World's Best Scientists 2026 revealed!
Irene Yarovsky

Irene Yarovsky

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Materials Science 51 10034 9691 297 295 181 7549
Chemistry 51 14149 12739 318 301 188 7651

Irene Yarovsky publications per year

The chart shows the history of publications by Irene Yarovsky between 1993 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Irene Yarovsky published across 34 years, from 1993 to 2026, averaging 6.3 papers a year. Output peaked at 16 publications in 2005. 6 of the 215 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1993 to 2026. Vertical axis: number of publications, 0 to 16. Peak 16 publications in 2005. 1993: 2 publications 1994: 1 publication 1995: 0 publications 1996: 1 publication 1997: 2 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 12 publications 2003: 8 publications 2004: 7 publications 2005: 16 publications 2006: 8 publications 2007: 12 publications 2008: 8 publications 2009: 14 publications 2010: 10 publications 2011: 13 publications 2012: 5 publications 2013: 6 publications 2014: 11 publications 2015: 6 publications 2016: 10 publications 2017: 8 publications 2018: 8 publications 2019: 6 publications 2020: 5 publications 2021: 8 publications 2022: 6 publications 2023: 4 publications 2024: 12 publications 2025: 4 publications 2026: 2 publications
1993 2026

215 publications in total across all disciplines

View publications per year as a table
Irene Yarovsky: publications per year, 1993 to 2026
Year Publications
1993 2
1994 1
1995 0
1996 1
1997 2
1998 0
1999 0
2000 0
2001 0
2002 12
2003 8
2004 7
2005 16
2006 8
2007 12
2008 8
2009 14
2010 10
2011 13
2012 5
2013 6
2014 11
2015 6
2016 10
2017 8
2018 8
2019 6
2020 5
2021 8
2022 6
2023 4
2024 12
2025 4
2026 2
Total 215
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Irene Yarovsky publication distribution in Materials Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Materials Science in 2026. The highlighted bar marks where Irene Yarovsky sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 57 bars. Horizontal axis: publications, 50–69 to 1,163+. Vertical axis: number of scientists, 0 to 891. Most scientists, 891, have 190–209 publications. The last bar groups every scientist with 1,163 publications or more. The highlighted bar, 170–189 publications, is where this scientist sits. 50–69 publications: 28 scientists 70–89 publications: 152 scientists 90–109 publications: 356 scientists 110–129 publications: 487 scientists 130–149 publications: 723 scientists 150–169 publications: 835 scientists 170–189 publications: 850 scientists 190–209 publications: 891 scientists 210–229 publications: 862 scientists 230–249 publications: 766 scientists 250–269 publications: 726 scientists 270–289 publications: 665 scientists 290–309 publications: 593 scientists 310–329 publications: 537 scientists 330–349 publications: 477 scientists 350–369 publications: 440 scientists 370–389 publications: 356 scientists 390–409 publications: 321 scientists 410–429 publications: 256 scientists 430–449 publications: 246 scientists 450–469 publications: 216 scientists 470–489 publications: 212 scientists 490–509 publications: 174 scientists 510–529 publications: 194 scientists 530–549 publications: 162 scientists 550–569 publications: 131 scientists 570–589 publications: 111 scientists 590–609 publications: 103 scientists 610–629 publications: 99 scientists 630–649 publications: 77 scientists 650–669 publications: 92 scientists 670–689 publications: 56 scientists 690–709 publications: 53 scientists 710–729 publications: 53 scientists 730–749 publications: 38 scientists 750–769 publications: 52 scientists 770–789 publications: 43 scientists 790–809 publications: 38 scientists 810–829 publications: 34 scientists 830–849 publications: 25 scientists 850–869 publications: 18 scientists 870–889 publications: 20 scientists 890–909 publications: 24 scientists 910–929 publications: 27 scientists 930–949 publications: 20 scientists 950–969 publications: 17 scientists 970–989 publications: 10 scientists 990–1,009 publications: 16 scientists 1,010–1,029 publications: 13 scientists 1,030–1,049 publications: 12 scientists 1,050–1,069 publications: 9 scientists 1,070–1,089 publications: 8 scientists 1,090–1,109 publications: 7 scientists 1,110–1,129 publications: 9 scientists 1,130–1,149 publications: 2 scientists 1,150–1,162 publications: 5 scientists 1,163+ publications: 100 scientists
50–69 publications 1,163+

This scientist: 181 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,163 publications or more.

