Steve C. C. Shih

1.5k total citations
41 papers, 1.1k citations indexed

About

Steve C. C. Shih is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Steve C. C. Shih has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 25 papers in Electrical and Electronic Engineering and 14 papers in Molecular Biology. Recurrent topics in Steve C. C. Shih's work include Electrowetting and Microfluidic Technologies (23 papers), Innovative Microfluidic and Catalytic Techniques Innovation (19 papers) and Microfluidic and Capillary Electrophoresis Applications (16 papers). Steve C. C. Shih is often cited by papers focused on Electrowetting and Microfluidic Technologies (23 papers), Innovative Microfluidic and Catalytic Techniques Innovation (19 papers) and Microfluidic and Capillary Electrophoresis Applications (16 papers). Steve C. C. Shih collaborates with scholars based in Canada, United States and Australia. Steve C. C. Shih's co-authors include Aaron R. Wheeler, Ryan Fobel, Fatemeh Ahmadi, Anup K. Singh, Paul D. Adams, Sam H. Au, Irena Barbulovic-Nad, Mais J. Jebrail, Philip C. Gach and Jay D. Keasling and has published in prestigious journals such as Energy & Environmental Science, The Journal of Immunology and Analytical Chemistry.

In The Last Decade

Steve C. C. Shih

39 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve C. C. Shih Canada 19 926 634 229 121 64 41 1.1k
Ansgar Huebner United Kingdom 8 1.4k 1.5× 784 1.2× 213 0.9× 33 0.3× 14 0.2× 8 1.5k
Xingrui Li China 19 559 0.6× 106 0.2× 537 2.3× 73 0.6× 197 3.1× 43 1.0k
Song‐I Han United States 15 718 0.8× 287 0.5× 93 0.4× 21 0.2× 56 0.9× 32 823
Sung Hwan Cho South Korea 17 392 0.4× 561 0.9× 169 0.7× 11 0.1× 53 0.8× 48 933
Yufei Yang China 17 165 0.2× 354 0.6× 209 0.9× 66 0.5× 51 0.8× 38 935
Yongxiang Feng China 17 604 0.7× 245 0.4× 131 0.6× 45 0.4× 9 0.1× 32 803
Stanislav Tsitkov United States 7 205 0.2× 136 0.2× 346 1.5× 41 0.3× 22 0.3× 15 632
Zachary Gagnon United States 18 842 0.9× 436 0.7× 107 0.5× 19 0.2× 21 0.3× 34 1.0k
Louis Renaud France 19 393 0.4× 411 0.6× 145 0.6× 21 0.2× 41 0.6× 38 775
Yao Wu China 12 178 0.2× 224 0.4× 123 0.5× 24 0.2× 97 1.5× 20 514

Countries citing papers authored by Steve C. C. Shih

Since Specialization
Citations

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

Fields of papers citing papers by Steve C. C. Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve C. C. Shih. 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 Steve C. C. Shih. The network helps show where Steve C. C. Shih may publish in the future.

Co-authorship network of co-authors of Steve C. C. Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Steve C. C. Shih. A scholar is included among the top collaborators of Steve C. C. Shih 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 Steve C. C. Shih. Steve C. C. Shih 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.
Kargar, Mona, et al.. (2025). Modulatory effects of M3 muscarinic acetylcholine receptor on inflammatory profiles of human memory T helper cells. The Journal of Immunology. 214(9). 2244–2255. 1 indexed citations
2.
Darlington, Peter J., et al.. (2025). A Digital Microfluidic Platform for the Microscale Production of Functional Immune Cell Therapies. Analytical Chemistry. 97(21). 11026–11034. 1 indexed citations
3.
Patel, Mayur M., Brittany P. Boribong, Bin Xiao, et al.. (2025). Miniaturized scalable arrayed CRISPR screening in primary cells enables discovery at the single donor resolution. Scientific Reports. 15(1). 29350–29350.
4.
5.
Shih, Steve C. C., et al.. (2024). A Microfluidic Multiplex Sorter for Strain Development. Advanced Materials Technologies. 10(6). 1 indexed citations
6.
Ahmadi, Fatemeh, et al.. (2024). An Automated Single‐Cell Droplet‐Digital Microfluidic Platform for Monoclonal Antibody Discovery. Small. 20(26). e2308950–e2308950. 14 indexed citations
7.
Darlington, Peter J., et al.. (2023). A Tri‐Droplet Liquid Structure for Highly Efficient Intracellular Delivery in Primary Mammalian Cells Using Digital Microfluidics. Advanced Materials Technologies. 8(21). 9 indexed citations
8.
Kékedy‐Nagy, László, et al.. (2022). An electrochemical aptasensor for Δ9-tetrahydrocannabinol detection in saliva on a microfluidic platform. Biosensors and Bioelectronics. 222. 114998–114998. 11 indexed citations
9.
Shih, Steve C. C., et al.. (2022). A Synthetic Biosensor for Detecting Putrescine in Beef Samples. ACS Applied Bio Materials. 5(11). 5487–5496. 11 indexed citations
10.
Ahmadi, Fatemeh, et al.. (2020). One Cell, One Drop, One Click: Hybrid Microfluidics for Mammalian Single Cell Isolation. Small. 16(34). e2002400–e2002400. 28 indexed citations
11.
Ahmadi, Fatemeh, et al.. (2020). Is microfluidics the “assembly line” for CRISPR-Cas9 gene-editing?. Biomicrofluidics. 14(6). 61301–61301. 7 indexed citations
12.
Kwan, David H., et al.. (2019). A fucosyltransferase inhibition assay using image-analysis and digital microfluidics. Biomicrofluidics. 13(3). 34106–34106. 11 indexed citations
13.
Shih, Steve C. C., et al.. (2019). Integration of World-to-Chip Interfaces with Digital Microfluidics for Bacterial Transformation and Enzymatic Assays. Analytical Chemistry. 91(8). 5159–5168. 31 indexed citations
14.
Shih, Steve C. C., et al.. (2018). An automated microfluidic gene-editing platform for deciphering cancer genes. Lab on a Chip. 18(15). 2300–2312. 35 indexed citations
15.
Shih, Steve C. C., Philip C. Gach, Blake A. Simmons, et al.. (2014). A droplet-to-digital (D2D) microfluidic device for single cell assays. Lab on a Chip. 15(1). 225–236. 69 indexed citations
16.
Shih, Steve C. C., et al.. (2012). Digital microfluidics with impedance sensing for integrated cell culture andanalysis. Biosensors and Bioelectronics. 42. 314–320. 101 indexed citations
17.
Au, Sam H., Steve C. C. Shih, & Aaron R. Wheeler. (2010). Integrated microbioreactor for culture and analysis of bacteria, algae and yeast. Biomedical Microdevices. 13(1). 41–50. 92 indexed citations
18.
Shih, Steve C. C., et al.. (2010). A feedback control system for high-fidelity digital microfluidics. Lab on a Chip. 11(3). 535–540. 83 indexed citations
19.
Jebrail, Mais J., Vivienne N. Luk, Steve C. C. Shih, et al.. (2009). Digital Microfluidics for Automated Proteomic Processing. Journal of Visualized Experiments. 25 indexed citations
20.
Shih, Steve C. C., et al.. (2008). Investigation of the utility of selective methyl protonation for determination of membrane protein structures. Journal of Biomolecular NMR. 42(1). 49–58. 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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