Li Liu
Impact in
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers
Papers in
- Cancer Research 157
- Cancer-related molecular mechanisms research 81
- Oncology 198
- Cancer Immunotherapy and Biomarkers 36
- Lung Cancer Research Studies 25
- Co-authors
- Simon CousensRobert E. BlackJoy E LawnColin MathersIgor RudanJamie PerinShefali OzaDaniel Hogan
- Journals
- PLoS ONE (30 papers)Scientific Reports (21 papers)Journal of Clinical Oncology (18 papers)Oncotarget (15 papers)Molecular Carcinogenesis (11 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Li Liu
613 papers receiving 17.8k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Cancer Research 3.4k
- Oncology 4.2k
- Pulmonary and Respiratory Medicine 3.2k
- Pediatrics, Perinatology and Child Health 1.9k
- Immunology 2.0k
Countries citing papers authored by Li Liu
This map shows the geographic impact of Li Liu'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 Li Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Liu more than expected).
Fields of papers citing papers by Li Liu
This network shows the impact of papers produced by Li Liu. 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 Li Liu. The network helps show where Li Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Liu, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 28 | |
| 13 | 2022 | 19 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 41 | |
| 16 | 2019 | 14 | |
| 17 | 2017 | 201 | |
| 18 | 2012 | 16 | |
| 19 | 2011 | 26 | |
| 20 | 2009 | 378 |
About Li Liu
Li Liu is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Immunology and Molecular Biology, having authored 663 papers that have together received 18.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (81 papers), Lung Cancer Treatments and Mutations (61 papers), RNA modifications and cancer (56 papers), Cancer Immunotherapy and Biomarkers (36 papers), Circular RNAs in diseases (30 papers), Immunotherapy and Immune Responses (30 papers), Lung Cancer Research Studies (25 papers) and Lung Cancer Diagnosis and Treatment (24 papers). The work is most often cited by research in Cancer Research (3.4k citations), Oncology (4.2k citations), Pulmonary and Respiratory Medicine (3.2k citations), Pediatrics, Perinatology and Child Health (1.9k citations) and Immunology (2.0k citations). Li Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Simon Cousens, Robert E. Black, Joy E Lawn, Colin Mathers, Igor Rudan, Jamie Perin, Shefali Oza, Daniel Hogan, Qingfeng Li and Amy O. Tsui. Their work appears in journals such as PLoS ONE, Scientific Reports, Journal of Clinical Oncology, Oncotarget and Molecular Carcinogenesis.
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.