Ying� Qin
- Cancer Research top 1%
- MicroRNA in disease regulation 17
- Cancer-related molecular mechanisms research 14
- Molecular Biology top 2%
- Circular RNAs in diseases 13
- Immunology and Allergy top 2%
- Nephrology top 2%
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- Viral Infections and Immunology Research 7
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- Influenza Virus Research Studies 16
- Respiratory viral infections research 10
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- Vaccine Coverage and Hesitancy 6
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- Cancer Mechanisms and Therapy 6
- Co-authors
- Thomas T. SatoYuko FujiwaraYuzuru TozawaWerner RisauThomas GridleyHartwig WolburgUrban DeutschKaren Wolburg‐Buchholz
- Journals
- Cellular Physiology and Biochemistry (4 papers)Vaccines (3 papers)Technology in Cancer Research & Treatment (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ying� Qin
122 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Cancer Research 1.1k
- Molecular Biology 3.4k
- Immunology and Allergy 242
- Nephrology 232
- Cardiology and Cardiovascular Medicine 679
Countries citing papers authored by Ying� Qin
This map shows the geographic impact of Ying� Qin'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� Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying� Qin more than expected).
Fields of papers citing papers by Ying� Qin
This network shows the impact of papers produced by Ying� Qin. 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� Qin. The network helps show where Ying� Qin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying� Qin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 17 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 27 | |
| 10 | 2021 | 17 | |
| 11 | 2020 | 38 | |
| 12 | 2020 | 15 | |
| 13 | 2019 | 104 | |
| 14 | 2018 | 16 | |
| 15 | 2018 | 6 | |
| 16 | 2017 | 20 | |
| 17 | 2016 | 63 | |
| 18 | THERMAL ANALYSIS OF THE CHLORIDE IN CORROSION PRODUCTS ON BRONZE | 2012 | 0 |
| 19 | Proliferation and apoptosis of human umbilical vein endothelial cells induced by oxidized low density lipoprotein | 2003 | 2 |
| 20 | Production of Feeder Layer Used for Isolation and Culturing of Embryonic Stem Cells | 2000 | 1 |
About Ying� Qin
Ying� Qin is a scholar working on Cancer Research, Aging and Molecular Biology, having authored 133 papers that have together received 5.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (17 papers), Influenza Virus Research Studies (16 papers), Cancer-related molecular mechanisms research (14 papers), Circular RNAs in diseases (13 papers), Respiratory viral infections research (10 papers), Viral Infections and Immunology Research (7 papers), Vaccine Coverage and Hesitancy (6 papers) and Cancer Mechanisms and Therapy (6 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (3.4k citations) and Immunology and Allergy (242 citations). Ying� Qin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Thomas T. Sato, Yuko Fujiwara, Yuzuru Tozawa, Werner Risau, Thomas Gridley, Hartwig Wolburg, Urban Deutsch, Karen Wolburg‐Buchholz, Maureen Gendron‐Maguire and Yunlong Bai. Their work appears in journals such as Cellular Physiology and Biochemistry, Vaccines, Technology in Cancer Research & Treatment, Journal of Cellular Physiology and Journal of Gastroenterology.
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.