Qu Cai
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
-
- RNA modifications and cancer 10
- Cancer-related gene regulation 9
- Circular RNAs in diseases 6
- TGF-β signaling in diseases 6
- Oncology 32
- Cancer Cells and Metastasis 7
- Drug Transport and Resistance Mechanisms 7
- Co-authors
- Bingya Liu (35 shared papers)Zhenggang Zhu (24 shared papers)Yingyan Yu (23 shared papers)Xuehua Chen (23 shared papers)Jun Zhang (23 shared papers)Jianfang Li (13 shared papers)Beiqin Yu (11 shared papers)Min Shi (16 shared papers)
- Journals
- PLoS ONE (4 papers)International Journal of Oncology (3 papers)Biomedicine & Pharmacotherapy (3 papers)Oncology Reports (3 papers)International Journal of Medical Sciences (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Qu Cai
72 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 1.2k
- Oncology 655
- Molecular Biology 1.6k
- Pulmonary and Respiratory Medicine 410
- Pathology and Forensic Medicine 152
Countries citing papers authored by Qu Cai
This map shows the geographic impact of Qu Cai'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 Qu Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qu Cai more than expected).
Fields of papers citing papers by Qu Cai
This network shows the impact of papers produced by Qu Cai. 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 Qu Cai. The network helps show where Qu Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Qu Cai, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 242 | |
| 2 | 2015 | 144 | |
| 3 | 2014 | 141 | |
| 4 | 2020 | 107 | |
| 5 | 2010 | 94 | |
| 6 | 2011 | 94 | |
| 7 | 2017 | 90 | |
| 8 | 2018 | 83 | |
| 9 | 2014 | 73 | |
| 10 | 2013 | 72 | |
| 11 | 2017 | 67 | |
| 12 | 2013 | 63 | |
| 13 | 2013 | 63 | |
| 14 | 2012 | 59 | |
| 15 | 2007 | 49 | |
| 16 | 2013 | 45 | |
| 17 | 2018 | 43 | |
| 18 | 2009 | 42 | |
| 19 | 2006 | 41 | |
| 20 | 2013 | 40 |
About Qu Cai
Qu Cai is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 74 papers that have together received 2.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), RNA modifications and cancer (10 papers), Cancer-related gene regulation (9 papers), Cancer Cells and Metastasis (7 papers), Cancer-related molecular mechanisms research (7 papers), Drug Transport and Resistance Mechanisms (7 papers), Circular RNAs in diseases (6 papers) and TGF-β signaling in diseases (6 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (655 citations), Molecular Biology (1.6k citations), Pulmonary and Respiratory Medicine (410 citations) and Pathology and Forensic Medicine (152 citations). Qu Cai has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Bingya Liu, Zhenggang Zhu, Yingyan Yu, Xuehua Chen, Jun Zhang, Jianfang Li, Beiqin Yu, Min Shi, Jinling Jiang and Liping Su. Their work appears in journals such as PLoS ONE, International Journal of Oncology, Biomedicine & Pharmacotherapy, Oncology Reports and International Journal of Medical Sciences.
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.