View publications distribution as a table
Number of Materials Science scientists by publication count, Research.com 2026 ranking edition. Based on 12,847 ranked scientists.
Publications Scientists This scientist
50–69 28
70–89 152
90–109 356
110–129 487
130–149 723
150–169 835
170–189 850 181
190–209 891
210–229 862
230–249 766
250–269 726
270–289 665
290–309 593
310–329 537
330–349 477
350–369 440
370–389 356
390–409 321
410–429 256
430–449 246
450–469 216
470–489 212
490–509 174
510–529 194
530–549 162
550–569 131
570–589 111
590–609 103
610–629 99
630–649 77
650–669 92
670–689 56
690–709 53
710–729 53
730–749 38
750–769 52
770–789 43
790–809 38
810–829 34
830–849 25
850–869 18
870–889 20
890–909 24
910–929 27
930–949 20
950–969 17
970–989 10
990–1,009 16
1,010–1,029 13
1,030–1,049 12
1,050–1,069 9
1,070–1,089 8
1,090–1,109 7
1,110–1,129 9
1,130–1,149 2
1,150–1,162 5
1,163+ 100
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Irene Yarovsky D-index placement in Materials Science in 2026

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

No. of scientists
200 400 600
Bar chart with 64 bars. Horizontal axis: D-Index, 40–41 to 165+. Vertical axis: number of scientists, 0 to 667. Most scientists, 667, have 52–53 D-Index. The last bar groups every scientist with 165 D-Index or more. The highlighted bar, 50–51 D-Index, is where this scientist sits. 40–41 D-Index: 211 scientists 42–43 D-Index: 450 scientists 44–45 D-Index: 612 scientists 46–47 D-Index: 612 scientists 48–49 D-Index: 598 scientists 50–51 D-Index: 657 scientists 52–53 D-Index: 667 scientists 54–55 D-Index: 621 scientists 56–57 D-Index: 597 scientists 58–59 D-Index: 610 scientists 60–61 D-Index: 587 scientists 62–63 D-Index: 606 scientists 64–65 D-Index: 533 scientists 66–67 D-Index: 490 scientists 68–69 D-Index: 469 scientists 70–71 D-Index: 378 scientists 72–73 D-Index: 421 scientists 74–75 D-Index: 359 scientists 76–77 D-Index: 323 scientists 78–79 D-Index: 299 scientists 80–81 D-Index: 230 scientists 82–83 D-Index: 210 scientists 84–85 D-Index: 195 scientists 86–87 D-Index: 203 scientists 88–89 D-Index: 175 scientists 90–91 D-Index: 175 scientists 92–93 D-Index: 142 scientists 94–95 D-Index: 121 scientists 96–97 D-Index: 117 scientists 98–99 D-Index: 107 scientists 100–101 D-Index: 88 scientists 102–103 D-Index: 85 scientists 104–105 D-Index: 68 scientists 106–107 D-Index: 62 scientists 108–109 D-Index: 57 scientists 110–111 D-Index: 45 scientists 112–113 D-Index: 49 scientists 114–115 D-Index: 50 scientists 116–117 D-Index: 34 scientists 118–119 D-Index: 38 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 28 scientists 126–127 D-Index: 24 scientists 128–129 D-Index: 33 scientists 130–131 D-Index: 28 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 20 scientists 136–137 D-Index: 23 scientists 138–139 D-Index: 17 scientists 140–141 D-Index: 12 scientists 142–143 D-Index: 17 scientists 144–145 D-Index: 21 scientists 146–147 D-Index: 13 scientists 148–149 D-Index: 11 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 13 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 4 scientists 162–163 D-Index: 4 scientists 164 D-Index: 3 scientists 165+ D-Index: 98 scientists
40–41 D-Index 165+

This scientist: 51 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 165 D-Index or more.

