Science Explorer Interactive view Map

Advanced Biosensing Techniques and Applications

Advanced Biosensing Techniques and Applications is a research topic within Molecular Biology. Science Explorer counts 22k research works in it since 1950. 18.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development, applications, and optimization of protein microarray technology for high-throughput analysis, multiplexed assays, and functional proteomics. It covers topics such as antibody arrays, immobilization strategies, cytokine measurement, proteome chips, small molecule microarrays, and their use in diagnostic assays.

  • Protein Microarrays
  • High-Throughput Analysis
  • Multiplexed Assays
  • Antibody Arrays
  • Functional Proteomics
  • Immobilization Strategies
  • Cytokine Measurement
  • Proteome Chips
  • Small Molecule Microarrays
  • Diagnostic Assays
Research works
22k
fractional, since 1950
In the world top 10%
4k
per year above
Top-10% rate
18.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-4%
the tick is no change

Which countries lead Advanced Biosensing Techniques and Applications research?

By volume, the United States and China publish the most (844 and 831 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 844 works
  2. 2 China 831 works
  3. 3 India 232 works
  4. 4 Germany 146 works
  5. 5 United Kingdom 122 works
  6. 6 Japan 121 works
  7. 7 South Korea 105 works
  8. 8 Canada 90 works
  9. 9 France 89 works
  10. 10 Italy 87 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.

United States: 31.6%China: 31.2%India: 8.7%Germany: 5.5%6 others listed: 23.0%32%largest
United States844 · 31.6%China831 · 31.2%India232 · 8.7%Germany146 · 5.5%6 others listed614 · 23.0%

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

Which institutions lead Advanced Biosensing Techniques and Applications research?

By volume in 2022–2025, Shanghai Jiao Tong University publishes the most Advanced Biosensing Techniques and Applications research, followed by Chinese Academy of Sciences and Stanford University.

By volume, 2022–2025

  1. 1 Shanghai Jiao Tong UniversityChina 15 works
  2. 2 Chinese Academy of SciencesChina 15 works
  3. 3 Stanford UniversityUnited States 14 works
  4. 4 University of North Carolina at Chapel HillUnited States 14 works
  5. 5 University of TorontoCanada 10 works
  6. 6 Jiangnan UniversityChina 10 works
  7. 7 Johns Hopkins UniversityUnited States 10 works
  8. 8 Harvard UniversityUnited States 10 works
  9. 9 Peking UniversityChina 9 works
  10. 10 University of MichiganUnited States 9 works

Who are the leading researchers in Advanced Biosensing Techniques and Applications?

The most-cited researchers publishing on Advanced Biosensing Techniques and Applications include Chad A. Mirkin and Gordon B. Mills.

  1. 1 Chad A. Mirkin United States 4.6k citations
  2. 2 Gordon B. Mills United States 3.7k citations

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

Where is Advanced Biosensing Techniques and Applications research done?

The largest centres of Advanced Biosensing Techniques and Applications research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Seoul (South Korea).

Largest cities, 2022–2025

  1. 1 Beijing China 130 works
  2. 2 Shanghai China 63 works
  3. 3 Guangzhou China 56 works
  4. 4 Seoul South Korea 49 works
  5. 5 Tokyo Japan 44 works
  6. 6 Nanjing China 43 works
  7. 7 Moscow Russia 41 works
  8. 8 New York United States 35 works
  9. 9 Hangzhou China 33 works
  10. 10 Paris France 33 works
See Advanced Biosensing Techniques and Applications on the map

Where is the best place to study Advanced Biosensing Techniques and Applications?

Among universities, judged by research, Jiangnan University, Shanghai Jiao Tong University and Stanford University 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 18.21%fractional works in this node (log) →share in the world top 10% →Jiangnan University: 10, 23.9%Shanghai Jiao Tong University: 15, 26.1%Stanford University: 14, 12.4%Harvard University: 10, 25.5%University of Chinese Academy of Sciences: 8, 26.2%Peking University: 9, 29.5%University of North Carolina at Chapel Hill: 14, 2.0%University of Liverpool: 9, 3.9%University of Toronto: 10, 15.6%Nanjing University: 8, 17.0%Shanghai Jiao Tong U…Harvard UniversityJiangnan UniversityStanford University
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
1 Jiangnan UniversityChina 62.023.9%4.7×10 +50.4%
2 Shanghai Jiao Tong UniversityChina 57.826.1%1.9×15 +3.0%
3 Stanford UniversityUnited States 49.012.4%3.4×14 -25.4%
4 Harvard UniversityUnited States 47.025.5%2.2×10 -12.8%
5 University of Chinese Academy of SciencesChina 46.526.2%1.4×8 +108.2%
6 Peking UniversityChina 45.329.5%1.7×9 +2.9%
7 University of North Carolina at Chapel HillUnited States 39.02.0%2.3×14 +102.9%
8 University of LiverpoolUnited Kingdom 38.33.9%5.2×9 -43.2%
9 University of TorontoCanada 35.115.6%2.0×10 -18.0%
10 Nanjing UniversityChina 33.017.0%3.1×8 -37.1%

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 Advanced Biosensing Techniques and Applications research growing?

Output in 2018–2022 was 4% lower than in 2013–2017, peaking in 2025. The fastest-growing topics are Advanced Biosensing Techniques and Applications.

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.