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Topic · Biomaterials

Calcium Carbonate Crystallization and Inhibition

Calcium Carbonate Crystallization and Inhibition is a research topic within Biomaterials. Science Explorer counts 20k research works in it since 1950. 16.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the field of bioinspired structural materials and biomineralization, focusing on topics such as nanocomposites, crystallization, mechanical properties, hierarchical materials, calcium carbonate, nacre, and biomimetic design.

  • Biomineralization
  • Bioinspired Materials
  • Nanocomposites
  • Crystallization
  • Mechanical Properties
  • Nanoscale Structure
  • Hierarchical Materials
  • Calcium Carbonate
  • Nacre
  • Biomimetic Design
Research works
20k
fractional, since 1950
In the world top 10%
3.2k
per year above
Top-10% rate
16.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+13%
the tick is no change

Which countries lead Calcium Carbonate Crystallization and Inhibition research?

By volume, China and the United States publish the most (1k and 349 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1k works
  2. 2 United States 349 works
  3. 3 India 148 works
  4. 4 Japan 134 works
  5. 5 France 128 works
  6. 6 Germany 124 works
  7. 7 United Kingdom 111 works
  8. 8 Indonesia 84 works
  9. 9 Russia 77 works
  10. 10 Italy 75 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%United States: 15.4%India: 6.5%Japan: 5.9%6 others listed: 26.3%46%largest
China1,044 · 45.9%United States349 · 15.4%India148 · 6.5%Japan134 · 5.9%6 others listed598 · 26.3%

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

Which institutions lead Calcium Carbonate Crystallization and Inhibition research?

By volume in 2022–2025, Central South University publishes the most Calcium Carbonate Crystallization and Inhibition research, followed by Chinese Academy of Sciences and Wuhan University of Technology.

Who are the leading researchers in Calcium Carbonate Crystallization and Inhibition?

The most-cited researchers publishing on Calcium Carbonate Crystallization and Inhibition include Jiaguo Yu, Lei Jiang and Markus Antonietti.

  1. 1 Jiaguo Yu China 4.2k citations
  2. 2 Lei Jiang China 3.8k citations
  3. 3 Markus Antonietti Germany 3.2k citations
  4. 4 Julian D. Gale Australia 3.1k citations
  5. 5 Tuan Ngo Australia 2.6k citations

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

Where is Calcium Carbonate Crystallization and Inhibition research done?

The largest centres of Calcium Carbonate Crystallization and Inhibition research in 2022–2025 are Beijing (China), Wuhan (China), Chengdu (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Dhahran and Qingdao.

Largest cities, 2022–2025

  1. 1 Beijing China 169 works
  2. 2 Wuhan China 63 works
  3. 3 Chengdu China 55 works
  4. 4 Nanjing China 55 works
  5. 5 Qingdao China 47 works
  6. 6 Xi'an China 47 works
  7. 7 Paris France 46 works
  8. 8 Tokyo Japan 45 works
  9. 9 Shanghai China 40 works
  10. 10 Guangzhou China 34 works

Where it is the local speciality

  1. DhahranSA · 20.5 works14×
  2. QingdaoCN · 46.8 works4.3×
← less than its size predictsmore →

Location quotient: how much more of its research is in Calcium Carbonate Crystallization and Inhibition than the world average.

See Calcium Carbonate Crystallization and Inhibition on the map

Where is the best place to study Calcium Carbonate Crystallization and Inhibition?

Among universities, judged by research, King Fahd University of Petroleum and Minerals, Central South University and Wuhan University 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%20%40%mean 19.45%fractional works in this node (log) →share in the world top 10% →King Fahd University of Petroleum and Minerals: 11, 20.7%Central South University: 22, 29.9%Wuhan University of Technology: 18, 25.4%Chengdu University of Technology: 17, 2.6%Nanyang Technological University: 9, 30.3%Rice University: 10, 16.0%Northeastern University: 13, 27.4%Xi'an University of Architecture and Technology: 11, 18.2%Technical University of Denmark: 12, 5.2%Ocean University of China: 12, 18.8%Central South Univer…Wuhan University of …King Fahd University…Chengdu University o…
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 King Fahd University of Petroleum and MineralsSaudi Arabia 58.520.7%9.6×11 +23.8%
2 Central South UniversityChina 56.229.9%4.2×22 -0.6%
3 Wuhan University of TechnologyChina 55.225.4%7.2×18 -21.7%
4 Chengdu University of TechnologyChina 53.02.6%18.8×17 +70.2%
5 Nanyang Technological UniversitySingapore 52.630.3%3.5×9 +79.2%
6 Rice UniversityUnited States 49.216.0%13.8×10 +11.0%
7 Northeastern UniversityChina 46.527.4%4.8×13 +14.3%
8 Xi'an University of Architecture and TechnologyChina 45.718.2%11.0×11 -31.0%
9 Technical University of DenmarkDenmark 44.95.2%7.5×12 +49.3%
10 Ocean University of ChinaChina 44.418.8%7.4×12 -4.6%

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 Calcium Carbonate Crystallization and Inhibition research growing?

Output in 2018–2022 was 13% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Calcium Carbonate Crystallization and Inhibition.

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.