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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- Cancer-related molecular mechanisms research 5
- Co-authors
- Tangfeng Lv (12 shared papers)Yong Sang Song (3 shared papers)Yong Song (12 shared papers)Hongbing Liu (9 shared papers)Feng Zhu (1 shared paper)Weiming Zhu (1 shared paper)Jianfeng Gong (1 shared paper)Lili Gu (1 shared paper)
- Journals
- Translational Lung Cancer Research (3 papers)Annals of Translational Medicine (2 papers)Journal of Advanced Research (2 papers)Journal of Translational Medicine (1 paper)Clinical & Translational Oncology (1 paper)
- Partner nations
- ChinaBangladeshItaly
In The Last Decade
Chuling Li
27 papers receiving 850 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 229
- Oncology 213
- Pulmonary and Respiratory Medicine 220
- Molecular Biology 406
- Immunology 102
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 | 200 | |
| 2 | 2019 | 150 | |
| 3 | 2019 | 124 | |
| 4 | 2018 | 112 | |
| 5 | 2022 | 33 | |
| 6 | 2024 | 33 | |
| 7 | 2024 | 24 | |
| 8 | 2018 | 24 | |
| 9 | 2020 | 19 | |
| 10 | 2021 | 17 | |
| 11 | 2022 | 16 | |
| 12 | 2019 | 13 | |
| 13 | 2020 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2025 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2024 | 7 |
About Chuling Li
Chuling Li is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Oncology, Molecular Biology and Epidemiology, having authored 29 papers that have together received 856 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), RNA modifications and cancer (3 papers), Lung Cancer Research Studies (2 papers), Aortic aneurysm repair treatments (2 papers), Circular RNAs in diseases (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cancer Research (229 citations), Oncology (213 citations), Pulmonary and Respiratory Medicine (220 citations), Molecular Biology (406 citations) and Immunology (102 citations). Chuling Li has collaborated with scholars based in China, Bangladesh and Italy. Frequent co-authors include Tangfeng Lv, Yong Sang Song, Yong Song, Hongbing Liu, Feng Zhu, Weiming Zhu, Jianfeng Gong, Lili Gu, Xuan Wang and Hongbing Liu. Their work appears in journals such as Translational Lung Cancer Research, Annals of Translational Medicine, Journal of Advanced Research, Journal of Translational Medicine and Clinical & Translational 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.