Chuling Li
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
Papers in
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- Lung Cancer Treatments and Mutations 5
- Aortic aneurysm repair treatments 2
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- RNA modifications and cancer 3
- Circular RNAs in diseases 2
- Extracellular vesicles in disease 2
- Co-authors
- Tangfeng Lv (12 shared papers)Yong Song (3 shared papers)Yong Song (12 shared papers)Hongbing Liu (9 shared papers)Chunchun Zhi (1 shared paper)Hongbing Liu (1 shared paper)Feng Zhu (1 shared paper)Xuan Wang (1 shared paper)
- Journals
- Translational Lung Cancer Research (3 papers)Annals of Translational Medicine (2 papers)Journal of Advanced Research (2 papers)Cell Death Discovery (1 paper)Therapeutic Advances in Medical Oncology (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Chuling Li
27 papers receiving 787 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 221
- Oncology 195
- Pulmonary and Respiratory Medicine 200
- Molecular Biology 388
- Immunology 100
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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 192 | |
| 2 | 2019 | 149 | |
| 3 | 2019 | 112 | |
| 4 | 2018 | 102 | |
| 5 | 2022 | 30 | |
| 6 | 2024 | 27 | |
| 7 | 2018 | 23 | |
| 8 | 2020 | 19 | |
| 9 | 2024 | 17 | |
| 10 | 2021 | 16 | |
| 11 | 2019 | 13 | |
| 12 | 2022 | 13 | |
| 13 | 2023 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2023 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2021 | 5 |
About Chuling Li
Chuling Li is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Cancer Research and Surgery, having authored 29 papers that have together received 794 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), Cancer-related molecular mechanisms research (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), RNA modifications and cancer (3 papers), Circular RNAs in diseases (2 papers), Extracellular vesicles in disease (2 papers), Lung Cancer Research Studies (2 papers) and Aortic aneurysm repair treatments (2 papers). The work is most often cited by research in Cancer Research (221 citations), Oncology (195 citations), Pulmonary and Respiratory Medicine (200 citations), Molecular Biology (388 citations) and Immunology (100 citations). Chuling Li has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Tangfeng Lv, Yong Song, Yong Song, Hongbing Liu, Chunchun Zhi, Hongbing Liu, Feng Zhu, Xuan Wang, Wenjun Liang and Xi Chen. Their work appears in journals such as Translational Lung Cancer Research, Annals of Translational Medicine, Journal of Advanced Research, Cell Death Discovery and Therapeutic Advances in Medical Oncology.
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.