Chuling Li
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
Papers in
-
- Lung Cancer Treatments and Mutations 8
- Lung Cancer Diagnosis and Treatment 6
- Oncology 11
- Cancer Immunotherapy and Biomarkers 4
- Lung Cancer Research Studies 3
- Co-authors
- Tangfeng Lv (11 shared papers)Yong Song (3 shared papers)Yong Song (12 shared papers)Hongbing Liu (8 shared papers)Xuan Wang (1 shared paper)Qin Shen (1 shared paper)Hongbing Liu (1 shared paper)Lin Dang (1 shared paper)
- Journals
- Translational Lung Cancer Research (3 papers)Journal of Advanced Research (2 papers)Annals of Translational Medicine (2 papers)Cell Death Discovery (1 paper)BMC Medicine (1 paper)
- Partner nations
- ChinaUnited StatesGreece
In The Last Decade
Chuling Li
26 papers receiving 740 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 241
- Oncology 239
- Pulmonary and Respiratory Medicine 214
- Molecular Biology 426
- Immunology 108
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 187 | |
| 2 | 2019 | 147 | |
| 3 | 2019 | 110 | |
| 4 | 2018 | 93 | |
| 5 | 2022 | 27 | |
| 6 | 2018 | 22 | |
| 7 | 2020 | 18 | |
| 8 | 2024 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2024 | 15 | |
| 11 | 2019 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2021 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2021 | 5 | |
| 20 | 2024 | 4 |
About Chuling Li
Chuling Li is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Cancer Research and Epidemiology, having authored 28 papers that have together received 746 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Lung Cancer Diagnosis and Treatment (6 papers), Cancer-related molecular mechanisms research (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Circular RNAs in diseases (3 papers), Lung Cancer Research Studies (3 papers), Extracellular vesicles in disease (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (241 citations), Oncology (239 citations), Pulmonary and Respiratory Medicine (214 citations), Molecular Biology (426 citations) and Immunology (108 citations). Chuling Li has collaborated with scholars based in China, United States and Greece. Frequent co-authors include Tangfeng Lv, Yong Song, Yong Song, Hongbing Liu, Xuan Wang, Qin Shen, Hongbing Liu, Lin Dang, Xi Chen and Chunchun Zhi. Their work appears in journals such as Translational Lung Cancer Research, Journal of Advanced Research, Annals of Translational Medicine, Cell Death Discovery and BMC Medicine.
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.