Rui Qing

1.4k total citations
49 papers, 919 citations indexed

About

Rui Qing is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rui Qing has authored 49 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rui Qing's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Dyeing and Modifying Textile Fibers (7 papers) and Silk-based biomaterials and applications (6 papers). Rui Qing is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Dyeing and Modifying Textile Fibers (7 papers) and Silk-based biomaterials and applications (6 papers). Rui Qing collaborates with scholars based in China, United States and Norway. Rui Qing's co-authors include Shilei Hao, Shuguang Zhang, David Jin, Eva Smorodina, Wolfgang M. Sigmund, Arthur O. Zalevsky, Bochu Wang, Jia Deng, Fei Tao and Yumei Wang and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Rui Qing

46 papers receiving 909 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rui Qing China 18 420 151 96 94 71 49 919
Ana Loureiro Portugal 20 305 0.7× 290 1.9× 161 1.7× 25 0.3× 67 0.9× 35 887
Kyoung‐Chan Park South Korea 23 228 0.5× 59 0.4× 146 1.5× 125 1.3× 16 0.2× 64 1.4k
Guangyan Zhang China 17 270 0.6× 161 1.1× 122 1.3× 16 0.2× 19 0.3× 79 791
Yanli Ma China 20 642 1.5× 90 0.6× 264 2.8× 66 0.7× 12 0.2× 58 1.2k
Nina Otberg Germany 25 240 0.6× 85 0.6× 203 2.1× 15 0.2× 37 0.5× 41 3.0k
Heewon Seo South Korea 17 233 0.6× 66 0.4× 192 2.0× 116 1.2× 14 0.2× 38 993
Di Jiang China 21 557 1.3× 219 1.5× 435 4.5× 123 1.3× 13 0.2× 79 1.4k
Song Ding China 17 282 0.7× 116 0.8× 116 1.2× 49 0.5× 16 0.2× 51 672
Ke Han China 14 250 0.6× 186 1.2× 68 0.7× 29 0.3× 10 0.1× 56 997
U. Jacobi Germany 25 153 0.4× 52 0.3× 147 1.5× 14 0.1× 27 0.4× 37 2.2k

Countries citing papers authored by Rui Qing

Since Specialization
Citations

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

Fields of papers citing papers by Rui Qing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Qing

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Qing. A scholar is included among the top collaborators of Rui Qing 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 Rui Qing. Rui Qing 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.
Hao, Shilei, Lili Wang, Run Meng, et al.. (2025). Inhibiting cancer metastasis with water-solubilized membrane receptor CXCR4QTY-Fc as a molecular trap. Cell chemical biology. 32(8). 1058–1074.e6.
2.
Smorodina, Eva, et al.. (2024). Computational engineering of water-soluble human potassium ion channels through QTY transformation. Scientific Reports. 14(1). 28159–28159. 2 indexed citations
3.
4.
Li, Mengke, Hongzhi Tang, Rui Qing, et al.. (2024). Design of a water-soluble transmembrane receptor kinase with intact molecular function by QTY code. Nature Communications. 15(1). 4293–4293. 5 indexed citations
5.
Wang, Lili, et al.. (2024). Engineered keratin/bFGF hydrogel to promote diabetic wound healing in rats. International Journal of Biological Macromolecules. 261(Pt 1). 129725–129725. 12 indexed citations
6.
Qing, Rui, Mantian Xue, Jiayuan Zhao, et al.. (2023). Scalable biomimetic sensing system with membrane receptor dual-monolayer probe and graphene transistor arrays. Science Advances. 9(29). eadf1402–eadf1402. 23 indexed citations
7.
Li, Mengke, Rui Qing, Fei Tao, Ping Xu, & Shuguang Zhang. (2023). Dynamic Dimerization of Chemokine Receptors and Potential Inhibitory Role of Their Truncated Isoforms Revealed through Combinatorial Prediction. International Journal of Molecular Sciences. 24(22). 16266–16266. 2 indexed citations
8.
Liu, Wenjie, Lili Wang, Run Meng, et al.. (2023). Photopolymerized keratin-PGLa hydrogels for antibiotic resistance reversal and enhancement of infectious wound healing. Materials Today Bio. 23. 100807–100807. 13 indexed citations
9.
Li, Mengke, Rui Qing, Fei Tao, Ping Xu, & Shuguang Zhang. (2023). Inhibitory effect of truncated isoforms on GPCR dimerization predicted by combinatorial computational strategy. Computational and Structural Biotechnology Journal. 23. 278–286. 4 indexed citations
10.
11.
Chatterjee, Pranam, Noah Jakimo, Jooyoung Lee, et al.. (2020). An engineered ScCas9 with broad PAM range and high specificity and activity. Nature Biotechnology. 38(10). 1154–1158. 93 indexed citations
12.
Chatterjee, Pranam, Noah Jakimo, Jooyoung Lee, et al.. (2020). Publisher Correction: An engineered ScCas9 with broad PAM range and high specificity and activity. Nature Biotechnology. 38(10). 1212–1212. 2 indexed citations
13.
Hao, Shilei, David Jin, Shuguang Zhang, & Rui Qing. (2020). QTY Code-designed Water-soluble Fc-fusion Cytokine Receptors Bind to their Respective Ligands. SHILAP Revista de lepidopterología. 1. e4–e4. 26 indexed citations
14.
Qing, Rui, Fei Tao, Pranam Chatterjee, et al.. (2020). Non-full-length Water-Soluble CXCR4QTY and CCR5QTY Chemokine Receptors: Implication for Overlooked Truncated but Functional Membrane Receptors. iScience. 23(12). 101670–101670. 20 indexed citations
15.
Gong, Yuhua, Yumei Wang, Qing Qu, et al.. (2020). Nanoparticle encapsulated core-shell hydrogel for on-site BMSCs delivery protects from iron overload and enhances functional recovery. Journal of Controlled Release. 320. 381–391. 42 indexed citations
16.
Yang, Xiuying, Jia Song, Rui Qing, et al.. (2020). Rhein-PEG-nHA conjugate as a bone targeted drug delivery vehicle for enhanced cancer chemoradiotherapy. Nanomedicine Nanotechnology Biology and Medicine. 27. 102196–102196. 17 indexed citations
17.
Chen, Min, Yufeng Jiang, Nannan Zhang, et al.. (2017). Association between chemokine CXC ligand 12 gene polymorphism (rs1746048) and coronary heart disease. Medicine. 96(24). e7179–e7179. 2 indexed citations
18.
Qing, Rui, et al.. (2017). Dopamine versus norepinephrine in the treatment of cardiogenic shock. Medicine. 96(43). e8402–e8402. 29 indexed citations
19.
Zhou, Yafeng, Jialu Yao, Si-Jia Sun, et al.. (2017). Apolipoprotein A1 polymorphisms and risk of coronary artery disease: a meta-analysis. Archives of Medical Science. 4(4). 813–819. 19 indexed citations
20.
Jiang, Yufeng, Min Chen, Nannan Zhang, et al.. (2017). Association between KCNE1 G38S gene polymorphism and risk of atrial fibrillation. Medicine. 96(25). e7253–e7253. 4 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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