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Microfluidic and Bio-sensing Technologies

Microfluidic and Bio-sensing Technologies is a research topic within Biomedical Engineering. Science Explorer counts 41k research works in it since 1950. 21.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the use of microfluidic techniques for manipulating and separating particles, cells, and biological entities. The papers cover a wide range of methods including acoustic manipulation, dielectrophoresis, inertial focusing, and continuous flow separation. These techniques have applications in areas such as cell sorting, lab-on-a-chip devices, and impedance spectroscopy.

  • Microfluidics
  • Particle Separation
  • Acoustic Manipulation
  • Dielectrophoresis
  • Cell Sorting
  • Inertial Focusing
  • Lab-on-a-Chip
  • Impedance Spectroscopy
  • Continuous Flow
  • Acoustofluidics
Research works
41k
fractional, since 1950
In the world top 10%
8.6k
per year above
Top-10% rate
21.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+3%
the tick is no change

Which countries lead Microfluidic and Bio-sensing Technologies research?

By volume, China and the United States publish the most (1.5k and 1.1k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.5k works
  2. 2 United States 1.1k works
  3. 3 India 350 works
  4. 4 Japan 346 works
  5. 5 Germany 294 works
  6. 6 France 220 works
  7. 7 United Kingdom 212 works
  8. 8 South Korea 171 works
  9. 9 Italy 154 works
  10. 10 Iran 137 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 33.8%United States: 24.5%India: 7.8%Japan: 7.7%6 others listed: 26.3%34%largest
China1,523 · 33.8%United States1,104 · 24.5%India350 · 7.8%Japan346 · 7.7%6 others listed1,189 · 26.3%

Shares of the rows listed above, not of the whole node.

Which institutions lead Microfluidic and Bio-sensing Technologies research?

By volume in 2022–2025, Chinese Academy of Sciences publishes the most Microfluidic and Bio-sensing Technologies research, followed by Centre National de la Recherche Scientifique and Zhejiang University.

By volume, 2022–2025

  1. 1 Chinese Academy of Sciences China 39 works
  2. 2 Centre National de la Recherche Scientifique France 37 works
  3. 3 Zhejiang University China 37 works
  4. 4 Tianjin University China 35 works
  5. 5 Xi'an Jiaotong University China 34 works
  6. 6 Harbin Institute of Technology China 29 works
  7. 7 Tsinghua University China 28 works
  8. 8 Shanghai Jiao Tong University China 27 works
  9. 9 The University of Tokyo Japan 27 works
  10. 10 Southeast University China 24 works

Who are the leading researchers in Microfluidic and Bio-sensing Technologies?

The most-cited researchers publishing on Microfluidic and Bio-sensing Technologies include George M. Whitesides, Róbert Langer and Lei Jiang.

  1. 1 George M. Whitesides 4.8k citations
  2. 2 Róbert Langer 4.2k citations
  3. 3 Lei Jiang 3.8k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Microfluidic and Bio-sensing Technologies research done?

The largest centres of Microfluidic and Bio-sensing Technologies research in 2022–2025 are Beijing (China), Shanghai (China), Tokyo (Japan) and Nanjing (China).

Largest cities, 2022–2025

  1. 1 Beijing China 259 works
  2. 2 Shanghai China 127 works
  3. 3 Tokyo Japan 120 works
  4. 4 Nanjing China 106 works
  5. 5 Xi'an China 97 works
  6. 6 Paris France 93 works
  7. 7 Hangzhou China 85 works
  8. 8 Tehran Iran 77 works
  9. 9 Seoul South Korea 70 works
  10. 10 Guangzhou China 67 works
See Microfluidic and Bio-sensing Technologies on the map

Where is the best place to study Microfluidic and Bio-sensing Technologies?

Among universities, judged by research, Tianjin University, ETH Zurich and Sharif University of Technology score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 18.31%fractional works in this node (log) →share in the world top 10% →Tianjin University: 35, 10.2%ETH Zurich: 22, 22.4%Sharif University of Technology: 16, 7.2%Tokyo University of Science: 16, 16.1%South China Normal University: 11, 19.2%Harbin Institute of Technology: 28, 25.7%Jadavpur University: 8, 39.8%Indian Institute of Technology Madras: 17, 7.1%National Institute Of Technology Silchar: 10, 15.1%University of Chinese Academy of Sciences: 24, 20.3%ETH ZurichTokyo University of …Tianjin UniversitySharif University of…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1Tianjin University China 51.810.2%5.1×35 +177.5%
2ETH Zurich Switzerland 50.622.4%5.7×22 -12.4%
3Sharif University of Technology Iran 49.47.2%13.2×16 +95.5%
4Tokyo University of Science Japan 48.616.1%13.3×16 -11.4%
5South China Normal University China 46.919.2%5.5×11 +228.1%
6Harbin Institute of Technology China 46.025.7%3.0×28 +35.8%
7Jadavpur University India 45.939.8%5.4×8 -2.8%
8Indian Institute of Technology Madras India 45.67.1%6.5×17 +232.3%
9National Institute Of Technology Silchar India 44.615.1%10.2×10
10University of Chinese Academy of Sciences China 44.120.3%2.5×24 +124.6%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Microfluidic and Bio-sensing Technologies research growing?

Output in 2018–2022 was 3% higher than in 2013–2017, peaking in 2019. The fastest-growing topics are Microfluidic and Bio-sensing Technologies.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.