Biomicrofluidics

Papers
(The H4-Index of Biomicrofluidics is 18. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Applications of electrowetting-on-dielectric (EWOD) technology for droplet digital PCR46
Perspectives in translating microfluidic devices from laboratory prototyping into scale-up production41
Inertial microfluidics in contraction–expansion microchannels: A review40
A low-cost 3D printed microfluidic bioreactor and imaging chamber for live-organoid imaging36
Enhanced single-cell encapsulation in microfluidic devices: From droplet generation to single-cell analysis35
Machine learning-enabled multiplexed microfluidic sensors33
Synergizing microfluidics with soft robotics: A perspective on miniaturization and future directions28
Recent developments in microfluidic synthesis of artificial cell-like polymersomes and liposomes for functional bioreactors26
The impact of microfluidics in high-throughput drug-screening applications26
A liver-on-a-chip for hepatoprotective activity assessment26
Spheroid-on-chip microfluidic technology for the evaluation of the impact of continuous flow on metastatic potential in cancer models in vitro25
Increasing the packing density of assays in paper-based microfluidic devices24
SAW-driven droplet jetting technology in microfluidic: A review24
Challenges and opportunities for small volumes delivery into the skin22
From cell spheroids to vascularized cancer organoids: Microfluidic tumor-on-a-chip models for preclinical drug evaluations21
The potential of microfluidics-enhanced extrusion bioprinting21
Potential of the acoustic micromanipulation technologies for biomedical research19
Microfluidic production of monodisperse emulsions for cosmetics19
Human lung-on-chips: Advanced systems for respiratory virus models and assessment of immune response18
Adoption of reinforcement learning for the intelligent control of a microfluidic peristaltic pump18
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