Ying Qu
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 2%
- Extracellular vesicles in disease
- Epigenetics and DNA Methylation
Papers in
- Oncology 40
- Cancer Cells and Metastasis 16
- Co-authors
- Zhiyong Qian (18 shared papers)Xiaojiang Cui (25 shared papers)Bingya Liu (32 shared papers)Mingyi Xu (22 shared papers)Armando E. Giuliano (17 shared papers)Qidi Zhang (11 shared papers)Bingyang Chu (12 shared papers)Frans Vandesande (12 shared papers)
- Journals
- Blood (5 papers)European Journal of Medicinal Chemistry (4 papers)Scientific Reports (4 papers)Small Methods (4 papers)Oncotarget (4 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Ying Qu
239 papers receiving 7.1k citations
Ying Qu's Hit Papers
Peers
Comparison fields: 5 of 178
- Cancer Research 1.1k
- Molecular Biology 3.3k
- Molecular Medicine 235
- Biomaterials 547
- Hepatology 314
Countries citing papers authored by Ying Qu
This map shows the geographic impact of Ying Qu'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 Ying Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Qu more than expected).
Fields of papers citing papers by Ying Qu
This network shows the impact of papers produced by Ying Qu. 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 Ying Qu. The network helps show where Ying Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Qu, 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 259 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 374 | |
| 2 | 2017 | 334 | |
| 3 | Advanced glycation end products (AGEs) and other adducts in aging-related diseases and alcohol-mediated tissue injury Hit paper breakdown → | 2021 | 251 |
| 4 | Adoption of green innovation technology to accelerate sustainable development among manufacturing industry Hit paper breakdown → | 2022 | 229 |
| 5 | 2010 | 199 | |
| 6 | 2015 | 197 | |
| 7 | 2015 | 191 | |
| 8 | 2012 | 177 | |
| 9 | 2016 | 146 | |
| 10 | 2012 | 141 | |
| 11 | 2017 | 122 | |
| 12 | 2010 | 110 | |
| 13 | 2018 | 109 | |
| 14 | 1999 | 100 | |
| 15 | 2013 | 84 | |
| 16 | 2022 | 81 | |
| 17 | 2015 | 81 | |
| 18 | 2014 | 79 | |
| 19 | 2021 | 77 | |
| 20 | 2014 | 72 |
About Ying Qu
Ying Qu is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Hepatology, having authored 259 papers that have together received 7.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (18 papers), MicroRNA in disease regulation (16 papers), Liver physiology and pathology (16 papers), Cancer Cells and Metastasis (16 papers), Neuroscience and Neuropharmacology Research (15 papers), Hepatitis B Virus Studies (10 papers), Acute Myeloid Leukemia Research (9 papers) and Multiple Myeloma Research and Treatments (9 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (3.3k citations), Molecular Medicine (235 citations), Biomaterials (547 citations) and Hepatology (314 citations). Ying Qu has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Zhiyong Qian, Xiaojiang Cui, Bingya Liu, Mingyi Xu, Armando E. Giuliano, Qidi Zhang, Bingyang Chu, Frans Vandesande, Xiaobo Cai and Jianfang Li. Their work appears in journals such as Blood, European Journal of Medicinal Chemistry, Scientific Reports, Small Methods 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.