Qing Yuan

3.0k total citations
106 papers, 2.3k citations indexed

About

Qing Yuan is a scholar working on Molecular Biology, Materials Chemistry and Oncology. According to data from OpenAlex, Qing Yuan has authored 106 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 35 papers in Materials Chemistry and 18 papers in Oncology. Recurrent topics in Qing Yuan's work include Nanocluster Synthesis and Applications (20 papers), Advanced Nanomaterials in Catalysis (16 papers) and Advanced biosensing and bioanalysis techniques (15 papers). Qing Yuan is often cited by papers focused on Nanocluster Synthesis and Applications (20 papers), Advanced Nanomaterials in Catalysis (16 papers) and Advanced biosensing and bioanalysis techniques (15 papers). Qing Yuan collaborates with scholars based in China, United States and Germany. Qing Yuan's co-authors include Xueyun Gao, Liang Gao, Fuping Gao, Ru Liu, Yaling Wang, Lina Zhao, Pengju Cai, Zhiqiang Wei, Shugang Zhang and Mingjian Jiang and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Qing Yuan

102 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Yuan China 27 889 841 359 270 237 106 2.3k
Shuai Lü China 31 1.2k 1.4× 426 0.5× 171 0.5× 276 1.0× 41 0.2× 144 2.9k
Alessandra Corazza Italy 28 1.7k 1.9× 465 0.6× 98 0.3× 112 0.4× 52 0.2× 90 2.4k
Wenbin Zeng China 33 1.2k 1.3× 1.4k 1.6× 985 2.7× 256 0.9× 70 0.3× 166 3.5k
Hai‐Jing Zhong Macao 34 1.9k 2.1× 611 0.7× 393 1.1× 151 0.6× 155 0.7× 90 3.7k
Chaojie Wang China 35 2.3k 2.6× 609 0.7× 167 0.5× 138 0.5× 59 0.2× 183 4.1k
Min Ji China 29 1.5k 1.7× 299 0.4× 522 1.5× 122 0.5× 53 0.2× 138 3.0k
Michael Wagner Germany 30 936 1.1× 235 0.3× 198 0.6× 120 0.4× 62 0.3× 117 2.6k
Peisen Zhang China 27 879 1.0× 716 0.9× 1.1k 3.1× 94 0.3× 125 0.5× 96 2.6k
Yinghua Sun China 34 1.0k 1.2× 779 0.9× 1.6k 4.3× 64 0.2× 138 0.6× 116 4.4k
Jiyong Park South Korea 23 733 0.8× 574 0.7× 190 0.5× 102 0.4× 50 0.2× 74 2.1k

