Qin Yu

575 total citations
26 papers, 433 citations indexed

About

Qin Yu is a scholar working on Plant Science, Epidemiology and Molecular Biology. According to data from OpenAlex, Qin Yu has authored 26 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 10 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Qin Yu's work include Respiratory viral infections research (10 papers), Phytochemistry and Biological Activities (5 papers) and Natural product bioactivities and synthesis (4 papers). Qin Yu is often cited by papers focused on Respiratory viral infections research (10 papers), Phytochemistry and Biological Activities (5 papers) and Natural product bioactivities and synthesis (4 papers). Qin Yu collaborates with scholars based in China, United States and United Kingdom. Qin Yu's co-authors include Sreerupa Challa, Choi-Lai Tiong-Yip, Jun Fan, Ronan Le Goffic, Ewan F. Dunn, Marie‐Anne Rameix‐Welti, Sabine Riffault, Jean‐François Eléouët, Marie Galloux and Pierre‐Louis Hervé and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Virology.

In The Last Decade

Qin Yu

26 papers receiving 409 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qin Yu China 11 299 135 88 74 54 26 433
Julia Dubois France 11 246 0.8× 272 2.0× 47 0.5× 183 2.5× 14 0.3× 18 578
Mayo Yasugi Japan 12 162 0.5× 133 1.0× 36 0.4× 119 1.6× 7 0.1× 37 406
Maria Loose Germany 11 73 0.2× 50 0.4× 27 0.3× 99 1.3× 38 0.7× 20 348
Sumio Kawamura Japan 11 290 1.0× 304 2.3× 66 0.8× 67 0.9× 53 1.0× 22 586
Augusto E. Bivona Argentina 12 257 0.9× 36 0.3× 19 0.2× 90 1.2× 31 0.6× 26 431
Beatrı́z Gómez Mexico 12 177 0.6× 107 0.8× 46 0.5× 165 2.2× 30 0.6× 24 471
Vincent Williams Australia 11 84 0.3× 22 0.2× 79 0.9× 64 0.9× 35 0.6× 26 396
Kazuma Yamauchi Japan 13 156 0.5× 43 0.3× 38 0.4× 95 1.3× 155 2.9× 38 473
Aize Pellón Spain 13 166 0.6× 261 1.9× 53 0.6× 148 2.0× 40 0.7× 24 445
Shana Priscila Coutinho Barroso Brazil 8 73 0.2× 138 1.0× 24 0.3× 86 1.2× 17 0.3× 16 326

Countries citing papers authored by Qin Yu

Since Specialization
Citations

This map shows the geographic impact of Qin Yu'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 Qin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Yu more than expected).

Fields of papers citing papers by Qin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qin Yu. 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 Qin Yu. The network helps show where Qin Yu may publish in the future.

