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Microbial Metabolites in Food Biotechnology

Microbial Metabolites in Food Biotechnology is a research topic within Nutrition and Dietetics. Science Explorer counts 44k research works in it since 1950. 22.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the role of fructans, such as inulin and oligofructose, in nutrition and health. It covers their impact on gut microbiota, calcium absorption, immune modulation, and their potential as prebiotics and dietary fiber. The papers also discuss the health benefits and applications of fructans in functional foods.

  • Fructans
  • Inulin
  • Oligofructose
  • Prebiotics
  • Health Benefits
  • Dietary Fiber
  • Gut Microbiota
  • Calcium Absorption
  • Immunomodulation
  • Functional Food
Research works
44k
fractional, since 1950
In the world top 10%
9.7k
per year above
Top-10% rate
22.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+26%
the tick is no change

This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.

Which countries lead Microbial Metabolites in Food Biotechnology research?

By volume, China and India publish the most (1.9k and 687 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.9k works
  2. 2 India 687 works
  3. 3 United States 365 works
  4. 4 Brazil 354 works
  5. 5 Indonesia 334 works
  6. 6 Russia 270 works
  7. 7 Mexico 232 works
  8. 8 Türkiye 232 works
  9. 9 Poland 181 works
  10. 10 Iran 179 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: 40.7%India: 14.4%United States: 7.6%Brazil: 7.4%6 others listed: 29.9%41%largest
China1,942 · 40.7%India687 · 14.4%United States365 · 7.6%Brazil354 · 7.4%6 others listed1,428 · 29.9%

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

Which institutions lead Microbial Metabolites in Food Biotechnology research?

By volume in 2022–2025, Jiangnan University publishes the most Microbial Metabolites in Food Biotechnology research, followed by State Key Laboratory of Food Science and Technology and Henan University of Technology.

Who are the leading researchers in Microbial Metabolites in Food Biotechnology?

The most-cited researchers publishing on Microbial Metabolites in Food Biotechnology include David Julian McClements, Seppo Salminen and Colin Hill.

  1. 1 David Julian McClements United States 4.1k citations
  2. 2 Seppo Salminen Finland 2.6k citations
  3. 3 Colin Hill Ireland 2.5k citations
  4. 4 Willem M. de Vos Netherlands 2.5k citations

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

Where is Microbial Metabolites in Food Biotechnology research done?

The largest centres of Microbial Metabolites in Food Biotechnology research in 2022–2025 are Beijing (China), Wuxi (China), Nanjing (China) and Moscow (Russia). 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 242 works
  2. 2 Wuxi China 150 works
  3. 3 Nanjing China 90 works
  4. 4 Moscow Russia 89 works
  5. 5 Guangzhou China 85 works
  6. 6 Zhengzhou China 81 works
  7. 7 Mexico City Mexico 68 works
  8. 8 Hangzhou China 68 works
  9. 9 Tehran Iran 68 works
  10. 10 Shanghai China 65 works

Where it is the local speciality

  1. WuxiCN · 149.6 works21×
← less than its size predictsmore →

Location quotient: how much more of its research is in Microbial Metabolites in Food Biotechnology than the world average.

See Microbial Metabolites in Food Biotechnology on the map

Where is the best place to study Microbial Metabolites in Food Biotechnology?

Among universities, judged by research, Northwest A&F University, Henan University of Technology and Jiangnan 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%25%50%75%mean 50.7%fractional works in this node (log) →share in the world top 10% →Northwest A&F University: 35, 53.4%Henan University of Technology: 40, 45.5%Jiangnan University: 76, 38.4%Wuhan Polytechnic University: 16, 42.4%Beijing Technology and Business University: 26, 45.5%Nanjing University of Finance and Economics: 14, 57.1%Fujian Agriculture and Forestry University: 24, 43.4%Zhejiang Gongshang University: 12, 58.6%Northeast Agricultural University: 21, 59.5%Guangdong Pharmaceutical University: 8, 63.2%Northwest A&F Univer…Henan University of …Wuhan Polytechnic Un…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
1 Northwest A&F UniversityChina 72.553.4%12.1×35 +53.9%
2 Henan University of TechnologyChina 70.845.5%25.9×40 +94.7%
3 Jiangnan UniversityChina 68.338.4%17.3×76 -1.4%
4 Wuhan Polytechnic UniversityChina 67.142.4%18.1×16 +301.5%
5 Beijing Technology and Business UniversityChina 64.545.5%16.7×26 +49.3%
6 Nanjing University of Finance and EconomicsChina 64.557.1%14.7×14
7 Fujian Agriculture and Forestry UniversityChina 64.443.4%13.7×24 +62.3%
8 Zhejiang Gongshang UniversityChina 64.458.6%10.5×12 +36.5%
9 Northeast Agricultural UniversityChina 62.759.5%10.9×21 -57.1%
10 Guangdong Pharmaceutical UniversityChina 62.463.2%10.6×8

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 Microbial Metabolites in Food Biotechnology research growing?

Output in 2018–2022 was 26% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Microbial Metabolites in Food Biotechnology.

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.