Feng Shen

3.8k total citations · 2 hit papers
64 papers, 3.1k citations indexed

About

Feng Shen is a scholar working on Biomedical Engineering, Molecular Biology and Cancer Research. According to data from OpenAlex, Feng Shen has authored 64 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Biomedical Engineering, 31 papers in Molecular Biology and 8 papers in Cancer Research. Recurrent topics in Feng Shen's work include Innovative Microfluidic and Catalytic Techniques Innovation (22 papers), Biosensors and Analytical Detection (19 papers) and Microfluidic and Capillary Electrophoresis Applications (14 papers). Feng Shen is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (22 papers), Biosensors and Analytical Detection (19 papers) and Microfluidic and Capillary Electrophoresis Applications (14 papers). Feng Shen collaborates with scholars based in China, United States and France. Feng Shen's co-authors include Rustem F. Ismagilov, Wenbin Du, Jason E. Kreutz, Wenjin Ding, Jian‐Gao Fan, Elena K. Davydova, Rui-dan Zheng, Xiaoying Wang, Christian J. Kastrup and Qin Pan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Feng Shen

62 papers receiving 3.0k citations

Hit Papers

Gut microbiota dysbiosis in patients with non-alcoholic f... 2017 2026 2020 2023 2017 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Shen China 26 1.6k 1.4k 548 342 326 64 3.1k
Gerard Bruin Switzerland 25 491 0.3× 1.6k 1.1× 308 0.6× 403 1.2× 186 0.6× 59 3.9k
Kevin Dhaliwal United Kingdom 29 941 0.6× 699 0.5× 415 0.8× 102 0.3× 102 0.3× 146 3.4k
Nattiya Hirankarn Thailand 33 1.5k 0.9× 376 0.3× 535 1.0× 49 0.1× 186 0.6× 175 4.2k
Yohan Kim United States 35 1.1k 0.7× 1.2k 0.9× 500 0.9× 38 0.1× 102 0.3× 141 3.8k
Kevin R. King United States 26 1.8k 1.1× 1.0k 0.7× 209 0.4× 74 0.2× 58 0.2× 61 3.3k
Leo Li‐Ying Chan United States 25 765 0.5× 615 0.4× 150 0.3× 257 0.8× 65 0.2× 92 1.9k
Enrico Lugli Italy 36 1.6k 1.0× 362 0.3× 739 1.3× 132 0.4× 155 0.5× 75 6.6k
Pisit Tangkijvanich Thailand 35 1.6k 1.0× 390 0.3× 2.5k 4.5× 114 0.3× 114 0.3× 265 5.1k
Dipankar Nandi India 31 1.7k 1.0× 341 0.2× 478 0.9× 34 0.1× 178 0.5× 126 3.8k

