Qin Liu
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 85
- Immune Response and Inflammation 21
- Immune Cell Function and Interaction 16
- Immunotherapy and Immune Responses 16
- Oncology 93
- CAR-T cell therapy research 19
- Cancer Immunotherapy and Biomarkers 19
- Co-authors
- Andrew V. KossenkovRugang ZhangDavid W. SpeicherLucia R. LanguinoKatherine M. AirdHsin‐Yao TangDario C. AltieriXiangfan Yin
- Journals
- Cancer Research (8 papers)PLoS ONE (7 papers)Nature Communications (6 papers)Journal of Clinical Oncology (6 papers)Oncotarget (6 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Qin Liu
374 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Cancer Research 1.8k
- Oncology 2.3k
- Immunology 1.8k
- Molecular Biology 4.7k
- Virology 162
Countries citing papers authored by Qin Liu
This map shows the geographic impact of Qin 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 Qin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Liu more than expected).
Fields of papers citing papers by Qin Liu
This network shows the impact of papers produced by Qin 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 Qin Liu. The network helps show where Qin Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qin 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 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 10 | |
| 7 | 2020 | 11 | |
| 8 | 2020 | 57 | |
| 9 | 2019 | 10 | |
| 10 | 2019 | 12 | |
| 11 | 2018 | 39 | |
| 12 | 2016 | 27 | |
| 13 | 2016 | 23 | |
| 14 | 2016 | 34 | |
| 15 | 2016 | 152 | |
| 16 | 2015 | 87 | |
| 17 | 2014 | 35 | |
| 18 | 2013 | 132 | |
| 19 | 2013 | 108 | |
| 20 | 2011 | 10 |
About Qin Liu
Qin Liu is a scholar working on Immunology, Oncology, Cancer Research, Virology and Immunology and Allergy, having authored 396 papers that have together received 10.5k indexed citations. Recurring topics across this work include Immune Response and Inflammation (21 papers), CAR-T cell therapy research (19 papers), Cancer Immunotherapy and Biomarkers (19 papers), MicroRNA in disease regulation (18 papers), Immune Cell Function and Interaction (16 papers), Immunotherapy and Immune Responses (16 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Autophagy in Disease and Therapy (14 papers). The work is most often cited by research in Cancer Research (1.8k citations), Oncology (2.3k citations), Immunology (1.8k citations), Molecular Biology (4.7k citations) and Virology (162 citations). Qin Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Andrew V. Kossenkov, Rugang Zhang, David W. Speicher, Lucia R. Languino, Katherine M. Aird, Hsin‐Yao Tang, Dario C. Altieri, Xiangfan Yin, Hanjiang Fu and Zhixian Sun. Their work appears in journals such as Cancer Research, PLoS ONE, Nature Communications, Journal of Clinical Oncology and Oncotarget.
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.