Qing Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Ion Transport and Channel Regulation
- Extracellular vesicles in disease
- Circular RNAs in diseases
Papers in
-
- Extracellular vesicles in disease 15
- Ion Transport and Channel Regulation 9
- Circular RNAs in diseases 9
-
- Kidney Stones and Urolithiasis Treatments 17
- Co-authors
- Shaogang Wang (19 shared papers)Michel Burnier (6 shared papers)Lipu Gao (5 shared papers)Benzhong Zhu (4 shared papers)Yunbo Luo (4 shared papers)Jiaqiao Zhang (15 shared papers)Bernard C. Rossier (4 shared papers)Edith Hümmler (5 shared papers)
- Journals
- PLoS ONE (5 papers)Medicine (5 papers)PeerJ (5 papers)Frontiers in Oncology (5 papers)Postharvest Biology and Technology (4 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Qing Wang
193 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 155
- Cancer Research 405
- Molecular Biology 1.8k
- Biochemistry 135
- Pulmonary and Respiratory Medicine 666
- Nephrology 122
Countries citing papers authored by Qing Wang
This map shows the geographic impact of Qing Wang'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 Qing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Wang more than expected).
Fields of papers citing papers by Qing Wang
This network shows the impact of papers produced by Qing Wang. 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 Qing Wang. The network helps show where Qing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Wang, 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 203 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 295 | |
| 2 | 2016 | 136 | |
| 3 | 1997 | 135 | |
| 4 | 2018 | 129 | |
| 5 | 2013 | 129 | |
| 6 | 1999 | 128 | |
| 7 | 2020 | 119 | |
| 8 | 1999 | 111 | |
| 9 | 2008 | 104 | |
| 10 | 2007 | 95 | |
| 11 | 2016 | 92 | |
| 12 | 2019 | 91 | |
| 13 | 2010 | 80 | |
| 14 | 2001 | 77 | |
| 15 | 2020 | 75 | |
| 16 | 2015 | 69 | |
| 17 | 2006 | 68 | |
| 18 | 2014 | 64 | |
| 19 | 2015 | 61 | |
| 20 | 2010 | 59 |
About Qing Wang
Qing Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Cancer Research and Biomedical Engineering, having authored 203 papers that have together received 4.4k indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (17 papers), Extracellular vesicles in disease (15 papers), MicroRNA in disease regulation (13 papers), Nanoplatforms for cancer theranostics (12 papers), Ion Transport and Channel Regulation (9 papers), Circular RNAs in diseases (9 papers), Hormonal Regulation and Hypertension (8 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Cancer Research (405 citations), Molecular Biology (1.8k citations), Biochemistry (135 citations), Pulmonary and Respiratory Medicine (666 citations) and Nephrology (122 citations). Qing Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Shaogang Wang, Michel Burnier, Lipu Gao, Benzhong Zhu, Yunbo Luo, Jiaqiao Zhang, Bernard C. Rossier, Edith Hümmler, Henglong Hu and Yuchao Lu. Their work appears in journals such as PLoS ONE, Medicine, PeerJ, Frontiers in Oncology and Postharvest Biology and Technology.
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.