | 2012 | 62 | |
| 13 | 2011 | 56 | |
| 14 | 2005 | 49 | |
| 15 | 2014 | 44 | |
| 16 | 2012 | 41 | |
| 17 | 2018 | 40 | |
| 18 | 2009 | 39 | |
| 19 | 2019 | 38 | |
| 20 | 2014 | 38 |
About Ailing Li
Ailing Li is a scholar working on Molecular Biology, Plant Science, Immunology, Cancer Research and Oncology, having authored 134 papers that have together received 3.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), RNA Research and Splicing (8 papers), Microtubule and mitosis dynamics (7 papers), Renal and related cancers (7 papers), interferon and immune responses (6 papers), Cancer-related molecular mechanisms research (6 papers), Plant Stress Responses and Tolerance (6 papers) and Metal-Organic Frameworks: Synthesis and Applications (5 papers). The work is most often cited by research in Cancer Research (724 citations), Molecular Biology (2.0k citations), Nephrology (138 citations), Immunology (386 citations) and Inorganic Chemistry (161 citations). Ailing Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Tao Zhou, Huiyan Li, Xuemin Zhang, Yan Sun, Huimin Peng, Zheng Zhang, Zhengqiu Zhang, Xin Pan, Handeng Liu and Tao Li. Their work appears in journals such as Nature Communications, PLoS ONE, Cell Death and Disease, PROTEOMICS and Plant Physiology and Biochemistry.
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.