Science Explorer Interactive view Map

Food composition and properties

Food composition and properties is a research topic within Nutrition and Dietetics. Science Explorer counts 51k research works in it since 1950. 20.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the role of dietary fiber, glycemic index, starch, and whole grains in human health. It covers topics such as the health benefits of dietary fiber, glycemic index methodology, physicochemical properties of starch, and the impact of whole grain consumption on metabolic health.

  • Dietary Fiber
  • Glycemic Index
  • Starch
  • Health Benefits
  • Whole Grain
  • Resistant Starch
  • Physicochemical Properties
  • Metabolic Health
  • Cereal Grains
  • Rheological Properties
Research works
51k
fractional, since 1950
In the world top 10%
10k
per year above
Top-10% rate
20.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+43%
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 Food composition and properties research?

By volume, China and India publish the most (3.2k and 1.2k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 3.2k works
  2. 2 India 1.2k works
  3. 3 Indonesia 885 works
  4. 4 United States 624 works
  5. 5 Brazil 446 works
  6. 6 Nigeria 442 works
  7. 7 Türkiye 331 works
  8. 8 Mexico 244 works
  9. 9 Italy 231 works
  10. 10 Iran 208 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: 40.5%India: 15.8%Indonesia: 11.3%United States: 8.0%6 others listed: 24.4%40%largest
China3,163 · 40.5%India1,237 · 15.8%Indonesia885 · 11.3%United States624 · 8.0%6 others listed1,902 · 24.4%

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

Which institutions lead Food composition and properties research?

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

Who are the leading researchers in Food composition and properties?

The most-cited researchers publishing on Food composition and properties include Walter C. Willett, David Julian McClements and JoAnn E. Manson.

  1. 1 Walter C. Willett United States 6.8k citations
  2. 2 David Julian McClements United States 4.1k citations
  3. 3 JoAnn E. Manson United States 4k citations
  4. 4 Nicoletta Pellegrini Italy 3.9k citations
  5. 5 Frank B. Hu United States 3.5k citations

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

Where is Food composition and properties research done?

The largest centres of Food composition and properties research in 2022–2025 are Beijing (China), Wuxi (China), Zhengzhou (China) and Harbin (China). Among places with at least 20 works in it, it is an unusually large share of all research in Sangrur, Umuahia and Wuxi.

Largest cities, 2022–2025

  1. 1 Beijing China 396 works
  2. 2 Wuxi China 258 works
  3. 3 Zhengzhou China 192 works
  4. 4 Harbin China 144 works
  5. 5 Jakarta Indonesia 141 works
  6. 6 Guangzhou China 129 works
  7. 7 Nanjing China 127 works
  8. 8 Wuhan China 121 works
  9. 9 Hangzhou China 94 works
  10. 10 Shanghai China 91 works

Where it is the local speciality

  1. SangrurIN · 35.9 works62×
  2. UmuahiaNG · 25.3 works31×
  3. WuxiCN · 257.9 works23×
  4. LudhianaIN · 70.6 works18×
  5. TezpurIN · 22.0 works17×
← less than its size predictsmore →

Location quotient: how much more of its research is in Food composition and properties than the world average.

See Food composition and properties on the map

Where is the best place to study Food composition and properties?

Among universities, judged by research, Northeast Agricultural University, Northwest A&F 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%25%50%75%mean 42.61%fractional works in this node (log) →share in the world top 10% →Northeast Agricultural University: 85, 60.5%Northwest A&F University: 61, 51.0%Jiangnan University: 130, 42.5%Beijing Technology and Business University: 50, 40.6%Nanjing Agricultural University: 45, 43.0%Wageningen University & Research: 44, 41.2%Sant Longowal Institute of Engineering and Technology: 36, 27.9%University of Manitoba: 38, 38.5%China Agricultural University: 69, 41.9%Henan University of Technology: 110, 39.0%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 73.360.5%27.7×85 -37.2%
2 Northwest A&F UniversityChina 72.751.0%13.4×61 +49.7%
3 Jiangnan UniversityChina 70.642.5%18.7×130 +1.7%
4 Beijing Technology and Business UniversityChina 69.540.6%20.2×50 +120.0%
5 Nanjing Agricultural UniversityChina 67.943.0%9.9×45 +80.7%
6 Wageningen University & ResearchNetherlands 66.341.2%10.4×44 +5.6%
7 Sant Longowal Institute of Engineering and TechnologyIndia 65.127.9%62.1×36 +341.9%
8 University of ManitobaCanada 64.738.5%10.4×38 +47.3%
9 China Agricultural UniversityChina 64.341.9%10.6×69 -27.8%
10 Henan University of TechnologyChina 64.239.0%46.0×110 -51.7%

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 Food composition and properties research growing?

Output in 2018–2022 was 43% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Food composition and properties.

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.