Countries citing papers authored by Qing Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Qing Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Yuan. A scholar is included among the top collaborators of Qing Yuan 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 Qing Yuan. Qing Yuan 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.
Yuan, Qing, et al.. (2025). DAGCAN: Decoupled Adaptive Graph Convolution Attention Network for Traffic Forecasting. IEEE Transactions on Intelligent Transportation Systems. 26(3). 3513–3526. 1 indexed citations
2.
3.
Zhang, Tong, Juan Yang, Bing Liang, et al.. (2024). Acorus tatarinowii alleviates D-galactose-induced Alzheimer’s-like disease cognitive impairment and Aβ-induced pericytes dysfunction in mice. Brain Research. 1847. 149312–149312. 3 indexed citations
4.
Ruan, Panpan, Xiuxiu Yao, Wencong Zhao, et al.. (2024). Targeted Gold Nanoclusters for Synergistic High-Risk Neuroblastoma Therapy through Noncanonical Ferroptosis. ACS Applied Materials & Interfaces. 16(40). 53555–53566. 1 indexed citations
5.
Cao, Lu, Yuying Li, Xiaojun Ren, et al.. (2024). A probe for NIR-II imaging and multimodal analysis of early Alzheimer’s disease by targeting CTGF. Nature Communications. 15(1). 5000–5000. 21 indexed citations
6.
Yuan, Qing, et al.. (2023). 1D Electronic Flat Bands in Untwisted Moiré Superlattices. Advanced Materials. 35(24). e2300572–e2300572. 11 indexed citations
7.
Yuan, Qing, et al.. (2023). Achieving a Large Energy Gap in Bi(110) Atomically Thin Films. SHILAP Revista de lepidopterología. 4(12). 1 indexed citations
8.
Tan, Wei, Cong Wang, Qing Yuan, et al.. (2023). Room-temperature ferromagnetism in Fe-doped SnSe bulk single crystalline semiconductor. Materials Today Physics. 38. 101251–101251. 5 indexed citations
9.
Zhang, Yunjiang, et al.. (2023). Universal Approach to De Novo Drug Design for Target Proteins Using Deep Reinforcement Learning. ACS Omega. 8(6). 5464–5474. 16 indexed citations
10.
Li, Han, Jiaojiao Li, Meng Wang, et al.. (2022). Clusterbody Enables Flow Sorting-Assisted Single-Cell Mass Spectrometry Analysis for Identifying Reversal Agent of Chemoresistance. Analytical Chemistry. 95(2). 560–564. 4 indexed citations
11.
Yu, Jiantao, Lingjun Zhang, Yanhan Chen, et al.. (2022). Inhibitory effect of ficin on Candida albicans biofilm formation and pre-formed biofilms. BMC Oral Health. 22(1). 350–350. 15 indexed citations
12.
Liu, Shuwen, Yuanyuan Chen, Tianming Du, et al.. (2022). A dimer-monomer transition captured by the crystal structures of cyanobacterial apo flavodoxin. Biochemical and Biophysical Research Communications. 639. 134–141. 1 indexed citations
13.
Zhang, Tong, Wenjie Liu, Jin Sun, et al.. (2022). Components of Salvia miltiorrhiza and Panax notoginseng Protect Pericytes Against OGD/R-Induced Injury via Regulating the PI3K/AKT/mTOR and JNK/ERK/P38 Signaling Pathways. Journal of Molecular Neuroscience. 72(12). 2377–2388. 13 indexed citations
14.
15.
Cao, Lu, Liang Gao, Kai Cao, et al.. (2021). Gold Cluster Capped with a BCL-2 Antagonistic Peptide Exerts Synergistic Antitumor Activity in Chronic Lymphocytic Leukemia Cells. ACS Applied Materials & Interfaces. 13(18). 21108–21118. 11 indexed citations
16.
Li, Jiao Jiao, Xiangchun Zhang, Fuping Gao, et al.. (2021). Catalytic Clusterbody for Enhanced Quantitative Protein Immunoblot. Analytical Chemistry. 93(31). 10807–10815. 13 indexed citations
17.
Han, Ying, Cuicui Qiu, Jiaojiao Li, et al.. (2021). Metal Cluster-Based Electrochemical Biosensing System for Detecting Epithelial-to-Mesenchymal Transition. ACS Sensors. 6(6). 2290–2298. 15 indexed citations
18.
Gao, Liang, Lina Zhao, Wenchao Niu, et al.. (2020). An artificial metalloenzyme for catalytic cancer-specific DNA cleavage and operando imaging. Science Advances. 6(29). eabb1421–eabb1421. 76 indexed citations
19.
Du, Xue, Qing Yuan, Ye Qu, Yuan Zhou, & Bei Jia. (2015). Endometrial Mesenchymal Stem Cells Isolated from Menstrual Blood by Adherence. Stem Cells International. 2016(1). 3573846–3573846. 43 indexed citations
20.
Yuan, Qing, Huifang Chen, Xueyan Zheng, et al.. (2014). The association between C-159T polymorphism in CD14 gene and susceptibility to tuberculosis: a meta-analysis. Molecular Biology Reports. 41(11). 7623–7629. 6 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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