Qi Ouyang

7.7k total citations · 2 hit papers
213 papers, 5.5k citations indexed

About

Qi Ouyang is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Qi Ouyang has authored 213 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Molecular Biology, 61 papers in Biomedical Engineering and 32 papers in Genetics. Recurrent topics in Qi Ouyang's work include Gene Regulatory Network Analysis (50 papers), Microfluidic and Bio-sensing Technologies (23 papers) and 3D Printing in Biomedical Research (21 papers). Qi Ouyang is often cited by papers focused on Gene Regulatory Network Analysis (50 papers), Microfluidic and Bio-sensing Technologies (23 papers) and 3D Printing in Biomedical Research (21 papers). Qi Ouyang collaborates with scholars based in China, United States and France. Qi Ouyang's co-authors include Chunxiong Luo, Chao Tang, Hang Ji, Ying Lu, Fangting Li, Tao Long, Luping Xu, Yong Chen, Dapeng Yu and Yuhai Tu and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Qi Ouyang

194 papers receiving 5.4k citations

Hit Papers

The yeast cell-cycle netw... 2004 2026 2011 2018 2004 2005 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Qi Ouyang 2.9k 1.5k 546 511 486 213 5.5k
Peter Lenz 2.0k 0.7× 1.2k 0.8× 525 1.0× 759 1.5× 540 1.1× 150 5.3k
Keir C. Neuman 3.1k 1.0× 2.8k 1.8× 722 1.3× 110 0.2× 590 1.2× 101 7.7k
James L. Thomas 1.6k 0.6× 908 0.6× 505 0.9× 137 0.3× 394 0.8× 290 7.6k
John Bechhoefer 1.6k 0.5× 1.2k 0.8× 803 1.5× 488 1.0× 234 0.5× 106 6.8k
Peter S. Swain 8.0k 2.7× 1.2k 0.8× 175 0.3× 282 0.6× 2.7k 5.6× 63 9.7k
Jean‐Louis Viovy 2.6k 0.9× 6.3k 4.2× 1.7k 3.2× 328 0.6× 190 0.4× 235 10.0k
Giovanni Dietler 3.0k 1.0× 2.3k 1.5× 1.6k 2.9× 623 1.2× 207 0.4× 255 9.6k
Kenneth A. Marx 1.6k 0.5× 1.3k 0.9× 692 1.3× 394 0.8× 104 0.2× 169 4.1k
Lene B. Oddershede 1.8k 0.6× 2.8k 1.8× 467 0.9× 79 0.2× 182 0.4× 132 6.4k
Simon Scheuring 5.2k 1.8× 1.4k 0.9× 747 1.4× 190 0.4× 272 0.6× 158 8.5k

Countries citing papers authored by Qi Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Qi Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Ouyang

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Ouyang. A scholar is included among the top collaborators of Qi Ouyang 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 Qi Ouyang. Qi Ouyang 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.
Ouyang, Qi, et al.. (2025). Geometry of Optimal Control in Chemical Reaction Networks in the Adiabatic Limit. Physical Review Letters. 134(1). 18001–18001.
2.
Ouyang, Qi, Hao Zhou, Ze Yu, et al.. (2025). IKK/NF-κB Inactivation by Salidroside via Targeting TNF-α for the Treatment of LPS-Induced Colitis. Current Issues in Molecular Biology. 47(11). 896–896.
3.
Ouyang, Qi, et al.. (2025). Discovery of diverse and high-quality mRNA capping enzymes through a language model–enabled platform. Science Advances. 11(15). eadt0402–eadt0402. 3 indexed citations
4.
Cao, Yuansheng, et al.. (2025). Altruistic Resource-Sharing Mechanism for Synchronization: The Energy-Speed-Accuracy Trade-off. Physical Review Letters. 135(3). 37401–37401.
6.
Fei, Chenyi, et al.. (2024). Temperature compensation through kinetic regulation in biochemical oscillators. Proceedings of the National Academy of Sciences. 121(21). e2401567121–e2401567121. 3 indexed citations
7.
Shi, Jialin, Jian Xu, Shuangshuang Li, et al.. (2023). A Parallelable 3D Microfluidic Chip for Circulating‐Tumor‐Cell Capture at Ultra‐High Throughput and Wide Flow Rate Range. SHILAP Revista de lepidopterología. 3(5). 3 indexed citations
8.
Xu, Han, Daqi Yu, Zhaolong Wu, et al.. (2023). Determining subunit-subunit interaction from statistics of cryo-EM images: observation of nearest-neighbor coupling in a circadian clock protein complex. Nature Communications. 14(1). 5907–5907. 7 indexed citations
9.
Zhang, Chenghao, et al.. (2023). Free energy dissipation enhances spatial accuracy and robustness of self-positioned Turing pattern in small biochemical systems. Journal of The Royal Society Interface. 20(204). 20230276–20230276. 4 indexed citations
10.
Yu, Daqi, et al.. (2021). Structural study of the N-terminal domain of human MCM8/9 complex. Structure. 29(10). 1171–1181.e4. 6 indexed citations
11.
Liu, Jie, Sicong Zeng, Yang Wang, et al.. (2020). Essentiality of CTNNB1 in Malignant Transformation of Human Embryonic Stem Cells under Long-Term Suboptimal Conditions. Stem Cells International. 2020. 1–14. 3 indexed citations
12.
Si, Guangwei, et al.. (2019). Escape band in Escherichia coli chemotaxis in opposing attractant and nutrient gradients. Proceedings of the National Academy of Sciences. 116(6). 2253–2258. 23 indexed citations
13.
Hu, Liang, Juan Yu, Sicong Zeng, et al.. (2018). Generation of a luciferase-expressing human embryonic stem cell line: NERCe002-A-2. Stem Cell Research. 28. 172–176.
14.
Zhao, Hao, Yan Zhao, Zili Li, et al.. (2018). FLI1 and PKC co-activation promote highly efficient differentiation of human embryonic stem cells into endothelial-like cells. Cell Death and Disease. 9(2). 131–131. 11 indexed citations
15.
Wang, Yang, Juan Yu, Wen Li, et al.. (2018). Generation of a human embryonic stem cell line, NERCe003-A-1, with lentivirus vector-mediated inducible CTNNB1 overexpression. Stem Cell Research. 28. 61–65. 2 indexed citations
16.
Leng, Lizhi, Qi Ouyang, Fei Gong, et al.. (2017). Self-diploidization of human haploid parthenogenetic embryos through the Rho pathway regulates endomitosis and failed cytokinesis. Scientific Reports. 7(1). 4242–4242. 8 indexed citations
17.
Xie, Zhengwei, Tianyu Zhang, & Qi Ouyang. (2017). Genome-scale fluxes predicted under the guidance of enzyme abundance using a novel hyper-cube shrink algorithm. Bioinformatics. 34(3). 502–510. 1 indexed citations
18.
Li, Zhaojun, et al.. (2016). Singly Flagellated Pseudomonas aeruginosa Chemotaxes Efficiently by Unbiased Motor Regulation. mBio. 7(2). e00013–e00013. 31 indexed citations
19.
Zeng, Sicong, Yi Sun, Xiaoying Zhou, et al.. (2016). Generation of human embryonic stem cell line ch HES-472 from abnormal embryos diagnosed with Spinocerebellar ataxia type 3. Stem Cell Research. 17(3). 584–586. 3 indexed citations
20.
Sun, Yi, Xiaoying Zhou, Jing Chen, et al.. (2016). Generation of human embryonic stem cells from abnormal blastocyst diagnosed with albinism. Stem Cell Research. 17(3). 643–645. 1 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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