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Topic · Surgery

Tissue Engineering and Regenerative Medicine

Tissue Engineering and Regenerative Medicine is a research topic within Surgery. Science Explorer counts 42k research works in it since 1950. 23.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers revolves around the field of tissue engineering and regenerative medicine, with a focus on decellularization, extracellular matrix, organ engineering, bioartificial organs, and the development of scaffold materials for various tissue types. It also encompasses research on cardiac tissue engineering, biologic scaffolds, tissue-specific coatings, and the application of stem cell therapy in tissue regeneration.

  • Decellularization
  • Extracellular Matrix
  • Organ Engineering
  • Bioartificial Organs
  • Regenerative Medicine
  • Scaffold Materials
  • Cardiac Tissue Engineering
  • Biologic Scaffolds
  • Tissue-Specific Coatings
  • Stem Cell Therapy
Research works
42k
fractional, since 1950
In the world top 10%
9.8k
per year above
Top-10% rate
23.7%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+5%
the tick is no change

This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.

Which countries lead Tissue Engineering and Regenerative Medicine research?

By volume, China and the United States publish the most (1.6k and 1.5k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.6k works
  2. 2 United States 1.5k works
  3. 3 Japan 339 works
  4. 4 India 288 works
  5. 5 Germany 279 works
  6. 6 Iran 266 works
  7. 7 South Korea 229 works
  8. 8 United Kingdom 215 works
  9. 9 Italy 203 works
  10. 10 France 152 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: 31.5%United States: 29.5%Japan: 6.7%India: 5.7%6 others listed: 26.6%31%largest
China1,592 · 31.5%United States1,492 · 29.5%Japan339 · 6.7%India288 · 5.7%6 others listed1,345 · 26.6%

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

Which institutions lead Tissue Engineering and Regenerative Medicine research?

By volume in 2022–2025, Sichuan University publishes the most Tissue Engineering and Regenerative Medicine research, followed by Shanghai Jiao Tong University and Chinese Academy of Medical Sciences & Peking Union Medical College.

Who are the leading researchers in Tissue Engineering and Regenerative Medicine?

The most-cited researchers publishing on Tissue Engineering and Regenerative Medicine include Manoj M. Lalu, Seeram Ramakrishna and Róbert Langer.

  1. 1 Manoj M. Lalu Canada 13k citations
  2. 2 Seeram Ramakrishna Singapore 5.1k citations
  3. 3 Róbert Langer United States 4.2k citations
  4. 4 William Wijns Belgium 3.8k citations

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

Where is Tissue Engineering and Regenerative Medicine research done?

The largest centres of Tissue Engineering and Regenerative Medicine research in 2022–2025 are Beijing (China), Shanghai (China), Tehran (Iran) and Guangzhou (China).

Largest cities, 2022–2025

  1. 1 Beijing China 232 works
  2. 2 Shanghai China 173 works
  3. 3 Tehran Iran 138 works
  4. 4 Guangzhou China 130 works
  5. 5 Tokyo Japan 109 works
  6. 6 Seoul South Korea 102 works
  7. 7 Chengdu China 83 works
  8. 8 London United Kingdom 71 works
  9. 9 Moscow Russia 70 works
  10. 10 Paris France 69 works
See Tissue Engineering and Regenerative Medicine on the map

Where is the best place to study Tissue Engineering and Regenerative Medicine?

Among universities, judged by research, Southern Medical University, Shahid Beheshti University of Medical Sciences and Sichuan 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%60%mean 37.79%fractional works in this node (log) →share in the world top 10% →Southern Medical University: 21, 48.1%Shahid Beheshti University of Medical Sciences: 17, 36.1%Sichuan University: 42, 44.7%Iran University of Medical Sciences: 14, 27.3%Tabriz University of Medical Sciences: 12, 37.3%Tehran University of Medical Sciences: 19, 26.9%Zhejiang University: 19, 47.4%Air Force Medical University: 10, 37.9%Shanghai Jiao Tong University: 28, 38.3%Chinese Academy of Medical Sciences & Peking Union Medical College: 26, 33.9%Southern Medical Uni…Sichuan UniversityShahid Beheshti Univ…Iran University of M…
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 Southern Medical UniversityChina 66.248.1%8.9×21 +24.9%
2 Shahid Beheshti University of Medical SciencesIran 60.136.1%7.2×17 +151.6%
3 Sichuan UniversityChina 57.944.7%3.7×42 +20.9%
4 Iran University of Medical SciencesIran 57.927.3%7.8×14 +806.6%
5 Tabriz University of Medical SciencesIran 53.237.3%8.0×12
6 Tehran University of Medical SciencesIran 51.826.9%6.2×19 +105.7%
7 Zhejiang UniversityChina 46.647.4%1.4×19 +52.2%
8 Air Force Medical UniversityChina 46.537.9%8.9×10 -46.6%
9 Shanghai Jiao Tong UniversityChina 46.038.3%1.9×28 +26.2%
10 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 45.233.9%4.1×26 -17.4%

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 Tissue Engineering and Regenerative Medicine research growing?

Output in 2018–2022 was 5% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Tissue Engineering and Regenerative Medicine.

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.