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Microbial Applications in Construction Materials

Microbial Applications in Construction Materials is a research topic within Environmental Engineering. Science Explorer counts 8.3k research works in it since 1950. 19.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the use of microbial carbonate precipitation, particularly through the action of ureolytic bacteria, for soil improvement and self-healing concrete in construction. It explores biocementation, calcite precipitation, and biomineralization as sustainable techniques in geotechnical engineering, aiming to enhance the durability and strength of construction materials.

  • Microbial Carbonate Precipitation
  • Soil Improvement
  • Self-Healing Concrete
  • Biocementation
  • Ureolytic Bacteria
  • Calcite Precipitation
  • Geotechnical Engineering
  • Biomineralization
  • Bacterial Urease
  • Sustainable Construction
Research works
8.3k
fractional, since 1950
In the world top 10%
1.6k
per year above
Top-10% rate
19.7%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+132%
the tick is no change

Which countries lead Microbial Applications in Construction Materials research?

By volume, China and India publish the most (1.2k and 375 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.2k works
  2. 2 India 375 works
  3. 3 United States 177 works
  4. 4 Iran 83 works
  5. 5 United Kingdom 66 works
  6. 6 Japan 64 works
  7. 7 Türkiye 62 works
  8. 8 Indonesia 60 works
  9. 9 South Korea 58 works
  10. 10 Australia 47 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: 54.1%India: 17.3%United States: 8.2%Iran: 3.9%6 others listed: 16.5%54%largest
China1,172 · 54.1%India375 · 17.3%United States177 · 8.2%Iran83 · 3.9%6 others listed357 · 16.5%

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

Which institutions lead Microbial Applications in Construction Materials research?

By volume in 2022–2025, Southeast University publishes the most Microbial Applications in Construction Materials research, followed by Hohai University and Tongji University.

By volume, 2022–2025

  1. 1 Southeast University China 28 works
  2. 2 Hohai University China 25 works
  3. 3 Tongji University China 25 works
  4. 4 Chongqing University China 24 works
  5. 5 Xi'an University of Architecture and Technology China 19 works
  6. 6 Nanyang Technological University Singapore 19 works
  7. 7 Shandong University of Science and Technology China 17 works
  8. 8 Chang'an University China 17 works
  9. 9 Shandong University China 16 works
  10. 10 Zhengzhou University China 15 works

Who are the leading researchers in Microbial Applications in Construction Materials?

The most-cited researchers publishing on Microbial Applications in Construction Materials include Willy Verstraete and Surendra P. Shah.

  1. 1 Willy Verstraete 1.8k citations
  2. 2 Surendra P. Shah 1.8k citations

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

Where is Microbial Applications in Construction Materials research done?

The largest centres of Microbial Applications in Construction Materials research in 2022–2025 are Beijing (China), Nanjing (China), Wuhan (China) and Xi'an (China).

Largest cities, 2022–2025

  1. 1 Beijing China 128 works
  2. 2 Nanjing China 97 works
  3. 3 Wuhan China 75 works
  4. 4 Xi'an China 60 works
  5. 5 Shanghai China 47 works
  6. 6 Chongqing China 41 works
  7. 7 Qingdao China 40 works
  8. 8 Jinan China 37 works
  9. 9 Zhengzhou China 34 works
  10. 10 Changsha China 34 works
See Microbial Applications in Construction Materials on the map

Where is the best place to study Microbial Applications in Construction Materials?

Among universities, judged by research, Nanyang Technological University, Hohai University and Chongqing 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 36.86%fractional works in this node (log) →share in the world top 10% →Nanyang Technological University: 19, 48.8%Hohai University: 25, 25.7%Chongqing University: 24, 46.1%Southeast University: 28, 34.4%Liaoning Technical University: 9, 46.0%Xi'an University of Architecture and Technology: 19, 33.2%Shandong University of Science and Technology: 17, 26.7%Tongji University: 25, 32.5%Hong Kong Polytechnic University: 10, 44.8%Henan Polytechnic University: 12, 30.4%Nanyang Technologica…Chongqing UniversitySoutheast UniversityHohai 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
1Nanyang Technological University Singapore 86.748.8%8.1×19 +257.6%
2Hohai University China 72.525.7%15.7×25 +279.7%
3Chongqing University China 70.546.1%7.5×24
4Southeast University China 66.734.4%7.2×28 +100.5%
5Liaoning Technical University China 61.146.0%18.3×9
6Xi'an University of Architecture and Technology China 58.533.2%21.9×19 -30.0%
7Shandong University of Science and Technology China 56.926.7%12.0×17
8Tongji University China 55.832.5%6.6×25 +14.9%
9Hong Kong Polytechnic University Hong Kong 53.744.8%4.1×10
10Henan Polytechnic University China 53.230.4%13.9×12

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 Microbial Applications in Construction Materials research growing?

Output in 2018–2022 was 132% higher than in 2013–2017, peaking in 2026. The fastest-growing topics are Microbial Applications in Construction 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.