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Topic · Food Science

Polysaccharides Composition and Applications

Polysaccharides Composition and Applications is a research topic within Food Science. Science Explorer counts 31k research works in it since 1950. 26.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the production, properties, and applications of hydrocolloids, particularly in food and biomedical fields. It covers a wide range of hydrocolloids such as xanthan gum, guar gum, gellan gum, pullulan, konjac glucomannan, and locust bean gum. The papers discuss their rheological properties, microbial production, antioxidant activity, molecular structure, and various food and biomedical applications.

  • Hydrocolloids
  • Thickening Agents
  • Gelling Agents
  • Biomedical Applications
  • Food Applications
  • Rheological Properties
  • Exopolysaccharides
  • Microbial Production
  • Antioxidant Activity
  • Molecular Structure
Research works
31k
fractional, since 1950
In the world top 10%
8.1k
per year above
Top-10% rate
26.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+47%
the tick is no change

Which countries lead Polysaccharides Composition and Applications research?

By volume, China and India publish the most (2.2k and 761 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 2.2k works
  2. 2 India 761 works
  3. 3 Indonesia 482 works
  4. 4 United States 297 works
  5. 5 Brazil 245 works
  6. 6 Türkiye 210 works
  7. 7 Iran 203 works
  8. 8 Mexico 151 works
  9. 9 France 131 works
  10. 10 Spain 114 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: 46.3%India: 15.8%Indonesia: 10.0%United States: 6.2%6 others listed: 21.8%46%largest
China2,234 · 46.3%India761 · 15.8%Indonesia482 · 10.0%United States297 · 6.2%6 others listed1,055 · 21.8%

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

Which institutions lead Polysaccharides Composition and Applications research?

By volume in 2022–2025, State Key Laboratory of Food Science and Technology publishes the most Polysaccharides Composition and Applications research, followed by Jiangnan University and Northeast Agricultural University.

Who are the leading researchers in Polysaccharides Composition and Applications?

The most-cited researchers publishing on Polysaccharides Composition and Applications include Hongjie Dai, David Julian McClements and Aibing Yu.

  1. 1 Hongjie Dai United States 5.8k citations
  2. 2 David Julian McClements United States 4.1k citations
  3. 3 Aibing Yu Australia 2.2k citations

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

Where is Polysaccharides Composition and Applications research done?

The largest centres of Polysaccharides Composition and Applications research in 2022–2025 are Beijing (China), Wuxi (China), Wuhan (China) and Guangzhou (China). 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 244 works
  2. 2 Wuxi China 137 works
  3. 3 Wuhan China 124 works
  4. 4 Guangzhou China 101 works
  5. 5 Harbin China 100 works
  6. 6 Nanjing China 85 works
  7. 7 Zhengzhou China 74 works
  8. 8 Hangzhou China 73 works
  9. 9 Tehran Iran 66 works
  10. 10 Shanghai China 66 works

Where it is the local speciality

  1. WuxiCN · 136.9 works21×
← less than its size predictsmore →

Location quotient: how much more of its research is in Polysaccharides Composition and Applications than the world average.

See Polysaccharides Composition and Applications on the map

Where is the best place to study Polysaccharides Composition and Applications?

Among universities, judged by research, Northeast Agricultural University, Beijing Technology and Business University 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%50%100%mean 61.86%fractional works in this node (log) →share in the world top 10% →Northeast Agricultural University: 52, 77.1%Beijing Technology and Business University: 30, 50.1%Jiangnan University: 65, 55.6%Northwest A&F University: 24, 60.3%Huazhong Agricultural University: 42, 52.8%Wageningen University & Research: 24, 55.7%Nanchang University: 25, 66.8%China Agricultural University: 36, 61.3%Tianjin University of Science and Technology: 31, 51.7%Chongqing Normal University: 8, 87.2%Northeast Agricultur…Northwest A&F Univer…Jiangnan UniversityBeijing Technology a…
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 Northeast Agricultural UniversityChina 71.677.1%28.3×52 -20.0%
2 Beijing Technology and Business UniversityChina 70.550.1%20.5×30 +187.5%
3 Jiangnan UniversityChina 69.255.6%15.7×65 +5.7%
4 Northwest A&F UniversityChina 67.560.3%8.8×24 +146.9%
5 Huazhong Agricultural UniversityChina 66.852.8%18.3×42 +31.6%
6 Wageningen University & ResearchNetherlands 66.855.7%9.7×24 +31.2%
7 Nanchang UniversityChina 66.066.8%7.5×25 +151.4%
8 China Agricultural UniversityChina 65.561.3%9.2×36 +28.2%
9 Tianjin University of Science and TechnologyChina 63.851.7%23.3×31 +64.1%
10 Chongqing Normal UniversityChina 62.187.2%9.0×8 +80.0%

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 Polysaccharides Composition and Applications research growing?

Output in 2018–2022 was 47% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Polysaccharides Composition and Applications.

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.