View D-Index distribution as a table
Number of Materials Science scientists by D-index, Research.com 2026 ranking edition. Based on 12,847 ranked scientists.
D-Index Scientists This scientist
40–41 211
42–43 450
44–45 612
46–47 612
48–49 598
50–51 657 51
52–53 667
54–55 621
56–57 597
58–59 610
60–61 587
62–63 606
64–65 533
66–67 490
68–69 469
70–71 378
72–73 421
74–75 359
76–77 323
78–79 299
80–81 230
82–83 210
84–85 195
86–87 203
88–89 175
90–91 175
92–93 142
94–95 121
96–97 117
98–99 107
100–101 88
102–103 85
104–105 68
106–107 62
108–109 57
110–111 45
112–113 49
114–115 50
116–117 34
118–119 38
120–121 37
122–123 29
124–125 28
126–127 24
128–129 33
130–131 28
132–133 21
134–135 20
136–137 23
138–139 17
140–141 12
142–143 17
144–145 21
146–147 13
148–149 11
150–151 14
152–153 13
154–155 9
156–157 10
158–159 7
160–161 4
162–163 4
164 3
165+ 98
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Overview

Irene Yarovsky is affiliated with RMIT University in Australia and has an extensive research portfolio primarily situated within the domains of Materials Science and Biochemistry, Genetics and Molecular Biology. Their work spans several interconnected areas including Molecular Biology, Organic Chemistry, Materials Chemistry, Biomedical Engineering, and Biomaterials.

The scientist's research focuses on topics such as Supramolecular Self-Assembly in Materials, Polymer Surface Interaction Studies, Advanced Biosensing and Bioanalysis Techniques, Lipid Membrane Structure and Behavior, Monoclonal and Polyclonal Antibodies Research, Advanced Polymer Synthesis and Characterization, and Graphene and Nanomaterials Applications.

Frequent co-authors in Yarovsky's publications include Patrick Charchar, Nevena Todorova, Frank Caruso, Molly M. Stevens, and Zhixing Lin.

Yarovsky has published in several notable scientific journals, with multiple articles appearing in these venues:

  • Angewandte Chemie International Edition
  • Angewandte Chemie
  • Nature Communications
  • Small
  • ACS Nano

Selected recent publications illustrate the range of topics addressed:

  • "Surface enhanced Raman scattering artificial nose for high dimensionality fingerprinting," 2020, Nature Communications
  • "Particle engineering enabled by polyphenol-mediated supramolecular networks," 2020, Nature Communications
  • "The intricate link between membrane lipid structure and composition and membrane structural properties in bacterial membranes," 2024, Chemical Science
  • "Cobalt-Directed Assembly of Antibodies onto Metal-Phenolic Networks for Enhanced Particle Targeting," 2020, Nano Letters
  • "Site-Selective Coordination Assembly of Dynamic Metal-Phenolic Networks," 2022, Angewandte Chemie International Edition

Best Publications

  • Modular assembly of superstructures from polyphenol-functionalized building blocks

    Junling Guo;Blaise L. Tardy;Andrew J. Christofferson;Yunlu Dai

  • Computer simulation of structure and properties of crosslinked polymers: application to epoxy resins

    Irene Yarovsky;Evan Evans

  • Density functional theory study of the relaxation and energy of iron surfaces

    Michelle J.S Spencer;Andrew Hung;Ian K Snook;Irene Yarovsky

  • Density-functional theory studies of pyrite FeS2(100) and (110) surfaces

    Andrew Hung;Joseph Muscat;Irene Yarovsky;Salvy P Russo

  • Hybrid approach for generating realistic amorphous carbon structure using metropolis and reverse Monte Carlo

    George Opletal;Tim Petersen;Brendan O'Malley;Ian Snook

  • Ordering Surfaces on the Nanoscale: Implications for Protein Adsorption

    Andrew Hung;Steve Mwenifumbo;Morgan Mager;Jeffrey J. Kuna

  • Application of numerical basis sets to hydrogen bonded systems: a density functional theory study.