Co-authorship network of co-authors of Qin Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Qin Yu. A scholar is included among the top collaborators of Qin Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qin Yu. Qin Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yu, Qin, Jingyan Wang, Rong Chen, et al.. (2025). Honey-fried licorice decoction ameliorates atrial fibrillation susceptibility by inhibiting the NOX2–ROS–TGF-β1 pathway. Frontiers in Pharmacology. 16. 1595111–1595111. 1 indexed citations
2.
Huang, Jintian, Jia Fu, Qin Yu, et al.. (2024). Structurally Diverse Phenylpropanamides from Cannabis Fructus and Their Potential Neuroprotective Effects. Journal of Agricultural and Food Chemistry. 72(21). 12100–12118. 3 indexed citations
3.
Zheng, Pengfei, Qinqin Song, Qin Yu, et al.. (2024). Spatial and diel variations of bacterioplankton and pico-nanoeukaryote communities and potential biotic interactions during macroalgal blooms. Marine Pollution Bulletin. 202. 116409–116409. 1 indexed citations
4.
Zhang, Guosheng, Ningzheng Zhu, Xiang‐Zhou Meng, et al.. (2024). Microplastic biofilms promote the horizontal transfer of antibiotic resistance genes in estuarine environments. Marine Environmental Research. 202. 106777–106777. 12 indexed citations
5.
Li, Haiyan, Qin Yu, Dongmei Zhou, et al.. (2024). Carneusones A-F, Benzophenone Derivatives from Sponge-Derived Fungus Aspergillus carneus GXIMD00543. Marine Drugs. 22(2). 63–63. 3 indexed citations
6.
Yu, Qin, Hongfeng Quan, Xirong Zhou, et al.. (2021). The traditional uses, phytochemistry, pharmacology and toxicology of Dictamnus dasycarpus: a review. Journal of Pharmacy and Pharmacology. 73(12). 1571–1591. 21 indexed citations
7.
Li, Jia, Guan Wang, Qin Yu, et al.. (2020). Neuroprotective constituents from the aerial parts of Cannabis sativa L. subsp. sativa. RSC Advances. 10(53). 32043–32049. 8 indexed citations
8.
Beauchemin, Catherine A. A., Young‐In Kim, Qin Yu, Giuseppe Ciaramella, & John P. DeVincenzo. (2019). Uncovering critical properties of the human respiratory syncytial virus by combining in vitro assays and in silico analyses. PLoS ONE. 14(4). e0214708–e0214708. 15 indexed citations
9.
Zhu, Lingjuan, An‐Hua Wang, Qin Yu, et al.. (2019). Anti-inflammatory glycosides from the roots of Paeonia intermedia C. A. Meyer. Natural Product Research. 35(9). 1452–1458. 3 indexed citations
10.
Zhu, Lingjuan, An‐Hua Wang, Qin Yu, et al.. (2019). Two new alcohol glycosides from the roots of Paeonia intermedia C. A. Meyer. Journal of Asian Natural Products Research. 22(9). 823–829. 1 indexed citations
12.
Duvall, Jeremy R., Lynn VerPlank, Barbara Ludeke, et al.. (2016). Novel diversity-oriented synthesis-derived respiratory syncytial virus inhibitors identified via a high throughput replicon-based screen. Antiviral Research. 131. 19–25. 11 indexed citations
13.
Plant, Helen, et al.. (2015). High-Throughput Hit Screening Cascade to Identify Respiratory Syncytial Virus (RSV) Inhibitors. SLAS DISCOVERY. 20(5). 597–605. 9 indexed citations
14.
Noton, Sarah L., et al.. (2015). Respiratory Syncytial Virus Inhibitor AZ-27 Differentially Inhibits Different Polymerase Activities at the Promoter. Journal of Virology. 89(15). 7786–7798. 48 indexed citations
15.
Ren, Fu‐Cai, et al.. (2015). Lanostane-Type Triterpenoids from Scilla scilloides and Structure Revision of Drimiopsin D. Natural Products and Bioprospecting. 5(5). 263–270. 6 indexed citations
16.
Dunn, Ewan F., Robert E. McLaughlin, Olga Yuzhakov, et al.. (2014). Characterization of novel respiratory syncytial virus inhibitors identified by high throughput screen. Antiviral Research. 115. 71–74. 17 indexed citations
17.
Rameix‐Welti, Marie‐Anne, Ronan Le Goffic, Pierre‐Louis Hervé, et al.. (2014). Visualizing the replication of respiratory syncytial virus in cells and in living mice. Nature Communications. 5(1). 5104–5104. 100 indexed citations
18.
Yu, Qin, et al.. (2013). Effects of major geographical and climatic factors on fatty acid composition of oil-tea camellia seed oil. 38(11). 78–80. 2 indexed citations
19.
Tiong-Yip, Choi-Lai, et al.. (2013). Development of a high-throughput replicon assay for the identification of respiratory syncytial virus inhibitors. Antiviral Research. 101. 75–81. 14 indexed citations
20.
Xiong, Hui, Lisa Aschenbrenner, Jun Fan, et al.. (2013). Discovery of a potent respiratory syncytial virus RNA polymerase inhibitor. Bioorganic & Medicinal Chemistry Letters. 23(24). 6789–6793. 34 indexed citations

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.

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