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Topic · Biomaterials

Supramolecular Self-Assembly in Materials

Supramolecular Self-Assembly in Materials is a research topic within Biomaterials. Science Explorer counts 24k research works in it since 1950. 23.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the self-assembly of molecules at various scales to create biomaterials, nanofibers, hydrogels, and nanostructures with applications in regenerative medicine, tissue engineering, drug delivery, and nanotechnology. The research explores the design, fabrication, and functionalization of supramolecular materials through molecular gelation and the formation of peptide amphiphiles and nanotubes.

  • Self-Assembly
  • Supramolecular
  • Nanofibers
  • Peptide Amphiphiles
  • Hydrogels
  • Nanostructures
  • Biomaterials
  • Organogels
  • Molecular Gelation
  • Nanotubes
Research works
24k
fractional, since 1950
In the world top 10%
5.8k
per year above
Top-10% rate
23.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+15%
the tick is no change

Which countries lead Supramolecular Self-Assembly in Materials research?

By volume, China and the United States publish the most (1.8k and 564 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.8k works
  2. 2 United States 564 works
  3. 3 India 516 works
  4. 4 Japan 312 works
  5. 5 Germany 183 works
  6. 6 France 163 works
  7. 7 United Kingdom 156 works
  8. 8 South Korea 115 works
  9. 9 Spain 112 works
  10. 10 Italy 110 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: 44.2%United States: 14.1%India: 12.9%Japan: 7.8%6 others listed: 21.0%44%largest
China1,770 · 44.2%United States564 · 14.1%India516 · 12.9%Japan312 · 7.8%6 others listed838 · 21.0%

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

Which institutions lead Supramolecular Self-Assembly in Materials research?

By volume in 2022–2025, Chinese Academy of Sciences publishes the most Supramolecular Self-Assembly in Materials research, followed by Shanghai Jiao Tong University and East China University of Science and Technology.

Who are the leading researchers in Supramolecular Self-Assembly in Materials?

The most-cited researchers publishing on Supramolecular Self-Assembly in Materials include Ben Zhong Tang and David M. Pereira.

  1. 1 Ben Zhong Tang Hong Kong 7k citations
  2. 2 David M. Pereira Portugal 6.1k citations

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

Where is Supramolecular Self-Assembly in Materials research done?

The largest centres of Supramolecular Self-Assembly in Materials research in 2022–2025 are Beijing (China), Shanghai (China), Tianjin (China) and Tokyo (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Kolkata.

Largest cities, 2022–2025

  1. 1 Beijing China 269 works
  2. 2 Shanghai China 200 works
  3. 3 Tianjin China 85 works
  4. 4 Tokyo Japan 83 works
  5. 5 Hangzhou China 77 works
  6. 6 Nanjing China 73 works
  7. 7 Kolkata India 70 works
  8. 8 Wuhan China 63 works
  9. 9 Xi'an China 63 works
  10. 10 Paris France 61 works

Where it is the local speciality

  1. KolkataIN · 69.6 works7.3×
← less than its size predictsmore →

Location quotient: how much more of its research is in Supramolecular Self-Assembly in Materials than the world average.

See Supramolecular Self-Assembly in Materials on the map

Where is the best place to study Supramolecular Self-Assembly in Materials?

Among universities, judged by research, East China University of Science and Technology, Nankai University and University of Chinese Academy of Sciences 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 25.72%fractional works in this node (log) →share in the world top 10% →East China University of Science and Technology: 38, 27.9%Nankai University: 30, 28.0%University of Chinese Academy of Sciences: 29, 31.9%East China Normal University: 17, 31.3%Eindhoven University of Technology: 18, 27.0%Westlake University: 11, 28.4%Indian Institute of Technology Guwahati: 18, 10.6%Shanghai Jiao Tong University: 38, 31.4%Beijing University of Chemical Technology: 24, 15.1%Shandong University: 34, 25.6%University of Chines…East China Normal Un…Nankai UniversityEast China Universit…
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 East China University of Science and TechnologyChina 73.527.9%16.3×38 +127.4%
2 Nankai UniversityChina 62.928.0%9.7×30 +11.4%
3 University of Chinese Academy of SciencesChina 61.031.9%3.7×29 +211.7%
4 East China Normal UniversityChina 60.831.3%7.4×17 +141.4%
5 Eindhoven University of TechnologyNetherlands 59.027.0%10.6×18 -14.2%
6 Westlake UniversityChina 57.828.4%18.5×11
7 Indian Institute of Technology GuwahatiIndia 57.310.6%11.3×18 +411.9%
8 Shanghai Jiao Tong UniversityChina 54.531.4%3.8×38 +48.5%
9 Beijing University of Chemical TechnologyChina 54.315.1%11.8×24 +48.7%
10 Shandong UniversityChina 53.225.6%6.2×34 +13.1%

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 Supramolecular Self-Assembly in Materials research growing?

Output in 2018–2022 was 15% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Supramolecular Self-Assembly in Materials.

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.