Yue Qin

1.7k total citations · 1 hit paper
23 papers, 1.2k citations indexed

About

Yue Qin is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cancer Research. According to data from OpenAlex, Yue Qin has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Cancer Research. Recurrent topics in Yue Qin's work include Mosquito-borne diseases and control (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Electron Spin Resonance Studies (2 papers). Yue Qin is often cited by papers focused on Mosquito-borne diseases and control (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Electron Spin Resonance Studies (2 papers). Yue Qin collaborates with scholars based in United States, China and Malaysia. Yue Qin's co-authors include Shashi Kant Tiwari, Tariq M. Rana, Jason Dang, Gianluigi Lichinchi, Veena S. Patil, Alexey M. Eroshkin, Ralph A. Wheeler, Kriti Agrawal, Hui Hui and Vikas Bansal and has published in prestigious journals such as The Journal of Chemical Physics, The EMBO Journal and The Journal of Physical Chemistry.

In The Last Decade

Yue Qin

23 papers receiving 1.2k citations

Hit Papers

Zika Virus Depletes Neural Progenitors in Human Cerebral ... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yue Qin United States 14 435 395 285 204 119 23 1.2k
Sergi Padilla‐Parra United Kingdom 24 672 1.5× 88 0.2× 302 1.1× 279 1.4× 117 1.0× 54 1.6k
Gerald W. Gordon United States 11 1.4k 3.2× 139 0.4× 55 0.2× 788 3.9× 96 0.8× 19 2.3k
Alain Laederach United States 35 2.7k 6.2× 76 0.2× 146 0.5× 171 0.8× 79 0.7× 92 3.7k
Jonathan J. M. Landry Germany 13 555 1.3× 74 0.2× 341 1.2× 76 0.4× 60 0.5× 24 1.1k
Matthew C. Good United States 27 2.4k 5.6× 128 0.3× 124 0.4× 111 0.5× 179 1.5× 48 3.5k
Monika Westphal Germany 24 987 2.3× 48 0.1× 119 0.4× 136 0.7× 119 1.0× 42 1.8k
Benjamin G. Kopek United States 12 539 1.2× 81 0.2× 163 0.6× 99 0.5× 113 0.9× 14 1.2k
Sidhartha Chaudhury United States 22 1.3k 2.9× 233 0.6× 200 0.7× 111 0.5× 44 0.4× 59 1.9k
Daniele Arosio Italy 25 1.3k 3.0× 32 0.1× 432 1.5× 154 0.8× 99 0.8× 50 2.2k
Christophe Anjard United States 24 1.2k 2.7× 87 0.2× 59 0.2× 497 2.4× 160 1.3× 45 2.1k

Countries citing papers authored by Yue Qin

Since Specialization
Citations

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

Fields of papers citing papers by Yue Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Qin. A scholar is included among the top collaborators of Yue Qin 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 Yue Qin. Yue Qin 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.
Liu, Lin, et al.. (2025). Intestinal injury signaling pathway in sepsis. Frontiers in Immunology. 16. 1620965–1620965. 1 indexed citations
2.
Xu, Jianchang, Xuehui Huang, Chunmiao Jiang, et al.. (2025). Mussel Foot Protein Membrane‐Enclosed Crystalline Drug with Zero‐Order Release Kinetics for Long‐Acting Therapy. Angewandte Chemie. 137(20). 1 indexed citations
3.
Chen, Shiyin, et al.. (2024). pH-responsive hydrogel with gambogic acid and calcium nanowires for promoting mitochondrial apoptosis in osteosarcoma. Journal of Controlled Release. 377. 563–577. 4 indexed citations
4.
Qin, Yue, et al.. (2024). Single-cell network analysis reveals gene expression programs for Arabidopsis root development and metabolism. Plant Communications. 5(8). 100978–100978. 11 indexed citations
5.
Qin, Yue, et al.. (2024). Evolutionary System of Magnoliaceae Based on Chloroplast Genomic and Morphological Evolutionomy. American Journal of Agriculture and Forestry. 12(1). 22–50. 5 indexed citations
6.
Gentili, Matteo, Rebecca J. Carlson, Bingxu Liu, et al.. (2024). Classification and functional characterization of regulators of intracellular STING trafficking identified by genome-wide optical pooled screening. Cell Systems. 15(12). 1264–1277.e8. 4 indexed citations
7.
Kratz, Anton, Minkyu Kim, Marcus R. Kelly, et al.. (2023). A multi-scale map of protein assemblies in the DNA damage response. Cell Systems. 14(6). 447–463.e8. 14 indexed citations
8.
Han, Xue, Jielong Guo, Yue Qin, et al.. (2022). Dietary regulation of the SIgA-gut microbiota interaction. Critical Reviews in Food Science and Nutrition. 63(23). 6379–6392. 14 indexed citations
10.
Tiwari, Shashi Kant, Jason Dang, Nianwei Lin, et al.. (2020). Zika virus depletes neural stem cells and evades selective autophagy by suppressing the Fanconi anemia protein FANCC. EMBO Reports. 21(12). e49183–e49183. 20 indexed citations
11.
Dang, Jason, Shashi Kant Tiwari, Kriti Agrawal, et al.. (2020). Glial cell diversity and methamphetamine-induced neuroinflammation in human cerebral organoids. Molecular Psychiatry. 26(4). 1194–1207. 90 indexed citations
12.
Zhang, Qiong, Ti‐Chun Chao, Veena S. Patil, et al.. (2019). The long noncoding RNA ROCKI regulates inflammatory gene expression. The EMBO Journal. 38(8). 73 indexed citations
13.
Carlin, Daniel E., Samson Fong, Yue Qin, et al.. (2019). A Fast and Flexible Framework for Network-Assisted Genomic Association. iScience. 16. 155–161. 14 indexed citations
14.
Chao, Ti‐Chun, Qiong Zhang, Zhonghan Li, et al.. (2019). The Long Noncoding RNAHEALRegulates HIV-1 Replication through Epigenetic Regulation of the HIV-1 Promoter. mBio. 10(5). 55 indexed citations
15.
Dang, Jason, Shashi Kant Tiwari, Yue Qin, & Tariq M. Rana. (2019). Genome-wide Integrative Analysis of Zika-Virus-Infected Neuronal Stem Cells Reveals Roles for MicroRNAs in Cell Cycle and Stemness. Cell Reports. 27(12). 3618–3628.e5. 46 indexed citations
16.
Wu, Yansheng, et al.. (2019). Binary and ternary sequences with a few cross correlations. Cryptography and Communications. 12(3). 511–525. 3 indexed citations
17.
Tiwari, Shashi Kant, Jason Dang, Yue Qin, et al.. (2017). Zika virus infection reprograms global transcription of host cells to allow sustained infection. Emerging Microbes & Infections. 6(1). 1–10. 57 indexed citations
18.
Zhao, Ying, Guoliang Li, Weimin Zheng, et al.. (2017). V-Tree: Efficient kNN Search on Moving Objects with Road-Network Constraints. 609–620. 33 indexed citations
19.
Dang, Jason, Shashi Kant Tiwari, Gianluigi Lichinchi, et al.. (2016). Zika Virus Depletes Neural Progenitors in Human Cerebral Organoids through Activation of the Innate Immune Receptor TLR3. Cell stem cell. 19(2). 258–265. 565 indexed citations breakdown →
20.
Qin, Yue & Ralph A. Wheeler. (1996). Density-Functional-Derived Structures, Spin Properties, and Vibrations for Phenol Radical Cation. The Journal of Physical Chemistry. 100(25). 10554–10563. 33 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026