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Proteins in Food Systems

Proteins in Food Systems is a research topic within Food Science. Science Explorer counts 39k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the formation, stability, properties, and applications of nanoemulsions in food, particularly their interaction with proteins, hydrocolloids, and nanoparticles. It also explores the impact of nanoemulsions on digestion, lipid oxidation, and the potential use of biopolymer gels for nutraceutical delivery.

  • Nanoemulsions
  • Proteins
  • Emulsions
  • Digestion
  • Stabilization
  • Nanoparticles
  • Hydrocolloids
  • Lipid Oxidation
  • Biopolymer Gels
  • Nutraceutical Delivery
Research works
39k
fractional, since 1950
In the world top 10%
3.8k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+46%
the tick is no change
Largest producer
China
58% of the 10 largest, 2022-now

Which countries lead Proteins in Food Systems research?

By volume, China and India publish the most (4.4k and 696 works in 2022-now).

By volume, 2022-now

  1. 1 China 4.4k works
  2. 2 India 696 works
  3. 3 United States 651 works
  4. 4 Brazil 333 works
  5. 5 Türkiye 306 works
  6. 6 Iran 294 works
  7. 7 Canada 215 works
  8. 8 France 214 works
  9. 9 Spain 207 works
  10. 10 Germany 194 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: 58.4%India: 9.3%United States: 8.7%Brazil: 4.5%6 others listed: 19.1%58%largest
China4,368 · 58.4%India696 · 9.3%United States651 · 8.7%Brazil333 · 4.5%6 others listed1,430 · 19.1%

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

Which institutions lead Proteins in Food Systems research?

By volume in 2022-now, Northeast Agricultural University publishes the most Proteins in Food Systems research, followed by Nanchang University and Jiangnan University.

Who are the leading researchers in Proteins in Food Systems?

The most-cited researchers publishing on Proteins in Food Systems include Róbert Langer, Mark Gerstein and Younan Xia.

  1. 1 Róbert Langer United States 303k citations
  2. 2 Mark Gerstein United States 250k citations
  3. 3 Younan Xia United States 207k citations

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

What are the most cited papers in Proteins in Food Systems?

The most cited paper in Proteins in Food Systems is "A standardised static in vitro digestion method suitable for food – an international consensus" (Mans Minekus et al., 2014), with 5,749 citations. Next come "Protein folding and association: Insights from the interfacial and thermodynamic properties of hydrocarbons" (5,259) and "INFOGEST static in vitro simulation of gastrointestinal food digestion" (5,074).

Most cited papers
#PaperReleasedCitations
1 A standardised static in vitro digestion method suitable for food – an international consensus Mans Minekus et al. · Food & Function Open access 2014 5,749
2 Protein folding and association: Insights from the interfacial and thermodynamic properties of hydrocarbons Anthony O. Nicholls, Kim A. Sharp, Barry H. Honig · Proteins Structure Function and Bioinformatics Dec 1991 5,259
3 INFOGEST static in vitro simulation of gastrointestinal food digestion André Brodkorb et al. · Nature Protocols Open access 18 Mar 2019 5,074
4 Particles as surfactants—similarities and differences Bernard P. Binks · Current Opinion in Colloid & Interface Science Review Mar 2002 3,681
5 Examination of the secondary structure of proteins by deconvolved FTIR spectra D. Michael Byler, Heino Susi · Biopolymers Mar 1986 3,000
All 100 most cited papers, with filters and sorting

Where is Proteins in Food Systems research done?

The largest centres of Proteins in Food Systems research in 2022-now are Beijing (China), Harbin (China), Wuxi (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Sangrur, Carlow and Wuxi.

Largest cities, 2022-now

  1. 1 BeijingChina 487 works
  2. 2 HarbinChina 372 works
  3. 3 WuxiChina 349 works
  4. 4 WuhanChina 206 works
  5. 5 GuangzhouChina 204 works
  6. 6 NanjingChina 161 works
  7. 7 HangzhouChina 144 works
  8. 8 ZhengzhouChina 140 works
  9. 9 ShanghaiChina 126 works
  10. 10 DalianChina 113 works

Where it is the local speciality

  1. SangrurIN · 21.4 works42×
  2. CarlowIE · 28.1 works41×
  3. WuxiCN · 348.7 works34×
  4. WageningenNL · 103.8 works25×
  5. Palmerston NorthNZ · 43.8 works22×
  6. KarnālIN · 20.2 works21×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Proteins in Food Systems than the world average.

See Proteins in Food Systems on the map

Where is the best place to study Proteins in Food Systems?

Among universities, judged by research, Northeast Agricultural University, University of Massachusetts Amherst and Nanchang 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%mean 18.87%fractional works in this field (log) →share of work in the world top 10% →Northeast Agricultur…University of Massac…Nanchang UniversityWageningen Universit…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Northeast Agricultural UniversityChina 80.324.8%116.0×283 +198.7%
2University of Massachusetts AmherstUnited States 74.023.5%18.1×59 +9.7%
3Nanchang UniversityChina 72.017.0%30.2×212 +69.1%
4Wageningen University & ResearchNetherlands 68.211.2%29.2×99 +49.0%
5Zhejiang University of Science and TechnologyChina 66.933.4%8.0×14 +427.3%
6Jiangnan UniversityChina 66.313.0%32.8×181 +86.6%
7Huazhong Agricultural UniversityChina 64.115.0%27.8×87 +67.3%
8Beijing Technology and Business UniversityChina 63.116.2%50.1×99 +168.4%
9Northwest A&F UniversityChina 62.918.5%12.3×45 +78.0%
10Jiangsu UniversityChina 61.616.1%7.8×58 +91.5%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Proteins in Food Systems, country by country

Is Proteins in Food Systems research growing?

Output in 2022-2025 was 46% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Proteins in Food Systems.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Proteins in Food Systems as a percentage of every work published that year, 0.044% in 2024.

still counting0.020%0.040%0.060%Proteins in Food Systems0.048% in 202519801990200020102020

Fractional works of Proteins in Food Systems over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Proteins in Food Systems9.6% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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