    Nicole Benedek;I. K. Snook;K. Latham;I. Yarovsky

  • Surface enhanced Raman scattering artificial nose for high dimensionality fingerprinting

    Nayoung Kim;Michael R. Thomas;Mads S. Bergholt;Isaac J. Pence

  • Nanomaterials in biological environment: a review of computer modelling studies

    A. J. Makarucha;N. Todorova;I. Yarovsky

  • ZnO Nanostructures for Gas Sensing: Interaction of NO2, NO, O, and N with the ZnO(101̅0) Surface

    Michelle J. S. Spencer;Irene Yarovsky

  • Electric field effects on insulin chain-B conformation.

    Akin Budi;F Sue Legge;Herbert Treutlein;Irene Yarovsky

  • Direct dry transfer of chemical vapor deposition graphene to polymeric substrates

    Guilhermino J.M. Fechine;Iñigo Martin-Fernandez;George Yiapanis;Ricardo Bentini

  • Influence of the Chain Length and Surface Density on the Conformation and Mobility of n-Alkyl Ligands Chemically Immobilized onto a Silica Surface

    Irene. Yarovsky;Marie-Isabel. Aguilar;Milton T. W. Hearn

  • Hydration Layer Structure of Biofouling-Resistant Nanoparticles.

    Paul J. Molino;Dan Yang;Matthew Penna;Matthew Penna;Keisuke Miyazawa

  • Particle engineering enabled by polyphenol-mediated supramolecular networks.

    Jiajing Zhou;Zhixing Lin;Matthew Penna;Shuaijun Pan

  • Adsorption of NO2 on Oxygen Deficient ZnO(21̅1̅0) for Gas Sensing Applications: A DFT Study

    M. Breedon;M. J. S. Spencer;I. Yarovsky

  • Surface Dynamics and Ligand–Core Interactions of Quantum Sized Photoluminescent Gold Nanoclusters

    Yiyang Lin;Patrick Charchar;Andrew J. Christofferson;Michael R. Thomas

  • Effect of frequency on insulin response to electric field stress.

    Budi A;Legge Fs;Treutlein H;Yarovsky I

  • First-principles studies of the structural and electronic properties of pyrite FeS 2

    Joseph Muscat;Andrew Hung;Salvy Russo;Irene Yarovsky

  • Systematic comparison of empirical forcefields for molecular dynamic simulation of insulin.

    Nevena Todorova;F. Sue Legge;Herbert Treutlein;Irene Yarovsky

  • Microstructure of an industrial char by diffraction techniques and Reverse Monte Carlo modelling

    Tim Petersen;Irene Yarovsky;Ian Snook;Dougal Gordon McCulloch

Frequent Co-Authors

Ian K. Snook
Ian K. Snook RMIT University
Molly M. Stevens
Molly M. Stevens University of Oxford
Greg G. Qiao
Greg G. Qiao University of Melbourne
Geoffrey J. Howlett
Geoffrey J. Howlett University of Melbourne
Frank Caruso
Frank Caruso University of Melbourne
David H. Solomon
David H. Solomon University of Melbourne
Dougal G. McCulloch
Dougal G. McCulloch RMIT University
Paul R. Gooley
Paul R. Gooley University of Melbourne
Joseph J. Richardson
Joseph J. Richardson RMIT University
David A. Winkler
David A. Winkler La Trobe University

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