What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Nanotechnology
- Mechanical engineering
Ian Papautsky mostly deals with Microfluidics, Nanotechnology, Microchannel, Mechanics and Lift.
Ian Papautsky studies Lab-on-a-chip, a branch of Microfluidics.
His Nanotechnology study incorporates themes from Inertial frame of reference and Microscale chemistry.
The concepts of his Microchannel study are interwoven with issues in Optoelectronics, Silicon, Laminar flow, Aspect ratio and Drag.
The Aspect ratio study combines topics in areas such as Modulation and Analytical chemistry.
His Lift study combines topics from a wide range of disciplines, such as Polystyrene, Inertial microfluidics and Fictitious force.
His most cited work include:
- Inertial microfluidics for continuous particle separation in spiral microchannels (462 citations)
- Continuous particle separation in spiral microchannels using dean flows and differential migration (432 citations)
- Point-of-care colorimetric detection with a smartphone (374 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Microfluidics, Nanotechnology, Optoelectronics, Microchannel and Analytical chemistry.
His research integrates issues of Planar, Electronic engineering and Inertial frame of reference in his study of Microfluidics.
His research in Nanotechnology intersects with topics in Microelectrode, Pipette and Silicon.
He has included themes like Image sensor, Fluorescence, Detector and Optics in his Optoelectronics study.
His Microchannel study is concerned with Mechanics in general.
His Analytical chemistry research includes elements of Anodic stripping voltammetry, Electrochemistry and Voltammetry.
He most often published in these fields:
- Microfluidics (42.50%)
- Nanotechnology (34.17%)
- Optoelectronics (18.75%)
What were the highlights of his more recent work (between 2016-2021)?
- Microfluidics (42.50%)
- Manganese (6.25%)
- Nanotechnology (34.17%)
In recent papers he was focusing on the following fields of study:
Ian Papautsky mainly investigates Microfluidics, Manganese, Nanotechnology, Whole blood and Cathodic stripping voltammetry.
Many of his research projects under Microfluidics are closely connected to Throughput with Throughput, tying the diverse disciplines of science together.
While working on this project, Ian Papautsky studies both Nanotechnology and Design elements and principles.
His Cathodic stripping voltammetry research is multidisciplinary, relying on both Working electrode, Inorganic chemistry, Electrochemical gas sensor and Anodic stripping voltammetry.
The study incorporates disciplines such as Microchannel, Aspect ratio and Soft lithography in addition to Laser.
His Inertial frame of reference study integrates concerns from other disciplines, such as Optoelectronics and Mechanics.
Between 2016 and 2021, his most popular works were:
- Dean Flow Dynamics in Low-Aspect Ratio Spiral Microchannels. (83 citations)
- Isolation of circulating tumor cells in non-small-cell-lung-cancer patients using a multi-flow microfluidic channel (59 citations)
- Isolation of circulating tumor cells in non-small-cell-lung-cancer patients using a multi-flow microfluidic channel (59 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Mechanical engineering
- Nanotechnology
His primary scientific interests are in Microfluidics, Cancer research, Circulating tumor cell, Throughput and Cancer cell.
In his research, Shear is intimately related to Biomedical engineering, which falls under the overarching field of Microfluidics.
His study in Cancer research is interdisciplinary in nature, drawing from both Microfluidic chip and Head and neck.
His Circulating tumor cell research incorporates a variety of disciplines, including In patient, Multi flow, Microfluidic channel, Non small cell and Recovery rate.
Throughput is intertwined with Optics, Aspect ratio, Soft lithography, Microchannel and Laser in his research.
His work in Cancer cell incorporates the disciplines of Nanotechnology, Cell culture, High-Throughput Screening Assays and Cell sorting.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
