Andrew J. deMello

22.9k total citations · 7 hit papers
310 papers, 18.6k citations indexed

About

Andrew J. deMello is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Andrew J. deMello has authored 310 papers receiving a total of 18.6k indexed citations (citations by other indexed papers that have themselves been cited), including 234 papers in Biomedical Engineering, 111 papers in Electrical and Electronic Engineering and 61 papers in Molecular Biology. Recurrent topics in Andrew J. deMello's work include Innovative Microfluidic and Catalytic Techniques Innovation (157 papers), Microfluidic and Capillary Electrophoresis Applications (115 papers) and Electrowetting and Microfluidic Technologies (66 papers). Andrew J. deMello is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (157 papers), Microfluidic and Capillary Electrophoresis Applications (115 papers) and Electrowetting and Microfluidic Technologies (66 papers). Andrew J. deMello collaborates with scholars based in Switzerland, United Kingdom and South Korea. Andrew J. deMello's co-authors include Joshua B. Edel, Xavier Casadevall i Solvas, Robert C. R. Wootton, John C. de Mello, Stavros Stavrakis, Katherine S. Elvira, Monpichar Srisa‐Art, Philip D. Howes, Ioannis Lignos and Xize Niu and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Andrew J. deMello

298 papers receiving 18.3k citations

Hit Papers

Control and detection of ... 1996 2026 2006 2016 2006 2013 1996 2008 2016 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew J. deMello Switzerland 72 13.5k 6.5k 3.3k 3.0k 1.4k 310 18.6k
Albert van den Berg Netherlands 76 16.5k 1.2× 7.7k 1.2× 3.0k 0.9× 2.9k 1.0× 727 0.5× 633 24.2k
Thomas Thundat United States 74 8.2k 0.6× 8.8k 1.4× 2.1k 0.6× 3.8k 1.3× 1.7k 1.2× 546 20.6k
J. Christopher Love United States 63 5.9k 0.4× 6.3k 1.0× 5.9k 1.8× 3.7k 1.2× 1.4k 1.0× 203 19.6k
Bo Liedberg Sweden 71 9.2k 0.7× 6.7k 1.0× 6.6k 2.0× 3.4k 1.1× 2.5k 1.8× 335 19.2k
Harold G. Craighead United States 63 8.7k 0.6× 5.8k 0.9× 2.5k 0.7× 5.5k 1.8× 807 0.6× 206 17.2k
Harald Fuchs Germany 74 9.2k 0.7× 8.9k 1.4× 2.8k 0.8× 6.8k 2.3× 1.3k 0.9× 561 22.5k
Luke P. Lee United States 79 13.6k 1.0× 3.7k 0.6× 5.4k 1.6× 2.3k 0.8× 3.3k 2.3× 348 20.2k
Patrick S. Doyle United States 72 9.7k 0.7× 2.5k 0.4× 4.0k 1.2× 4.2k 1.4× 508 0.4× 312 18.7k
James K. Gimzewski United States 74 6.2k 0.5× 12.6k 1.9× 2.6k 0.8× 5.2k 1.7× 866 0.6× 283 22.6k
Olgica Bakajin United States 31 7.6k 0.6× 6.6k 1.0× 1.4k 0.4× 3.9k 1.3× 1.0k 0.7× 55 13.6k

Countries citing papers authored by Andrew J. deMello

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. deMello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. deMello. 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 Andrew J. deMello. The network helps show where Andrew J. deMello may publish in the future.

