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Topic · Immunology

Aquaculture disease management and microbiota

Aquaculture disease management and microbiota is a research topic within Immunology. Science Explorer counts 50k research works in it since 1950. 18.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the diverse immunological responses, including innate and adaptive immunity, stress modulation, probiotic and prebiotic applications, gut microbiota interactions, and disease control strategies in aquatic organisms, particularly fish. It also addresses the challenges of antibiotic resistance, viral diseases, and the use of medicinal herbs as immunostimulants in aquaculture.

  • Fish Immunology
  • Aquaculture
  • Probiotics
  • Innate Immunity
  • Gut Microbiota
  • Stress Response
  • Antibiotic Resistance
  • Viral Diseases
  • Cytokines
  • Pathogen Control
Research works
50k
fractional, since 1950
In the world top 10%
9k
per year above
Top-10% rate
18.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+33%
the tick is no change

Which countries lead Aquaculture disease management and microbiota research?

By volume, China and the United States publish the most (3.4k and 716 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 3.4k works
  2. 2 United States 716 works
  3. 3 India 708 works
  4. 4 Brazil 354 works
  5. 5 Egypt 277 works
  6. 6 South Korea 247 works
  7. 7 Japan 212 works
  8. 8 Spain 210 works
  9. 9 Indonesia 206 works
  10. 10 Iran 175 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: 52.4%United States: 11.0%India: 10.9%Brazil: 5.4%6 others listed: 20.4%52%largest
China3,411 · 52.4%United States716 · 11.0%India708 · 10.9%Brazil354 · 5.4%6 others listed1,326 · 20.4%

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

Which institutions lead Aquaculture disease management and microbiota research?

By volume in 2022–2025, Chinese Academy of Fishery Sciences publishes the most Aquaculture disease management and microbiota research, followed by Ministry of Agriculture and Rural Affairs and Shanghai Ocean University.

Who are the leading researchers in Aquaculture disease management and microbiota?

The most-cited researchers publishing on Aquaculture disease management and microbiota include Ove Hoegh‐Guldberg, A. Colorni and Jun Wang.

  1. 1 Ove Hoegh‐Guldberg Australia 2.9k citations
  2. 2 A. Colorni Israel 2.8k citations
  3. 3 Jun Wang China 2.7k citations
  4. 4 Robert E. W. Hancock Canada 2.2k citations
  5. 5 Rita R. Colwell 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 Aquaculture disease management and microbiota research done?

The largest centres of Aquaculture disease management and microbiota research in 2022–2025 are Beijing (China), Qingdao (China), Guangzhou (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Zhanjiang and Ås.

Largest cities, 2022–2025

  1. 1 Beijing China 560 works
  2. 2 Qingdao China 259 works
  3. 3 Guangzhou China 231 works
  4. 4 Shanghai China 198 works
  5. 5 Wuhan China 149 works
  6. 6 Zhanjiang China 123 works
  7. 7 Ningbo China 111 works
  8. 8 Nanjing China 104 works
  9. 9 Xiamen China 98 works
  10. 10 Dalian China 81 works

Where it is the local speciality

  1. ZhanjiangCN · 122.9 works37×
  2. ÅsNO · 28.3 works33×
← less than its size predictsmore →

Location quotient: how much more of its research is in Aquaculture disease management and microbiota than the world average.

See Aquaculture disease management and microbiota on the map

Where is the best place to study Aquaculture disease management and microbiota?

Among universities, judged by research, Kafrelsheikh University, Huzhou University and Shantou 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 35.68%fractional works in this node (log) →share in the world top 10% →Kafrelsheikh University: 19, 51.4%Huzhou University: 19, 44.7%Shantou University: 18, 37.6%Ningbo University: 94, 28.1%Suez Canal University: 20, 28.3%Hainan University: 44, 21.9%Nanjing Agricultural University: 44, 37.3%Alexandria University: 18, 51.2%Shanghai Ocean University: 127, 28.7%Guangdong Ocean University: 116, 27.6%Kafrelsheikh Univers…Huzhou UniversityShantou UniversityNingbo 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
1 Kafrelsheikh UniversityEgypt 81.151.4%17.2×19 +1397.8%
2 Huzhou UniversityChina 70.044.7%12.6×19 +146.6%
3 Shantou UniversityChina 69.637.6%11.0×18 +219.4%
4 Ningbo UniversityChina 66.528.1%19.1×94 +88.2%
5 Suez Canal UniversityEgypt 65.628.3%11.7×20 +233.1%
6 Hainan UniversityChina 64.621.9%10.7×44 +306.2%
7 Nanjing Agricultural UniversityChina 64.337.3%12.1×44 +33.4%
8 Alexandria UniversityEgypt 63.151.2%4.1×18 +387.2%
9 Shanghai Ocean UniversityChina 62.728.7%59.8×127 -15.5%
10 Guangdong Ocean UniversityChina 62.327.6%79.0×116 +10.9%

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 Aquaculture disease management and microbiota research growing?

Output in 2018–2022 was 33% higher than in 2013–2017, peaking in 2022. The fastest-growing topics are Aquaculture disease management and microbiota.

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.