Runtao Zhong

423 total citations
18 papers, 331 citations indexed

About

Runtao Zhong is a scholar working on Biomedical Engineering, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Runtao Zhong has authored 18 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 6 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Runtao Zhong's work include Innovative Microfluidic and Catalytic Techniques Innovation (11 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers) and Microfluidic and Bio-sensing Technologies (6 papers). Runtao Zhong is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (11 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers) and Microfluidic and Bio-sensing Technologies (6 papers). Runtao Zhong collaborates with scholars based in China, Japan and United States. Runtao Zhong's co-authors include Bingcheng Lin, Dayu Liu, Xiaomian Zhou, Zhongpeng Dai, Nannan Ye, Jianhua Qin, Bingcheng Lin, Yuguang Du, Hui Wang and Xianming Liu and has published in prestigious journals such as Lab on a Chip, RSC Advances and The Analyst.

In The Last Decade

Runtao Zhong

16 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runtao Zhong China 9 280 77 47 18 12 18 331
Ambra Vestri Italy 11 145 0.5× 160 2.1× 24 0.5× 12 0.7× 10 0.8× 21 325
Sung-Yi Yang Taiwan 6 331 1.2× 97 1.3× 105 2.2× 23 1.3× 6 0.5× 14 406
Xing Xu China 9 263 0.9× 185 2.4× 133 2.8× 13 0.7× 15 1.3× 21 376
Sara Thorslund Sweden 11 382 1.4× 63 0.8× 100 2.1× 5 0.3× 9 0.8× 13 422
Venkata Yelleswarapu United States 6 317 1.1× 178 2.3× 116 2.5× 20 1.1× 8 0.7× 8 409
Victor Vai Tak Wong Singapore 12 109 0.4× 194 2.5× 27 0.6× 10 0.6× 7 0.6× 15 380
Quansheng Cheng Macao 8 177 0.6× 105 1.4× 25 0.5× 12 0.7× 7 0.6× 15 313
Jens H. Vogel United States 8 135 0.5× 226 2.9× 16 0.3× 6 0.3× 6 0.5× 10 281
Dongya Cui China 5 209 0.7× 126 1.6× 63 1.3× 6 0.3× 2 0.2× 10 366
Hoyoung Yun South Korea 10 293 1.0× 47 0.6× 90 1.9× 4 0.2× 8 0.7× 18 337

Countries citing papers authored by Runtao Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Runtao Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runtao Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Runtao Zhong. A scholar is included among the top collaborators of Runtao Zhong 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 Runtao Zhong. Runtao Zhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Li, Shengyang, Han Wang, Rong Yang, et al.. (2025). Pose estimation and tracking dataset for multi-animal behavior analysis on the China Space Station. Scientific Data. 12(1). 766–766.
2.
Zhong, Runtao, Kexin Chen, Liang Zheng, et al.. (2024). WormSpace μ-TAS enabling automated on-chip multi-strain culturing and multi-function imaging of Caenorhabditis elegans at the single-worm level on the China Space Station. Lab on a Chip. 24(14). 3388–3402. 1 indexed citations
3.
Zhong, Runtao, Mengyu Wang, & Bingcheng Lin. (2023). Automated and parallel microfluidic DNA extraction with integrated pneumatic microvalves/pumps and reusable open‐channel columns. Electrophoresis. 44(9-10). 825–834. 3 indexed citations
4.
Zhong, Runtao, Shilin Liu, Guohao Zhang, Mengyu Wang, & Yeqing Sun. (2020). iso-μmGene: an isothermal amplification-based portable microfluidic system for simple, reliable and flexibly multiplexed genetic identification and quantification. The Analyst. 145(13). 4627–4636. 7 indexed citations
5.
Zhong, Runtao, Shilin Liu, Xiaohui Wang, et al.. (2020). A real-time isothermal amplification based portable microfluidic system for simple and reliable detection of Vibrio splendidus. Analytical Methods. 12(23). 2985–2994. 7 indexed citations
6.
Zhong, Runtao, Yingbo Zhao, Tianle Wang, et al.. (2020). A 3D mixing-based portable magnetic device for fully automatic immunofluorescence staining of γ-H2AX in UVC-irradiated CD4+ cells. RSC Advances. 10(49). 29311–29319.
7.
An, Fan, Yueyang Qu, Xianming Liu, Runtao Zhong, & Yong Luo. (2015). Organ-on-a-Chip: New Platform for Biological Analysis. PubMed. 10. ACI.S28905–ACI.S28905. 41 indexed citations
8.
Song, Kui, Guoqing Hu, Xiao Hu, et al.. (2015). Encoding and controlling of two droplet trains in a microfluidic network with the loop-like structure. Microfluidics and Nanofluidics. 19(6). 1363–1375. 3 indexed citations
9.
Liu, Xianming, Runtao Zhong, Kaiqing Zhang, et al.. (2013). A rapid, straightforward, and print house compatible mass fabrication method for integrating 3D paper‐based microfluidics. Electrophoresis. 34(20-21). 3003–3007. 15 indexed citations
10.
Zhong, Runtao, et al.. (2012). Automatic extraction and processing of small RNAs on a multi-well/multi-channel (M&M) chip. The Analyst. 137(23). 5546–5552. 6 indexed citations
11.
Zhong, Runtao, Xiaoyan Pan, Lei Jiang, et al.. (2009). Simply and reliably integrating micro heaters/sensors in a monolithic PCR‐CE microfluidic genetic analysis system. Electrophoresis. 30(8). 1297–1305. 25 indexed citations
12.
Gao, Yan, Runtao Zhong, Jianhua Qin, & Bingcheng Lin. (2009). An Immobilized Lipase Microfluidic Reactor for Enantioselective Hydrolysis of Ester. Chemistry Letters. 38(3). 262–263. 5 indexed citations
13.
Xie, Hua, et al.. (2008). Microfluidic device for integrated restriction digestion reaction and resulting DNA fragment analysis. Electrophoresis. 29(24). 4956–4963. 12 indexed citations
14.
Zhong, Runtao, Dayu Liu, Linfen Yu, et al.. (2007). Fabrication of two‐weir structure‐based packed columns for on‐chip solid‐phase extraction of DNA. Electrophoresis. 28(16). 2920–2926. 26 indexed citations
15.
Liu, Dayu, Lihui Wang, Runtao Zhong, et al.. (2007). Parallel microfluidic networks for studying cellular response to chemical modulation. Journal of Biotechnology. 131(3). 286–292. 39 indexed citations
16.
Liu, Dayu, Xiaomian Zhou, Runtao Zhong, et al.. (2005). Analysis of multiplex PCR fragments with PMMA microchip. Talanta. 68(3). 616–622. 34 indexed citations
17.
Zhou, Xiaomian, Dayu Liu, Runtao Zhong, et al.. (2004). Determination of SARS‐coronavirus by a microfluidic chip system. Electrophoresis. 25(17). 3032–3039. 83 indexed citations
18.
Zhou, Xiaomian, Shujuan Shao, Runtao Zhong, et al.. (2004). Highly sensitive determination of the methylated p16 gene in cancer patients by microchip electrophoresis. Journal of Chromatography B. 816(1-2). 145–151. 24 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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