Science Explorer Interactive view Map

Water Treatment and Disinfection

Water Treatment and Disinfection is a research topic within Health, Toxicology and Mutagenesis. Science Explorer counts 24k research works in it since 1950. 20.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the occurrence, genotoxicity, and carcinogenicity of disinfection by-products (DBPs) in drinking water, with a specific emphasis on the effects of chlorination and alternative disinfectants. It also explores the formation, control, and health implications of various DBPs, including nitrosamines, haloacetic acids, and halonitromethanes. The cluster delves into the microbial ecology of drinking water distribution systems and the characterization of natural organic matter in relation to DBP formation.

  • Disinfection By-Products
  • Drinking Water
  • Genotoxicity
  • Carcinogenicity
  • Water Treatment
  • Chlorination
  • Nitrosamines
  • Microbial Ecology
  • Natural Organic Matter
  • Health Effects
Research works
24k
fractional, since 1950
In the world top 10%
4.8k
per year above
Top-10% rate
20.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+22%
the tick is no change

Which countries lead Water Treatment and Disinfection research?

By volume, China and the United States publish the most (1.8k and 487 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.8k works
  2. 2 United States 487 works
  3. 3 India 224 works
  4. 4 Canada 122 works
  5. 5 Spain 110 works
  6. 6 Germany 101 works
  7. 7 South Korea 97 works
  8. 8 United Kingdom 92 works
  9. 9 Japan 89 works
  10. 10 Brazil 83 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: 56.6%United States: 15.1%India: 6.9%Canada: 3.8%6 others listed: 17.6%57%largest
China1,831 · 56.6%United States487 · 15.1%India224 · 6.9%Canada122 · 3.8%6 others listed571 · 17.6%

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

Which institutions lead Water Treatment and Disinfection research?

By volume in 2022–2025, Harbin Institute of Technology publishes the most Water Treatment and Disinfection research, followed by Beijing University of Technology and State Key Laboratory of Pollution Control and Resource Reuse.

Who are the leading researchers in Water Treatment and Disinfection?

The most-cited researchers publishing on Water Treatment and Disinfection include Guangming Zeng, Menachem Elimelech and Dionysios D. Dionysiou.

  1. 1 Guangming Zeng China 5.6k citations
  2. 2 Menachem Elimelech United States 3k citations
  3. 3 Dionysios D. Dionysiou United States 2.1k citations

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

Where is Water Treatment and Disinfection research done?

The largest centres of Water Treatment and Disinfection research in 2022–2025 are Beijing (China), Nanjing (China), Shanghai (China) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Xiamen.

Largest cities, 2022–2025

  1. 1 Beijing China 415 works
  2. 2 Nanjing China 176 works
  3. 3 Shanghai China 120 works
  4. 4 Guangzhou China 111 works
  5. 5 Hangzhou China 75 works
  6. 6 Harbin China 74 works
  7. 7 Xi'an China 68 works
  8. 8 Tianjin China 65 works
  9. 9 Wuhan China 62 works
  10. 10 Qingdao China 40 works

Where it is the local speciality

  1. XiamenCN · 38.6 works5.6×
← less than its size predictsmore →

Location quotient: how much more of its research is in Water Treatment and Disinfection than the world average.

See Water Treatment and Disinfection on the map

Where is the best place to study Water Treatment and Disinfection?

Among universities, judged by research, Beijing University of Technology, Hohai University and Harbin Institute 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 27.43%fractional works in this node (log) →share in the world top 10% →Beijing University of Technology: 58, 21.1%Hohai University: 24, 27.4%Harbin Institute of Technology: 66, 24.3%Hong Kong University of Science and Technology: 9, 41.3%Xi'an University of Architecture and Technology: 35, 22.1%Suzhou University of Science and Technology: 13, 20.5%Tongji University: 44, 26.1%Hunan University: 15, 31.6%Sun Yat-sen University: 29, 29.6%Guangdong University of Technology: 14, 30.3%Hong Kong University…Hohai UniversityHarbin Institute of …Beijing 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 Beijing University of TechnologyChina 60.121.1%18.8×58 +33.5%
2 Hohai UniversityChina 59.227.4%9.9×24 +52.2%
3 Harbin Institute of TechnologyChina 59.024.3%9.2×66 -20.3%
4 Hong Kong University of Science and TechnologyHong Kong 56.641.3%5.2×9 +45.4%
5 Xi'an University of Architecture and TechnologyChina 56.522.1%26.3×35 +45.4%
6 Suzhou University of Science and TechnologyChina 55.220.5%13.9×13 +181.5%
7 Tongji UniversityChina 53.726.1%7.9×44 -20.9%
8 Hunan UniversityChina 53.631.6%4.9×15 +395.1%
9 Sun Yat-sen UniversityChina 51.429.6%4.3×29 +119.2%
10 Guangdong University of TechnologyChina 50.630.3%6.0×14 +136.1%

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 Water Treatment and Disinfection research growing?

Output in 2018–2022 was 22% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Water Treatment and Disinfection.

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.