Ming Li
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Lung Cancer Treatments and Mutations 28
- Lung Cancer Diagnosis and Treatment 24
- Ferroptosis and cancer prognosis 18
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- RNA modifications and cancer 20
- Co-authors
- Cheng Zhan (46 shared papers)Qun Wang (37 shared papers)Mengnan Zhao (26 shared papers)Yiwei Huang (23 shared papers)Tao Lu (18 shared papers)Xiaodong Yang (13 shared papers)Jiacheng Yin (8 shared papers)Jiaqi Liang (23 shared papers)
- Journals
- Frontiers in Oncology (6 papers)PLoS ONE (5 papers)BMC Cancer (5 papers)Cancer Medicine (5 papers)Annals of Oncology (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ming Li
241 papers receiving 4.7k citations
Ming Li's Hit Papers
Peers
Comparison fields: 5 of 147
- Cancer Research 842
- Oncology 991
- Pulmonary and Respiratory Medicine 1.2k
- Immunology 465
- Molecular Biology 1.5k
Countries citing papers authored by Ming Li
This map shows the geographic impact of Ming 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 Ming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Li more than expected).
Fields of papers citing papers by Ming Li
This network shows the impact of papers produced by Ming 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 Ming Li. The network helps show where Ming Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 261 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | <p>Trends in the incidence, treatment, and survival of patients with lung cancer in the last four decades</p> Hit paper breakdown → | 2019 | 388 |
| 2 | 2016 | 179 | |
| 3 | 2014 | 127 | |
| 4 | 2015 | 115 | |
| 5 | 2013 | 105 | |
| 6 | 2005 | 94 | |
| 7 | 2018 | 93 | |
| 8 | 2014 | 83 | |
| 9 | 2021 | 78 | |
| 10 | 2021 | 75 | |
| 11 | 2019 | 75 | |
| 12 | 2021 | 74 | |
| 13 | 2010 | 70 | |
| 14 | 2013 | 69 | |
| 15 | 2021 | 66 | |
| 16 | 2020 | 61 | |
| 17 | 2019 | 52 | |
| 18 | 2012 | 50 | |
| 19 | 2020 | 50 | |
| 20 | 2019 | 49 |
About Ming Li
Ming Li is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Cancer Research and Surgery, having authored 261 papers that have together received 4.7k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (28 papers), Lung Cancer Diagnosis and Treatment (24 papers), RNA modifications and cancer (20 papers), Cancer-related molecular mechanisms research (19 papers), Ferroptosis and cancer prognosis (18 papers), Cancer Immunotherapy and Biomarkers (15 papers), Lung Cancer Research Studies (10 papers) and Renal Diseases and Glomerulopathies (8 papers). The work is most often cited by research in Cancer Research (842 citations), Oncology (991 citations), Pulmonary and Respiratory Medicine (1.2k citations), Immunology (465 citations) and Molecular Biology (1.5k citations). Ming Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Cheng Zhan, Qun Wang, Mengnan Zhao, Yiwei Huang, Tao Lu, Xiaodong Yang, Jiacheng Yin, Jiaqi Liang, Zhencong Chen and Zhengyang Hu. Their work appears in journals such as Frontiers in Oncology, PLoS ONE, BMC Cancer, Cancer Medicine and Annals of 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.