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Topic · Plant Science

Enzyme-mediated dye degradation

Enzyme-mediated dye degradation is a research topic within Plant Science. Science Explorer counts 17k research works in it since 1950. 30.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the enzymatic degradation of lignin and the bioremediation of textile wastewaters through processes such as laccases, peroxidases, and fungal genomes. It explores the decolorization and detoxification of synthetic dyes, the potential applications of oxidative enzymes, and the role of white-rot fungi in the treatment of industrial dye effluents.

  • Laccases
  • Enzymatic Decolorization
  • Fungal Genomes
  • Azo Dyes
  • Biodegradation
  • Textile Wastewaters
  • White-Rot Fungi
  • Peroxidases
  • Ligninolytic Enzymes
  • Bioremediation
Research works
17k
fractional, since 1950
In the world top 10%
5.3k
per year above
Top-10% rate
30.8%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+25%
the tick is no change

Which countries lead Enzyme-mediated dye degradation research?

By volume, China and India publish the most (776 and 452 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 776 works
  2. 2 India 452 works
  3. 3 United States 146 works
  4. 4 Brazil 138 works
  5. 5 Japan 73 works
  6. 6 Indonesia 69 works
  7. 7 Pakistan 63 works
  8. 8 Türkiye 61 works
  9. 9 France 59 works
  10. 10 Iran 57 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: 41.0%India: 23.9%United States: 7.7%Brazil: 7.3%6 others listed: 20.2%41%largest
China776 · 41.0%India452 · 23.9%United States146 · 7.7%Brazil138 · 7.3%6 others listed382 · 20.2%

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

Which institutions lead Enzyme-mediated dye degradation research?

By volume in 2022–2025, Nanjing Forestry University publishes the most Enzyme-mediated dye degradation research, followed by Jiangnan University and South China University of Technology.

By volume, 2022–2025

  1. 1 Nanjing Forestry University China 24 works
  2. 2 Jiangnan University China 19 works
  3. 3 South China University of Technology China 15 works
  4. 4 National Research Centre Egypt 14 works
  5. 5 Chinese Academy of Sciences China 14 works
  6. 6 Guangxi University China 13 works
  7. 7 Beijing Forestry University China 13 works
  8. 8 Jiangsu University China 12 works
  9. 9 Universidade de São Paulo Brazil 11 works
  10. 10 University of Belgrade Serbia 11 works

Who are the leading researchers in Enzyme-mediated dye degradation?

The most-cited researchers publishing on Enzyme-mediated dye degradation include Guangming Zeng, Kevin D. Hyde and Danlian Huang.

  1. 1 Guangming Zeng 5.6k citations
  2. 2 Kevin D. Hyde 4.8k citations
  3. 3 Danlian Huang 1.9k citations

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

Where is Enzyme-mediated dye degradation research done?

The largest centres of Enzyme-mediated dye degradation research in 2022–2025 are Beijing (China), Nanjing (China), Guangzhou (China) and New Delhi (India). Among places with at least 20 works in it, it is an unusually large share of all research in Wuxi.

Largest cities, 2022–2025

  1. 1 Beijing China 112 works
  2. 2 Nanjing China 66 works
  3. 3 Guangzhou China 38 works
  4. 4 New Delhi India 35 works
  5. 5 Tianjin China 32 works
  6. 6 Chennai India 29 works
  7. 7 Wuhan China 29 works
  8. 8 Shanghai China 28 works
  9. 9 Jinan China 26 works
  10. 10 Tehran Iran 25 works

Where it is the local speciality

  1. WuxiCN · 22.1 works8.0×
← less than its size predictsmore →

Location quotient: how much more of its research is in Enzyme-mediated dye degradation than the world average.

See Enzyme-mediated dye degradation on the map

Where is the best place to study Enzyme-mediated dye degradation?

Among universities, judged by research, Jiangsu University, Nanjing Forestry University and Guangxi 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 34.42%fractional works in this node (log) →share in the world top 10% →Jiangsu University: 12, 52.5%Nanjing Forestry University: 24, 30.6%Guangxi University: 13, 39.0%Jiangnan University: 19, 26.5%Dalian Polytechnic University: 10, 34.9%Tianjin University of Science and Technology: 9, 45.2%Qilu University of Technology: 10, 27.6%Beijing Forestry University: 13, 27.8%BOKU University: 9, 25.4%Northeast Forestry University: 9, 34.7%Jiangsu UniversityGuangxi UniversityNanjing Forestry Uni…Jiangnan 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
1Jiangsu University China 60.952.5%5.6×12 +103.6%
2Nanjing Forestry University China 59.230.6%18.0×24 -24.2%
3Guangxi University China 58.839.0%7.7×13 +144.2%
4Jiangnan University China 52.426.5%10.8×19 -1.7%
5Dalian Polytechnic University China 51.934.9%20.3×10 +72.9%
6Tianjin University of Science and Technology China 51.645.2%15.5×9 -15.2%
7Qilu University of Technology China 46.827.6%15.5×10 +64.3%
8Beijing Forestry University China 46.027.8%16.0×13 -8.4%
9BOKU University Austria 44.325.4%29.4×9 -5.7%
10Northeast Forestry University China 41.634.7%10.7×9 -52.8%

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 Enzyme-mediated dye degradation research growing?

Output in 2018–2022 was 25% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Enzyme-mediated dye degradation.

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.