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Topic · Biomaterials

Silk-based biomaterials and applications

Silk-based biomaterials and applications is a research topic within Biomaterials. Science Explorer counts 21k research works in it since 1950. 20.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the biomedical applications of silk biomaterials, particularly silk fibroin, in areas such as tissue engineering, drug delivery, and understanding the mechanical properties and protein structure of silk. It also covers topics related to spider silk and regenerated silk, as well as the genome sequencing and biodegradation of silk biomaterials.

  • Silk Fibroin
  • Biomaterials
  • Tissue Engineering
  • Spider Silk
  • Regenerated Silk
  • Drug Delivery
  • Mechanical Properties
  • Genome Sequencing
  • Biodegradation
  • Protein Structure
Research works
21k
fractional, since 1950
In the world top 10%
4.3k
per year above
Top-10% rate
20.3%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+23%
the tick is no change

Which countries lead Silk-based biomaterials and applications research?

By volume, China and India publish the most (1.4k and 448 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.4k works
  2. 2 India 448 works
  3. 3 United States 372 works
  4. 4 Iran 184 works
  5. 5 Japan 138 works
  6. 6 South Korea 120 works
  7. 7 Germany 112 works
  8. 8 Türkiye 100 works
  9. 9 Italy 96 works
  10. 10 United Kingdom 92 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: 45.9%India: 14.6%United States: 12.1%Iran: 6.0%6 others listed: 21.4%46%largest
China1,412 · 45.9%India448 · 14.6%United States372 · 12.1%Iran184 · 6.0%6 others listed658 · 21.4%

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

Which institutions lead Silk-based biomaterials and applications research?

By volume in 2022–2025, Soochow University publishes the most Silk-based biomaterials and applications research, followed by Southwest University and Zhejiang Sci-Tech University.

By volume, 2022–2025

  1. 1 Soochow University China 48 works
  2. 2 Southwest University China 42 works
  3. 3 Zhejiang Sci-Tech University China 30 works
  4. 4 Sichuan University China 27 works
  5. 5 Donghua University China 27 works
  6. 6 Jiangnan University China 23 works
  7. 7 Zhejiang University China 21 works
  8. 8 Shanghai Jiao Tong University China 20 works
  9. 9 Tufts University United States 19 works
  10. 10 Wuhan Textile University China 17 works

Who are the leading researchers in Silk-based biomaterials and applications?

The most-cited researchers publishing on Silk-based biomaterials and applications include Seeram Ramakrishna and Lei Jiang.

  1. 1 Seeram Ramakrishna 5.1k citations
  2. 2 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 Silk-based biomaterials and applications research done?

The largest centres of Silk-based biomaterials and applications research in 2022–2025 are Beijing (China), Shanghai (China), Hangzhou (China) and Tehran (Iran). Among places with at least 20 works in it, it is an unusually large share of all research in Suzhou and Wuxi.

Largest cities, 2022–2025

  1. 1 Beijing China 163 works
  2. 2 Shanghai China 143 works
  3. 3 Hangzhou China 92 works
  4. 4 Tehran Iran 87 works
  5. 5 Nanjing China 67 works
  6. 6 Chongqing China 67 works
  7. 7 Guangzhou China 65 works
  8. 8 Wuhan China 62 works
  9. 9 Suzhou China 59 works
  10. 10 Chengdu China 49 works

Where it is the local speciality

  1. SuzhouCN · 58.8 works8.5×
  2. WuxiCN · 27.4 works6.9×
← less than its size predictsmore →

Location quotient: how much more of its research is in Silk-based biomaterials and applications than the world average.

See Silk-based biomaterials and applications on the map

Where is the best place to study Silk-based biomaterials and applications?

Among universities, judged by research, Donghua University, Southwest University and Tufts 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 24.68%fractional works in this node (log) →share in the world top 10% →Donghua University: 26, 31.3%Southwest University: 42, 18.0%Tufts University: 19, 29.6%Soochow University: 48, 13.7%University of Minho: 14, 22.4%Jiangnan University: 23, 15.7%Wuhan Textile University: 17, 18.2%Sichuan University: 27, 40.6%Zhejiang Sci-Tech University: 30, 10.8%Qingdao University: 12, 46.5%Donghua UniversityTufts UniversitySouthwest UniversitySoochow 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
1Donghua University China 57.631.3%17.5×26 -47.8%
2Southwest University China 57.018.0%18.6×42 -5.4%
3Tufts University United States 55.229.6%17.5×19 -32.3%
4Soochow University China 54.413.7%14.5×48 -32.2%
5University of Minho Portugal 52.722.4%9.7×14 +33.9%
6Jiangnan University China 50.015.7%9.2×23 +50.0%
7Wuhan Textile University China 49.718.2%26.8×17 +43.5%
8Sichuan University China 47.440.6%3.9×27 -12.3%
9Zhejiang Sci-Tech University China 46.110.8%23.7×30 -45.1%
10Qingdao University China 46.146.5%5.1×12 +3.3%

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 Silk-based biomaterials and applications research growing?

Output in 2018–2022 was 23% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Silk-based biomaterials 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.