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Topic · Molecular Biology

Identification and Quantification in Food

Identification and Quantification in Food is a research topic within Molecular Biology. Science Explorer counts 39k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the use of DNA barcoding and PCR-based methods for authenticating food products, detecting fraud, and identifying species in fish and meat. It addresses issues such as market substitution, mislabeling, and adulteration, with a specific emphasis on traceability and species identification in the food industry.

  • DNA Barcoding
  • Food Authentication
  • Fraud Detection
  • Species Identification
  • Fish Species
  • Meat Products
  • PCR-based Methods
  • Adulteration
  • Market Substitution
  • Traceability
Research works
39k
fractional, since 1950
In the world top 10%
3.9k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+18%
the tick is no change
Largest producer
China
31% of the 10 largest, 2022-now
Identification and Quantification in Food

Which countries lead Identification and Quantification in Food research?

By volume, China and India publish the most (1.7k and 875 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.7k works
  2. 2 India 875 works
  3. 3 United States 768 works
  4. 4 Indonesia 727 works
  5. 5 Japan 265 works
  6. 6 Brazil 255 works
  7. 7 Germany 253 works
  8. 8 Italy 248 works
  9. 9 Türkiye 245 works
  10. 10 United Kingdom 225 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: 30.6%India: 15.7%United States: 13.8%Indonesia: 13.1%6 others listed: 26.8%31%largest
China1,705 · 30.6%India875 · 15.7%United States768 · 13.8%Indonesia727 · 13.1%6 others listed1,492 · 26.8%

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

Which institutions lead Identification and Quantification in Food research?

By volume in 2022-now, Indian Council of Agricultural Research publishes the most Identification and Quantification in Food research, followed by Chinese Academy of Sciences and Russian Academy of Sciences.

By volume, 2022-now

  1. 1 Indian Council of Agricultural ResearchIndia 136 works
  2. 2 Chinese Academy of SciencesChina 85 works
  3. 3 Russian Academy of SciencesRussia 79 works
  4. 4 Chinese Academy of Agricultural SciencesChina 69 works
  5. 5 Centre National de la Recherche ScientifiqueFrance 64 works
  6. 6 Staatliches Museum für Naturkunde StuttgartGermany 61 works
  7. 7 Hebrew University of JerusalemIsrael 61 works
  8. 8 IPB UniversityIndonesia 60 works
  9. 9 Ministry of Agriculture and Rural AffairsChina 47 works
  10. 10 Consejo Superior de Investigaciones CientíficasSpain 44 works

Who are the leading researchers in Identification and Quantification in Food?

The most-cited researchers publishing on Identification and Quantification in Food include Rob Knight, Simon Iain Hay and Richard M. Durbin.

  1. 1 Rob Knight United States 468k citations
  2. 2 Simon Iain Hay United States 452k citations
  3. 3 Richard M. Durbin United Kingdom 410k citations
  4. 4 Steven L. Salzberg United States 372k citations
  5. 5 Jun Wang China 340k citations
  6. 6 Matthias Mann Germany 308k citations
  7. 7 Wei Huang China 267k citations
  8. 8 Yann LeCun United States 256k citations
  9. 9 Andrew Zisserman United Kingdom 255k 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 Identification and Quantification in Food?

The most cited paper in Identification and Quantification in Food is "Biological identifications through DNA barcodes" (Paul D. N. Hebert, Alina Cywinska, Shelley L. Ball et al., 2003), with 13,617 citations. Next come "An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database" (6,681) and "Shifting the genomic gold standard for the prokaryotic species definition" (6,514).

Most cited papers
#PaperReleasedCitations
1 Biological identifications through DNA barcodes Paul D. N. Hebert, Alina Cywinska, Shelley L. Ball et al. · Proceedings of the Royal Society B Biological Sciences Open access 7 Feb 2003 13,617
2 An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database Jimmy K. Eng, Ashley L. McCormack, John R. Yates · Journal of the American Society for Mass Spectrometry Nov 1994 6,681
3 Shifting the genomic gold standard for the prokaryotic species definition Michael Richter, Ramon A. Rossello-Mora · Proceedings of the National Academy of Sciences Open access 23 Oct 2009 6,514
4 bold : The Barcode of Life Data System (http://www.barcodinglife.org) Sujeevan Ratnasingham, Paul D. N. Hebert · Molecular Ecology Notes Open access 24 Jan 2007 6,485
5 Evolution, Weighting, and Phylogenetic Utility of Mitochondrial Gene Sequences and a Compilation of Conserved Polymerase Chain Reaction Primers Chris M. Simon, Francesco Frati, Andrew T. Beckenbach et al. · Annals of the Entomological Society of America Nov 1994 6,249
All 100 most cited papers, with filters and sorting

Where is Identification and Quantification in Food research done?

The largest centres of Identification and Quantification in Food research in 2022-now are Beijing (China), Jakarta (Indonesia), Shanghai (China) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Keelung, Zhoushan and Ernakulam.

Largest cities, 2022-now

  1. 1 BeijingChina 315 works
  2. 2 JakartaIndonesia 102 works
  3. 3 ShanghaiChina 97 works
  4. 4 GuangzhouChina 93 works
  5. 5 MoscowRussia 90 works
  6. 6 TokyoJapan 69 works
  7. 7 QingdaoChina 68 works
  8. 8 NanjingChina 68 works
  9. 9 BogorIndonesia 67 works
  10. 10 StuttgartGermany 67 works

Where it is the local speciality

  1. KeelungTW · 22.2 works27×
  2. ZhoushanCN · 28.5 works16×
  3. ErnakulamIN · 57.2 works15×
← less than its size predicts1×more →

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

See Identification and Quantification in Food on the map

Where is the best place to study Identification and Quantification in Food?

Among universities, judged by research, Jiangsu University, Wageningen University & Research and Hebrew University of Jerusalem 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 24.12%fractional works in this field (log) →share of work in the world top 10% →Jiangsu UniversityChina Agricultural U…Wageningen Universit…Hebrew University of…
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
1Jiangsu UniversityChina 75.444.8%3.7×24 +96.7%
2Wageningen University & ResearchNetherlands 57.618.3%6.5×19 +24.9%
3Hebrew University of JerusalemIsrael 56.00.3%14.5×61 +11.5%
4China Agricultural UniversityChina 55.421.6%5.8×26 +72.0%
5Shanghai Ocean UniversityChina 54.510.0%23.6×43 +122.9%
6Dalian Polytechnic UniversityChina 52.636.5%6.9×10 +306.2%
7Jiangnan UniversityChina 52.228.9%3.4×16 +199.5%
8Nanjing Agricultural UniversityChina 47.919.8%5.7×18 +42.0%
9Nanchang UniversityChina 47.927.9%2.5×15 +68.8%
10Zhejiang UniversityChina 47.633.1%0.7×16 +22.0%

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 Identification and Quantification in Food, country by country

Is Identification and Quantification in Food research growing?

Output in 2022-2025 was 18% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Identification and Quantification in Food.

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 Identification and Quantification in Food as a percentage of every work published that year, 0.043% in 2024.

still counting0.020%0.040%0.060%Identification and Quantification in Food0.039% in 202519801990200020102020

Fractional works of Identification and Quantification in Food 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%Identification and Quantification in Food10.2% 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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