Co-authorship network of co-authors of Andrew J. deMello

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. deMello. A scholar is included among the top collaborators of Andrew J. deMello 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 Andrew J. deMello. Andrew J. deMello 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.
Grosso, Erica Del, et al.. (2025). Sustained, Reversible, and Adaptive Non‐Equilibrium Steady States of a Dissipative DNA‐Based System. Angewandte Chemie International Edition. 64(43). e202512967–e202512967.
4.
deMello, Andrew J., et al.. (2025). Harnessing Synergies between Combinatorial Microfluidics and Machine Learning for Chemistry, Biology, and Fluidic Design. Chemistry - Methods. 5(12). 2 indexed citations
5.
Colombo, Monika, Yingchao Meng, Marie Poirier‐Quinot, et al.. (2024). Assessing the Effect of Magnetite Nanoflowers on Platelets in a Multiscale Approach in the Context of Thromboembolic Diseases. ACS Applied Nano Materials. 7(17). 20085–20093.
6.
Song, Chao, Zaiyi Shen, Bin Wang, et al.. (2024). Programming structural and magnetic anisotropy for tailored interaction and control of soft microrobots. SHILAP Revista de lepidopterología. 3(1). 8 indexed citations
7.
Bezinge, Léonard, Andrew J. deMello, Chih‐Jen Shih, & Daniel A. Richards. (2024). Quantitative reagent monitoring in paper-based electrochemical rapid diagnostic tests. Lab on a Chip. 24(15). 3651–3657. 2 indexed citations
8.
Bezinge, Léonard, Chih‐Jen Shih, Daniel A. Richards, & Andrew J. deMello. (2024). Electrochemical Paper‐Based Microfluidics: Harnessing Capillary Flow for Advanced Diagnostics. Small. 20(38). e2401148–e2401148. 17 indexed citations
9.
Giannakakis, Georgios, Camelia N. Borca, Thomas Huthwelker, et al.. (2024). Droplet‐Based Microfluidics Reveals Insights into Cross‐Coupling Mechanisms over Single‐Atom Heterogeneous Catalysts. Angewandte Chemie International Edition. 63(20). e202401056–e202401056. 11 indexed citations
10.
Qiu, Guangyu, Xiaole Zhang, Andrew J. deMello, et al.. (2023). On-site airborne pathogen detection for infection risk mitigation. Chemical Society Reviews. 52(24). 8531–8579. 24 indexed citations
11.
Cao, Xiaobao, Tomáš Buryška, Jing Wang, et al.. (2023). Towards an active droplet-based microfluidic platform for programmable fluid handling. Lab on a Chip. 23(8). 2029–2038. 12 indexed citations
13.
Asghari, Mohammad H., Monika Colombo, Zahra Vaezi, et al.. (2022). Hybrid Microfluidic Device for High Throughput Isolation of Cells Using Aptamer Functionalized Diatom Frustules. CHIMIA International Journal for Chemistry. 76(7-8). 661–661. 6 indexed citations
14.
Zhang, Xinyu, et al.. (2022). Building block properties govern granular hydrogel mechanics through contact deformations. Science Advances. 8(50). eadd8570–eadd8570. 51 indexed citations
15.
Shardt, Nadia, Michael Rösch, Stavros Stavrakis, et al.. (2022). The Microfluidic Ice Nuclei Counter Zürich (MINCZ): a platform for homogeneous and heterogeneous ice nucleation. Atmospheric measurement techniques. 15(18). 5367–5381. 15 indexed citations
16.
Berger, Simon, et al.. (2021). Microfluidic-based imaging of complete Caenorhabditis elegans larval development. Development. 148(18). 12 indexed citations
17.
Hu, Songtao, Xiaobao Cao, Tom Reddyhoff, et al.. (2021). Flexibility-Patterned Liquid-Repelling Surfaces. ACS Applied Materials & Interfaces. 13(24). 29092–29100. 10 indexed citations
18.
Hu, Songtao, Xiaobao Cao, Tom Reddyhoff, et al.. (2020). Liquid repellency enhancement through flexible microstructures. Science Advances. 6(32). eaba9721–eaba9721. 50 indexed citations
19.
Cao, Xiaobao, Shangkun Li, Songtao Hu, et al.. (2020). Laminar Flow-Based Fiber Fabrication and Encoding via Two-Photon Lithography. ACS Applied Materials & Interfaces. 12(48). 54068–54074. 8 indexed citations
20.
Hu, Songtao, Xiaobao Cao, Tom Reddyhoff, et al.. (2019). Self-Compensating Liquid-Repellent Surfaces with Stratified Morphology. ACS Applied Materials & Interfaces. 12(3). 4174–4182. 10 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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