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Nanofabrication and Lithography Techniques

Nanofabrication and Lithography Techniques is a research topic within Biomedical Engineering. Science Explorer counts 21k research works in it since 1950. 15.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers covers advances in nanoscale lithographic patterning techniques, including nanoimprint technology, dip-pen nanolithography, microcontact printing, and soft lithography. The research focuses on high-resolution patterning using polymer stamps and its applications in various fields, including biological applications.

  • Nanolithography
  • Soft Lithography
  • Nanoimprint Technology
  • Dip-Pen Nanolithography
  • Microcontact Printing
  • Patterning Techniques
  • High-Resolution Patterning
  • Polymer Stamps
  • Nanoscale Patterning
  • Biological Applications
Research works
21k
fractional, since 1950
In the world top 10%
3.2k
per year above
Top-10% rate
15.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-31%
the tick is no change

Which countries lead Nanofabrication and Lithography Techniques research?

By volume, China and the United States publish the most (567 and 379 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 567 works
  2. 2 United States 379 works
  3. 3 Japan 215 works
  4. 4 Germany 174 works
  5. 5 South Korea 139 works
  6. 6 India 113 works
  7. 7 France 87 works
  8. 8 Taiwan 57 works
  9. 9 United Kingdom 57 works
  10. 10 Russia 51 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: 30.8%United States: 20.6%Japan: 11.7%Germany: 9.5%6 others listed: 27.4%31%largest
China567 · 30.8%United States379 · 20.6%Japan215 · 11.7%Germany174 · 9.5%6 others listed505 · 27.4%

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

Which institutions lead Nanofabrication and Lithography Techniques research?

By volume in 2022–2025, Chinese Academy of Sciences publishes the most Nanofabrication and Lithography Techniques research, followed by Harbin Institute of Technology and Karlsruhe Institute of Technology.

Who are the leading researchers in Nanofabrication and Lithography Techniques?

The most-cited researchers publishing on Nanofabrication and Lithography Techniques include George M. Whitesides, Chad A. Mirkin and Róbert Langer.

  1. 1 George M. Whitesides United States 4.8k citations
  2. 2 Chad A. Mirkin United States 4.6k citations
  3. 3 Róbert Langer United States 4.2k citations
  4. 4 Lei Jiang China 3.8k citations
  5. 5 Younan Xia United States 3.7k citations
  6. 6 S. Bianco Italy 3.3k citations

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

Where is Nanofabrication and Lithography Techniques research done?

The largest centres of Nanofabrication and Lithography Techniques research in 2022–2025 are Beijing (China), Tokyo (Japan), Seoul (South Korea) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Daejeon.

Largest cities, 2022–2025

  1. 1 Beijing China 115 works
  2. 2 Tokyo Japan 86 works
  3. 3 Seoul South Korea 59 works
  4. 4 Shanghai China 53 works
  5. 5 Shenzhen China 29 works
  6. 6 Daejeon South Korea 27 works
  7. 7 Nanjing China 27 works
  8. 8 Hangzhou China 27 works
  9. 9 Paris France 25 works
  10. 10 Guangzhou China 25 works

Where it is the local speciality

  1. DaejeonKR · 27.5 works6.5×
← less than its size predictsmore →

Location quotient: how much more of its research is in Nanofabrication and Lithography Techniques than the world average.

See Nanofabrication and Lithography Techniques on the map

Where is the best place to study Nanofabrication and Lithography Techniques?

Among universities, judged by research, Korea Advanced Institute of Science and Technology, Shenzhen University and Karlsruhe Institute 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%10%20%mean 10.78%fractional works in this node (log) →share in the world top 10% →Korea Advanced Institute of Science and Technology: 12, 22.7%Shenzhen University: 13, 7.2%Karlsruhe Institute of Technology: 15, 2.6%University of Chinese Academy of Sciences: 12, 15.5%Harbin Institute of Technology: 16, 10.1%The University of Osaka: 11, 6.8%Tsinghua University: 13, 18.1%National Taiwan University: 10, 3.4%Zhejiang University: 9, 19.4%Tokyo University of Science: 8, 2.0%Korea Advanced Insti…University of Chines…Shenzhen UniversityKarlsruhe Institute …
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 Korea Advanced Institute of Science and TechnologySouth Korea 69.022.7%11.0×12 -37.8%
2 Shenzhen UniversityChina 56.87.2%7.4×13 +102.4%
3 Karlsruhe Institute of TechnologyGermany 54.82.6%12.6×15 -1.4%
4 University of Chinese Academy of SciencesChina 51.615.5%3.2×12 +102.0%
5 Harbin Institute of TechnologyChina 46.010.1%4.4×16 +4.0%
6 The University of OsakaJapan 43.36.8%7.5×11 +29.5%
7 Tsinghua UniversityChina 42.718.1%2.8×13 -26.7%
8 National Taiwan UniversityTaiwan 33.63.4%8.4×10 -39.5%
9 Zhejiang UniversityChina 33.019.4%1.9×9 -20.6%
10 Tokyo University of ScienceJapan 32.92.0%17.4×8 -4.7%

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 Nanofabrication and Lithography Techniques research growing?

Output in 2018–2022 was 31% lower than in 2013–2017, peaking in 2009.

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.