D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Materials Science D-index 53 Citations 15,260 174 World Ranking 4841 National Ranking 1364

Research.com Recognitions

Awards & Achievements

2016 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

What is he best known for?

The fields of study he is best known for:

  • DNA
  • Cancer
  • Enzyme

His primary areas of study are Microfluidics, Nanotechnology, Inertial frame of reference, Mechanics and Lift. His Microfluidics study combines topics from a wide range of disciplines, such as Microscale chemistry, Analytical chemistry, Biological system and Single-cell analysis. His research on Nanotechnology focuses in particular on Microchannel.

His Inertial frame of reference research includes elements of Flow velocity and Inertial effect. His study in Mechanics is interdisciplinary in nature, drawing from both Particle-laden flows, Communication channel, Particle dynamics and Microfluidic channel. His Lift research incorporates themes from Streamlines, streaklines, and pathlines, Laminar flow, Transverse plane and Fictitious force, Classical mechanics.

His most cited work include:

  • Continuous inertial focusing, ordering, and separation of particles in microchannels (1103 citations)
  • Label-free cell separation and sorting in microfluidic systems (678 citations)
  • Label-free cell separation and sorting in microfluidic systems (678 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Microfluidics, Nanotechnology, Mechanics, Inertial frame of reference and Throughput. His Microfluidics study combines topics in areas such as Analytical chemistry, Microscale chemistry, Communication channel, Biological system and Biomedical engineering. His Biomedical engineering study frequently links to adjacent areas such as Cell.

As part of his studies on Nanotechnology, he frequently links adjacent subjects like Sorting. His Mechanics study typically links adjacent topics like Lift. Dino Di Carlo performs integrative study on Throughput and Computer hardware.

He most often published in these fields:

  • Microfluidics (41.11%)
  • Nanotechnology (37.18%)
  • Mechanics (16.86%)

What were the highlights of his more recent work (between 2018-2021)?

  • Microfluidics (41.11%)
  • Artificial intelligence (6.70%)
  • Deep learning (3.93%)

In recent papers he was focusing on the following fields of study:

Dino Di Carlo spends much of his time researching Microfluidics, Artificial intelligence, Deep learning, Nanotechnology and Cell sorting. His Microfluidics research includes themes of Tissue engineering, Microporous material, Self-healing hydrogels, Chemical engineering and Microscale chemistry. His research investigates the connection between Microscale chemistry and topics such as Dispersity that intersect with issues in Surface energy.

The various areas that he examines in his Artificial intelligence study include Detection limit and Computer vision. His research on Deep learning also deals with topics like

  • Artificial neural network together with Pattern recognition, Synthetic biology and Fluorescence-lifetime imaging microscopy,
  • Multiplexing together with Serum samples,
  • Antimicrobial susceptibility which connect with Gold standard. His studies deal with areas such as Sorting, Image and Lab-on-a-chip as well as Cell sorting.

Between 2018 and 2021, his most popular works were:

  • Microfluidic-enabled bottom-up hydrogels from annealable naturally-derived protein microbeads. (37 citations)
  • Scalable High‐Throughput Production of Modular Microgels for In Situ Assembly of Microporous Tissue Scaffolds (34 citations)
  • A practical guide to intelligent image-activated cell sorting. (25 citations)

In his most recent research, the most cited papers focused on:

  • DNA
  • Cancer
  • Optics

His primary areas of investigation include Microfluidics, Nanotechnology, Sorting, Cell sorting and Throughput. With his scientific publications, his incorporates both Microfluidics and Sampling. His biological study focuses on Lab-on-a-chip.

His Sorting research is multidisciplinary, relying on both Droplet microfluidics, Limiting, Biological system and Dielectrophoretic force. His Cell sorting research integrates issues from Deep learning and Artificial intelligence. His Tissue engineering research incorporates elements of Matrix, Mesenchymal stem cell, Stem cell and Microparticle.

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.

Best Publications

Continuous inertial focusing, ordering, and separation of particles in microchannels

Dino Di Carlo;Daniel Irimia;Ronald G. Tompkins;Mehmet Toner.
Proceedings of the National Academy of Sciences of the United States of America (2007)

1493 Citations

Label-free cell separation and sorting in microfluidic systems

Daniel R. Gossett;Daniel R. Gossett;Westbrook M. Weaver;Westbrook M. Weaver;Albert J. Mach;Albert J. Mach;Soojung Claire Hur;Soojung Claire Hur.
Analytical and Bioanalytical Chemistry (2010)

965 Citations

Dynamic single cell culture array

Dino Di Carlo;Liz Y. Wu;Luke P. Lee.
Lab on a Chip (2006)

778 Citations

Hydrodynamic stretching of single cells for large population mechanical phenotyping

Daniel R. Gossett;Henry T. K. Tse;Serena A. Lee;Yong Ying.
Proceedings of the National Academy of Sciences of the United States of America (2012)

639 Citations

Deformability-based cell classification and enrichment using inertial microfluidics

Soojung Claire Hur;Soojung Claire Hur;Nicole K. Henderson-MacLennan;Edward R. B. McCabe;Dino Di Carlo;Dino Di Carlo.
Lab on a Chip (2011)

546 Citations

Controlled encapsulation of single-cells into monodisperse picolitre drops.

Jon F. Edd;Dino Di Carlo;Katherine J. Humphry;Sarah Köster.
Lab on a Chip (2008)

506 Citations

Inertial microfluidic physics

Hamed Amini;Hamed Amini;Wonhee Lee;Dino Di Carlo;Dino Di Carlo.
Lab on a Chip (2014)

500 Citations

Single-Cell Enzyme Concentrations, Kinetics, and Inhibition Analysis Using High-Density Hydrodynamic Cell Isolation Arrays

Dino Di Carlo;Nima Aghdam;Luke P Lee.
Analytical Chemistry (2006)

486 Citations

Dynamic single-cell analysis for quantitative biology.

Dino Di Carlo;Luke P. Lee.
Analytical Chemistry (2006)

456 Citations

Particle segregation and dynamics in confined flows.

Dino Di Carlo;Jon F. Edd;Katherine J. Humphry;Howard A. Stone.
Physical Review Letters (2009)

455 Citations

Best Scientists Citing Dino Di Carlo

Jongyoon Han

Jongyoon Han

MIT

Publications: 75

Chwee Teck Lim

Chwee Teck Lim

National University of Singapore

Publications: 67

Tony Jun Huang

Tony Jun Huang

Duke University

Publications: 49

Xiangchun Xuan

Xiangchun Xuan

Clemson University

Publications: 49

Bahram Jalali

Bahram Jalali

University of California, Los Angeles

Publications: 48

Ian Papautsky

Ian Papautsky

University of Illinois at Chicago

Publications: 43

Weihua Li

Weihua Li

University of Wollongong

Publications: 42

Ali Khademhosseini

Ali Khademhosseini

Terasaki Foundation

Publications: 41

Mehmet Toner

Mehmet Toner

Harvard University

Publications: 39

Suman Chakraborty

Suman Chakraborty

Indian Institute of Technology Kharagpur

Publications: 31

Fumihito Arai

Fumihito Arai

University of Tokyo

Publications: 29

Luke P. Lee

Luke P. Lee

University of California, Berkeley

Publications: 29

Shoji Takeuchi

Shoji Takeuchi

University of Tokyo

Publications: 28

Toshio Fukuda

Toshio Fukuda

Beijing Institute of Technology

Publications: 28

Aydogan Ozcan

Aydogan Ozcan

University of California, Los Angeles

Publications: 27

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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