Dan Liu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
- Oncology 41
- PARP inhibition in cancer therapy 8
- Cancer Cells and Metastasis 7
- Co-authors
- Ding Ma (14 shared papers)Qinglei Gao (19 shared papers)Feng Yao (9 shared papers)Xi‐Long Zheng (9 shared papers)Chao‐Ke Tang (9 shared papers)Wei Xie (8 shared papers)Dongyi Wan (7 shared papers)Bixin Xi (6 shared papers)
- Journals
- Atherosclerosis (4 papers)Journal of Clinical Oncology (4 papers)Biochemical and Biophysical Research Communications (4 papers)Blood (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Dan Liu
140 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 164
- Cancer Research 599
- Oncology 530
- Molecular Biology 1.2k
- Biological Psychiatry 40
- Immunology 330
Countries citing papers authored by Dan Liu
This map shows the geographic impact of Dan 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 Dan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Liu more than expected).
Fields of papers citing papers by Dan Liu
This network shows the impact of papers produced by Dan 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 Dan Liu. The network helps show where Dan Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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
Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 106 | |
| 2 | 2016 | 91 | |
| 3 | 2018 | 90 | |
| 4 | 2011 | 90 | |
| 5 | 2017 | 85 | |
| 6 | 2008 | 85 | |
| 7 | 2014 | 75 | |
| 8 | 2015 | 71 | |
| 9 | 2016 | 65 | |
| 10 | 2016 | 65 | |
| 11 | 2017 | 53 | |
| 12 | 2014 | 52 | |
| 13 | 2016 | 50 | |
| 14 | 2014 | 49 | |
| 15 | 2021 | 47 | |
| 16 | 2014 | 45 | |
| 17 | 2015 | 45 | |
| 18 | 2016 | 44 | |
| 19 | 2016 | 44 | |
| 20 | 2014 | 44 |
About Dan Liu
Dan Liu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 147 papers that have together received 2.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Cholesterol and Lipid Metabolism (9 papers), PARP inhibition in cancer therapy (8 papers), Cancer-related molecular mechanisms research (8 papers), Lung Cancer Treatments and Mutations (8 papers), Ovarian cancer diagnosis and treatment (7 papers), Cancer Cells and Metastasis (7 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Cancer Research (599 citations), Oncology (530 citations), Molecular Biology (1.2k citations), Biological Psychiatry (40 citations) and Immunology (330 citations). Dan Liu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ding Ma, Qinglei Gao, Feng Yao, Xi‐Long Zheng, Chao‐Ke Tang, Wei Xie, Dongyi Wan, Bixin Xi, Yun-Cheng Lv and Wen Lei. Their work appears in journals such as Atherosclerosis, Journal of Clinical Oncology, Biochemical and Biophysical Research Communications, Blood and PLoS ONE.
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.