Chuling Li
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- Congenital heart defects research
- RNA Research and Splicing
Papers in
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- Circular RNAs in diseases 5
- RNA modifications and cancer 2
- Ubiquitin and proteasome pathways 1
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- MicroRNA in disease regulation 3
- Co-authors
- Jianping Bin (10 shared papers)Wangjun Liao (9 shared papers)Hao Zheng (8 shared papers)Yulin Liao (7 shared papers)Guoquan Wei (6 shared papers)Yijin Chen (8 shared papers)Xiaoyun Si (3 shared papers)Yanmei Chen (6 shared papers)
In The Last Decade
Chuling Li
12 papers receiving 802 citations
Chuling Li's Hit Papers
Peers
Comparison fields: 5 of 66
- Cancer Research 365
- Molecular Biology 605
- Cardiology and Cardiovascular Medicine 97
- Immunology 62
- Pulmonary and Respiratory Medicine 55
Countries citing papers authored by Chuling Li
This map shows the geographic impact of Chuling 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 Chuling Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuling Li more than expected).
Fields of papers citing papers by Chuling Li
This network shows the impact of papers produced by Chuling 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 Chuling Li. The network helps show where Chuling Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chuling 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
| # | Work | ||
|---|---|---|---|
| 1 | Loss of Super-Enhancer-Regulated circRNA Nfix Induces Cardiac Regeneration After Myocardial Infarction in Adult Mice Hit paper breakdown → | 2019 | 365 |
| 2 | 2020 | 112 | |
| 3 | 2022 | 106 | |
| 4 | 2021 | 93 | |
| 5 | 2022 | 88 | |
| 6 | 2021 | 19 | |
| 7 | 2023 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 2024 | 1 |
About Chuling Li
Chuling Li is a scholar working on Molecular Biology, Cancer Research, Automotive Engineering, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 804 indexed citations. Recurring topics across this work include Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (2 papers), Ubiquitin and proteasome pathways (1 paper), Advanced Battery Technologies Research (1 paper), Aortic aneurysm repair treatments (1 paper), Peptidase Inhibition and Analysis (1 paper) and Multilevel Inverters and Converters (1 paper). The work is most often cited by research in Cancer Research (365 citations), Molecular Biology (605 citations), Cardiology and Cardiovascular Medicine (97 citations), Immunology (62 citations) and Pulmonary and Respiratory Medicine (55 citations). Chuling Li has collaborated with scholars based in China and Germany. Frequent co-authors include Jianping Bin, Wangjun Liao, Hao Zheng, Yulin Liao, Guoquan Wei, Yijin Chen, Xiaoyun Si, Yanmei Chen, Xinzhong Li and Senlin Huang. Their work appears in journals such as Advanced Science, Molecular Therapy, Circulation, Molecular Therapy — Nucleic Acids and Clinical Science.
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.