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Chemistry
Australia
2025

D-Index & Metrics

Chemistry

D-Index
80
Citations
17979
World Ranking
3515
National Ranking
90

Daniel Cozzolino publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Daniel Cozzolino sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 358 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Daniel Cozzolino D-index placement in Chemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Daniel Cozzolino sits on this spectrum.

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 80 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Chemistry in Australia Leader Award
  • 2022 - Research.com Chemistry in Australia Leader Award

Overview

Daniel Cozzolino is affiliated with the University of Queensland in Australia and has contributed extensively to research primarily within the fields of Agricultural and Biological Sciences and Biochemistry, Genetics and Molecular Biology. Their work spans several subfields, including Analytical Chemistry, Food Science, Biomedical Engineering, Molecular Biology, and Animal Science and Zoology.

Their research focuses on topics such as Spectroscopy and Chemometric Analyses, Advanced Chemical Sensor Technologies, Meat and Animal Product Quality, Spectroscopy Techniques in Biomedical and Chemical Research, Identification and Quantification in Food, Essential Oils and Antimicrobial Activity, and Phytochemicals and Antioxidant Activities.

Among their recent published papers are:

  • Antimicrobial Metal Nanomaterials: From Passive to Stimuli-Activated Applications (2020, Advanced Science)
  • Antibacterial Liquid Metals: Biofilm Treatment via Magnetic Activation (2020, ACS Nano)
  • Emerging non-destructive imaging techniques for fruit damage detection: Image processing and analysis (2021, Trends in Food Science & Technology)
  • A review of environmental metabolism disrupting chemicals and effect biomarkers associating disease risks: Where exposomics meets metabolomics (2021, Environment International)
  • Fraud in Animal Origin Food Products: Advances in Emerging Spectroscopic Detection Methods over the Past Five Years (2020, Foods)

They frequently publish in journals including:

  • International Journal of Food Science & Technology
  • Food Analytical Methods
  • Foods
  • Molecules
  • Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy

Regular collaborators include James Chapman, Louwrens C. Hoffman, Yasmina Sultanbawa, Vi Khanh Truong, and M. Netzel, with whom they have co-authored numerous works.

Best Publications

  • A review of methods for the detection of pathogenic microorganisms

    P. Rajapaksha;A. Elbourne;S. Gangadoo;R. Brown

  • Prediction of phenolic compounds in red wine fermentations by visible and near infrared spectroscopy

    D Cozzolino;M.J Kwiatkowski;M Parker;W.U Cynkar

  • Identification of animal meat muscles by visible and near infrared reflectance spectroscopy

    D Cozzolino;I Murray

  • Biochar built soil carbon over a decade by stabilizing rhizodeposits

    Zhe Han Weng;Lukas Van Zwieten;Lukas Van Zwieten;Bhupinder Pal Singh;Ehsan Tavakkoli

  • FEASIBILITY STUDY ON THE USE OF VISIBLE AND NEAR INFRARED SPECTROSCOPY TOGETHER WITH CHEMOMETRICS TO DISCRIMINATE BETWEEN COMMERCIAL WHITE WINES OF DIFFERENT VARIETAL ORIGINS

    Daniel Cozzolino;Heather Eunice Smyth;Mark Gishen

  • Antimicrobial Metal Nanomaterials: From Passive to Stimuli-Activated Applications.

    Samuel Cheeseman;Andrew J. Christofferson;Rashad Kariuki;Daniel Cozzolino

  • The potential of near-infrared reflectance spectroscopy to analyse soil chemical and physical characteristics

    D. Cozzolino;A. Morón

  • Contributions of Fourier-transform mid infrared (FT-MIR) spectroscopy to the study of fruit and vegetables: A review

    Sylvie Bureau;Daniel Cozzolino;Christopher J. Clark

  • Antibacterial Liquid Metals: Biofilm Treatment via Magnetic Activation

    Aaron Elbourne;Samuel Cheeseman;Paul Atkin;Paul Atkin;Nghia P. Truong

  • The effect of increased yeast alcohol acetyltransferase and esterase activity on the flavour profiles of wine and distillates

    Mariska Lilly;Florian F. Bauer;Marius G. Lambrechts;Jan H. Swiegers

  • Potential of near-infrared reflectance spectroscopy and chemometrics to predict soil organic carbon fractions

    D. Cozzolino;A. Morón

  • Multivariate data analysis applied to spectroscopy: Potential application to juice and fruit quality

    D. Cozzolino;W.U. Cynkar;N. Shah;P. Smith

  • Predicting intramuscular fat, moisture and Warner-Bratzler shear force in pork muscle using near infrared reflectance spectroscopy

    N. Barlocco;A. Vadell;F. Ballesteros;G. Galietta

  • Analysis of Grapes and Wine by near Infrared Spectroscopy

    D. Cozzolino;R.G. Dambergs;L. Janik;W.U. Cynkar

  • Multivariate determination of free fatty acids and moisture in fish oils by partial least-squares regression and near-infrared spectroscopy

    D. Cozzolino;I. Murray;A. Chree;J.R. Scaife

  • Instrumental Methods (Spectroscopy, Electronic Nose, and Tongue) As Tools To Predict Taste and Aroma in Beverages: Advantages and Limitations

    Heather Smyth;Daniel Cozzolino

  • Geographic classification of spanish and Australian tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis.

    L. Liu;D. Cozzolino;W.U. Cynkar;M. Gishen

  • Bacterial-nanostructure interactions: The role of cell elasticity and adhesion forces.

    Aaron Elbourne;James Chapman;Amy Gelmi;Daniel Cozzolino

  • Near infrared spectroscopy in natural products analysis.

    Daniel Cozzolino

  • A review of environmental metabolism disrupting chemicals and effect biomarkers associating disease risks: Where exposomics meets metabolomics.

    Jiachen Sun;Runcheng Fang;Hua Wang;De-Xiang Xu

  • Classification of Tempranillo wines according to geographic origin: Combination of mass spectrometry based electronic nose and chemometrics

    Wies Cynkar;Robert Dambergs;Paul Smith;Daniel Cozzolino

  • Effect of sample presentation and animal muscle species on the analysis of meat by near infrared reflectance spectroscopy

    D. Cozzolino;I. Murray

Frequent Co-Authors

Paul A. Smith
Paul A. Smith Australian Wine Research Institute
Markus Herderich
Markus Herderich Australian Wine Research Institute
Russell J. Crawford
Russell J. Crawford RMIT University
Stephen D. Tyerman
Stephen D. Tyerman University of Adelaide
Da Chen
Da Chen Jinan University
Peter B. Høj
Peter B. Høj University of Adelaide
Christopher McConville
Christopher McConville Deakin University
Michael Rychlik
Michael Rychlik Technical University of Munich
Isak S. Pretorius
Isak S. Pretorius Macquarie University

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