Countries citing papers authored by Feng Shen

Since Specialization
Citations

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

Fields of papers citing papers by Feng Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Shen. A scholar is included among the top collaborators of Feng Shen 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 Feng Shen. Feng Shen 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.
Wang, Meng‐Ru, Xiang Li, Lei Xu, et al.. (2025). Rapid High‐Throughput Discovery of Molecules With Antimicrobial Activity From Natural Products Enabled by a Nanoliter Matrix SlipChip. Small Methods. 9(4). e2402045–e2402045. 3 indexed citations
2.
Zhang, Yutong, Jingwei Yi, Guo Qingsheng, et al.. (2025). Barcode-Based SlipChip for High-Multiplexed and Trace Sample Digital Quantification with Femtomolar Sensitivity. ACS Sensors. 11(1). 74–85.
3.
Luo, Qingqing, et al.. (2025). Digital Bioassays on the Slipchip Microfluidic Devices. Advanced Sensor Research. 4(9). 2 indexed citations
4.
5.
Wang, Qi, Xiang Li, Xu Lei, et al.. (2024). Rapid and precise treatment selection for antimicrobial-resistant infection enabled by a nano-dilution SlipChip. Biosensors and Bioelectronics. 271. 117084–117084. 2 indexed citations
6.
Luo, Yang, Nan Shen, Lei Xu, et al.. (2024). Multiplex Digital Nucleic Acid Analysis by a LAMP–Argonaute Coupling Assay via a Parallel Droplet Fusion SlipChip. Analytical Chemistry. 97(1). 731–740. 11 indexed citations
7.
Li, Xiang, et al.. (2023). Rapid Bacteriophage Quantification by Digital Biosensing on a SlipChip Microfluidic Device. Analytical Chemistry. 95(22). 8632–8639. 6 indexed citations
8.
Yi, Jingwei, Qingsheng Guo, Yao Wang, et al.. (2023). Multiplex Digital Immunoassays with Reduced Pre-partition Reaction via Massively Parallel Reagent Delivery on a Bead-Based SlipChip. ACS Nano. 17(13). 12641–12651. 19 indexed citations
9.
Li, Xiang, Nannan Wu, Yang Luo, et al.. (2022). Formation and Parallel Manipulation of Gradient Droplets on a Self-Partitioning SlipChip for Phenotypic Antimicrobial Susceptibility Testing. ACS Sensors. 7(7). 1977–1984. 18 indexed citations
10.
Yu, Ziqing, et al.. (2022). Parallel multistep digital analysis SlipChip demonstrated with the quantification of nucleic acid by digital LAMP-CRISPR. Lab on a Chip. 22(16). 2954–2961. 33 indexed citations
11.
Kanwal, Fariha, et al.. (2022). Multiplex Digital Polymerase Chain Reaction on a Droplet Array SlipChip for Analysis of KRAS Mutations in Pancreatic Cancer. ACS Sensors. 8(1). 114–121. 10 indexed citations
12.
Li, Xiang, Xu Liu, Ziqing Yu, et al.. (2022). Combinatorial screening SlipChip for rapid phenotypic antimicrobial susceptibility testing. Lab on a Chip. 22(20). 3952–3960. 19 indexed citations
13.
He, Chang, et al.. (2022). Five-dimensional unclonable anticounterfeiting orthogonal Raman labels. Journal of Materials Chemistry C. 10(18). 7273–7282. 29 indexed citations
14.
Yu, Yan, Ziqing Yu, Xufeng Pan, et al.. (2022). Multiplex digital PCR with digital melting curve analysis on a self-partitioning SlipChip. The Analyst. 147(4). 625–633. 28 indexed citations
15.
Zhang, Jiajie, et al.. (2021). Slip formation of a high-density droplet array for nucleic acid quantification by digital LAMP with a random-access system. Lab on a Chip. 21(16). 3086–3093. 35 indexed citations
16.
Gu, Chang, Xin Shi, Chenyang Dai, et al.. (2020). RNA m6A Modification in Cancers: Molecular Mechanisms and Potential Clinical Applications. The Innovation. 1(3). 100066–100066. 93 indexed citations
17.
Yu, Mengchao, Xiaoying Chen, Haijun Qu, et al.. (2019). Multistep SlipChip for the Generation of Serial Dilution Nanoliter Arrays and Hepatitis B Viral Load Quantification by Digital Loop Mediated Isothermal Amplification. Analytical Chemistry. 91(14). 8751–8755. 40 indexed citations
18.
Yu, Mengchao, et al.. (2019). Advances in Microfluidics‐Based Technologies for Single Cell Culture. Advanced Biosystems. 3(11). e1900003–e1900003. 21 indexed citations
19.
Yu, Mengchao, et al.. (2019). Slip-driven microfluidic devices for nucleic acid analysis. Biomicrofluidics. 13(4). 41502–41502. 17 indexed citations
20.
Yu, Mengchao, et al.. (2019). Slip Molding for Precision Fabrication of Microparts. Langmuir. 36(2). 585–590. 5 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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