Qing Xin
Impact in
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- Neuropeptides and Animal Physiology
- Nuclear Receptors and Signaling
- Pharmacology top 10%
- Apelin-related biomedical research
Papers in
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- RNA modifications and cancer 4
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- Ferroptosis and cancer prognosis 4
- Co-authors
- Bo Bai (5 shared papers)Wenjing Xu (7 shared papers)Jing Chen (4 shared papers)Haiqing Liu (3 shared papers)Baohua Cheng (2 shared papers)Ingegerd M. Keith (2 shared papers)Shengli Liu (3 shared papers)Wenyan Liu (2 shared papers)
- Journals
- Medical Physics (3 papers)BMC Gastroenterology (3 papers)Frontiers in Genetics (3 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (2 papers)BioMed Research International (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qing Xin
72 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 130
- Cellular and Molecular Neuroscience 187
- Pharmacology 149
- Radiology, Nuclear Medicine and Imaging 184
- Neurology 64
- Parasitology 43
Countries citing papers authored by Qing Xin
This map shows the geographic impact of Qing Xin'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 Xin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Xin more than expected).
Fields of papers citing papers by Qing Xin
This network shows the impact of papers produced by Qing Xin. 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 Xin. The network helps show where Qing Xin may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Xin, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 121 | |
| 2 | 2014 | 113 | |
| 3 | 2022 | 69 | |
| 4 | 2017 | 63 | |
| 5 | 2013 | 53 | |
| 6 | 2022 | 45 | |
| 7 | 2001 | 45 | |
| 8 | 2013 | 42 | |
| 9 | 2016 | 40 | |
| 10 | 2012 | 40 | |
| 11 | 2015 | 39 | |
| 12 | 2022 | 36 | |
| 13 | 2022 | 34 | |
| 14 | 2012 | 33 | |
| 15 | 2003 | 31 | |
| 16 | 2021 | 29 | |
| 17 | 2014 | 28 | |
| 18 | 2016 | 27 | |
| 19 | 2023 | 27 | |
| 20 | 2020 | 23 |
About Qing Xin
Qing Xin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 77 papers that have together received 1.2k indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (7 papers), Neuropeptides and Animal Physiology (6 papers), Heart Rate Variability and Autonomic Control (5 papers), Nanoparticle-Based Drug Delivery (4 papers), RNA modifications and cancer (4 papers), Ferroptosis and cancer prognosis (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (187 citations), Pharmacology (149 citations), Radiology, Nuclear Medicine and Imaging (184 citations), Neurology (64 citations) and Parasitology (43 citations). Qing Xin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bo Bai, Wenjing Xu, Jing Chen, Haiqing Liu, Baohua Cheng, Ingegerd M. Keith, Shengli Liu, Wenyan Liu, Zengyong Li and Ming Zhang. Their work appears in journals such as Medical Physics, BMC Gastroenterology, Frontiers in Genetics, American Journal of Physiology-Lung Cellular and Molecular Physiology and BioMed Research International.
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.