Quan Qing

6.0k total citations · 3 hit papers
48 papers, 4.9k citations indexed

About

Quan Qing is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Quan Qing has authored 48 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 22 papers in Electrical and Electronic Engineering and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Quan Qing's work include Neuroscience and Neural Engineering (16 papers), Nanowire Synthesis and Applications (11 papers) and Advanced Memory and Neural Computing (8 papers). Quan Qing is often cited by papers focused on Neuroscience and Neural Engineering (16 papers), Nanowire Synthesis and Applications (11 papers) and Advanced Memory and Neural Computing (8 papers). Quan Qing collaborates with scholars based in United States, China and Singapore. Quan Qing's co-authors include Charles M. Lieber, Tzahi Cohen‐Karni, Bozhi Tian, Ping Xie, Xiaojie Duan, Zhongfan Liu, Yanlian Yang, Xinyong Guo, Qingwen Li and Zuliang Du and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Quan Qing

46 papers receiving 4.8k citations

Hit Papers

Effect of Chemical Oxidation on the Structure of Single-W... 2003 2026 2010 2018 2003 2010 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quan Qing United States 24 2.7k 1.9k 1.6k 1.3k 615 48 4.9k
Brian P. Timko United States 22 3.1k 1.2× 1.4k 0.7× 1.2k 0.8× 1.1k 0.9× 623 1.0× 34 5.0k
Tzahi Cohen‐Karni United States 26 2.1k 0.8× 1.4k 0.7× 916 0.6× 1.5k 1.2× 426 0.7× 55 3.5k
Simon E. Moulton Australia 44 3.4k 1.3× 1.5k 0.8× 1.3k 0.8× 1.1k 0.8× 704 1.1× 150 6.4k
David A. LaVan United States 29 2.9k 1.1× 1.5k 0.8× 1.5k 0.9× 495 0.4× 1.4k 2.2× 93 6.2k
Chong Xie China 42 2.0k 0.7× 2.8k 1.5× 1.2k 0.7× 2.5k 1.9× 363 0.6× 116 6.0k
Guosheng Cheng China 37 3.0k 1.1× 2.2k 1.2× 3.5k 2.1× 661 0.5× 708 1.2× 96 6.4k
G. Kane Jennings United States 36 982 0.4× 2.5k 1.3× 2.1k 1.3× 615 0.5× 1.3k 2.2× 121 5.3k
Xing Sheng China 36 2.0k 0.7× 1.9k 1.0× 979 0.6× 825 0.6× 162 0.3× 119 4.1k
Seunghun Hong South Korea 45 4.4k 1.7× 3.6k 1.9× 2.7k 1.7× 764 0.6× 1.2k 1.9× 190 8.3k
Michael J. Higgins Australia 38 1.9k 0.7× 646 0.3× 589 0.4× 615 0.5× 628 1.0× 105 4.3k

Countries citing papers authored by Quan Qing

Since Specialization
Citations

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

Fields of papers citing papers by Quan Qing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Qing

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Qing. A scholar is included among the top collaborators of Quan 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 Quan Qing. Quan 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
2.
Li, Houpu, Kan Zhu, Liang Guo, et al.. (2024). Electric field modulation of ERK dynamics shows dependency on waveform and timing. Scientific Reports. 14(1). 3167–3167. 7 indexed citations
3.
Miao, Yuchuan, Matt J. Hourwitz, Quan Qing, et al.. (2023). Nanotopography modulates intracellular excitable systems through cytoskeleton actuation. Proceedings of the National Academy of Sciences. 120(19). e2218906120–e2218906120. 13 indexed citations
4.
5.
Wang, Yuan, et al.. (2021). Nanopore chip with self-aligned transverse tunneling junction for DNA detection. Biosensors and Bioelectronics. 193. 113552–113552. 5 indexed citations
6.
Zhu, Kan, Michael Pargett, Quan Qing, et al.. (2021). Electrically synchronizing and modulating the dynamics of ERK activation to regulate cell fate. iScience. 24(11). 103240–103240. 8 indexed citations
7.
Zhang, Yanjing, Quan Qing, Yajing Zhang, et al.. (2019). Enhancement of tenogenic differentiation of rat tendon‐derived stem cells by biglycan. Journal of Cellular Physiology. 234(9). 15898–15910. 16 indexed citations
8.
Li, Houpu, et al.. (2019). Controlling ERK Activation Dynamics in Mammary Epithelial Cells with Alternating Electric Fields through Microelectrodes. Nano Letters. 19(10). 7526–7533. 7 indexed citations
9.
Wang, Yuan, et al.. (2017). Confined Electrochemical Deposition in Sub-15 nm Space for Preparing Nanogap Electrodes. ECS Transactions. 77(7). 65–72. 4 indexed citations
10.
Ning, Liang‐Ju, Yajing Zhang, Yi Zhang, et al.. (2015). The utilization of decellularized tendon slices to provide an inductive microenvironment for the proliferation and tenogenic differentiation of stem cells. Biomaterials. 52. 539–550. 86 indexed citations
11.
Qu, Yanhua, Shilin Tian, Naijian Han, et al.. (2015). Genetic responses to seasonal variation in altitudinal stress: whole-genome resequencing of great tit in eastern Himalayas. Scientific Reports. 5(1). 14256–14256. 29 indexed citations
12.
Liu, Jia, Tal Dvir, Lihua Jin, et al.. (2012). Macroporous Nanowire Nanoelectronic Scaffolds for Synthetic Tissues. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 508 indexed citations breakdown →
13.
Tian, Bozhi, Jia Liu, Tal Dvir, et al.. (2012). Macroporous nanowire nanoelectronic scaffolds for synthetic tissues. Nature Materials. 11(11). 986–994. 13 indexed citations
14.
Xu, Lin, Zhe Jiang, Quan Qing, et al.. (2012). Design and Synthesis of Diverse Functional Kinked Nanowire Structures for Nanoelectronic Bioprobes. Nano Letters. 13(2). 746–751. 83 indexed citations
15.
Gao, Ruixuan, Steffen Strehle, Bozhi Tian, et al.. (2012). Outside Looking In: Nanotube Transistor Intracellular Sensors. Nano Letters. 12(6). 3329–3333. 92 indexed citations
16.
Duan, Xiaojie, Ruixuan Gao, Ping Xie, et al.. (2011). Intracellular recordings of action potentials by an extracellular nanoscale field-effect transistor. Nature Nanotechnology. 7(3). 174–179. 365 indexed citations
17.
Xie, Ping, Qihua Xiong, Ying Fang, Quan Qing, & Charles M. Lieber. (2011). Local electrical potential detection of DNA by nanowire–nanopore sensors. Nature Nanotechnology. 7(2). 119–125. 264 indexed citations
18.
Chen, Fang, Quan Qing, Jilin Xia, & Nongjian Tao. (2010). Graphene Field‐Effect Transistors: Electrochemical Gating, Interfacial Capacitance, and Biosensing Applications. Chemistry - An Asian Journal. 5(10). 2144–2153. 62 indexed citations
19.
Timko, Brian P., Tzahi Cohen‐Karni, Quan Qing, Bozhi Tian, & Charles M. Lieber. (2009). Design and Implementation of Functional Nanoelectronic Interfaces With Biomolecules, Cells, and Tissue Using Nanowire Device Arrays. IEEE Transactions on Nanotechnology. 9(3). 269–280. 76 indexed citations
20.
Chen, Fang, Quan Qing, Liang Ren, et al.. (2006). Formation of nanogaps by nanoscale Cu electrodeposition and dissolution. Electrochimica Acta. 52(12). 4210–4214. 7 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