Can Qu
Impact in
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- Pharmaceutical Practices and Patient Outcomes
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- Microplastics and Plastic Pollution
Papers in
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- S100 Proteins and Annexins 4
- Protein Degradation and Inhibitors 2
- RNA modifications and cancer 2
- Co-authors
- Xiaowen Wang (5 shared papers)Ruixue Huang (10 shared papers)Yongzheng Guo (5 shared papers)Suxin Luo (4 shared papers)Chun Huang (2 shared papers)Xiaoyong Xiang (2 shared papers)Zhiqian Lü (2 shared papers)Ping‐Kun Zhou (5 shared papers)
- Journals
- The Science of The Total Environment (2 papers)European Journal of Medicinal Chemistry (1 paper)ACS Chemical Neuroscience (1 paper)Nutrients (1 paper)Journal of Advanced Research (1 paper)
- Partner nations
- ChinaPolandUnited States
In The Last Decade
Can Qu
24 papers receiving 284 citations
Peers
Comparison fields: 5 of 82
- Geriatrics and Gerontology 23
- Pollution 47
- Family Practice 6
- Cardiology and Cardiovascular Medicine 52
- Industrial and Manufacturing Engineering 18
Countries citing papers authored by Can Qu
This map shows the geographic impact of Can 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 Can Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Qu more than expected).
Fields of papers citing papers by Can Qu
This network shows the impact of papers produced by Can 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 Can Qu. The network helps show where Can Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Can 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 35 | |
| 2 | 2024 | 24 | |
| 3 | 2016 | 21 | |
| 4 | 2023 | 20 | |
| 5 | 2024 | 19 | |
| 6 | 2023 | 17 | |
| 7 | 2019 | 17 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 16 | |
| 10 | 2015 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2024 | 6 | |
| 17 | [Tripartite-motif protein 25 and pyruvate kinase M2 protein expression in non-small cell lung cancer]. | 2015 | 6 |
| 18 | 2023 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2022 | 5 |
About Can Qu
Can Qu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Cancer Research and Surgery, having authored 26 papers that have together received 288 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (4 papers), interferon and immune responses (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Protein Degradation and Inhibitors (2 papers), Effects of Radiation Exposure (2 papers), Patient Safety and Medication Errors (2 papers), RNA modifications and cancer (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Geriatrics and Gerontology (23 citations), Pollution (47 citations), Family Practice (6 citations), Cardiology and Cardiovascular Medicine (52 citations) and Industrial and Manufacturing Engineering (18 citations). Can Qu has collaborated with scholars based in China, Poland and United States. Frequent co-authors include Xiaowen Wang, Ruixue Huang, Yongzheng Guo, Suxin Luo, Chun Huang, Xiaoyong Xiang, Zhiqian Lü, Ping‐Kun Zhou, Feng Qiu and Lihui Xuan. Their work appears in journals such as The Science of The Total Environment, European Journal of Medicinal Chemistry, ACS Chemical Neuroscience, Nutrients and Journal of Advanced Research.
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.