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Alexandre Varnek

Alexandre Varnek

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Chemistry 50 14230 12811 590 533 302 13342

Alexandre Varnek publications per year

The chart shows the history of publications by Alexandre Varnek between 1981 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Alexandre Varnek published across 45 years, from 1981 to 2025, averaging 8.8 papers a year. Output peaked at 55 publications in 2021. 35 of the 396 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1981 to 2025. Vertical axis: number of publications, 0 to 55. Peak 55 publications in 2021. 1981: 1 publication 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 1 publication 1989: 1 publication 1990: 1 publication 1991: 2 publications 1992: 2 publications 1993: 1 publication 1994: 0 publications 1995: 1 publication 1996: 2 publications 1997: 2 publications 1998: 3 publications 1999: 3 publications 2000: 5 publications 2001: 1 publication 2002: 5 publications 2003: 0 publications 2004: 6 publications 2005: 3 publications 2006: 3 publications 2007: 5 publications 2008: 9 publications 2009: 3 publications 2010: 5 publications 2011: 8 publications 2012: 13 publications 2013: 20 publications 2014: 13 publications 2015: 13 publications 2016: 19 publications 2017: 39 publications 2018: 10 publications 2019: 35 publications 2020: 37 publications 2021: 55 publications 2022: 16 publications 2023: 18 publications 2024: 19 publications 2025: 16 publications
1981 2025

396 publications in total across all disciplines

View publications per year as a table
Alexandre Varnek: publications per year, 1981 to 2025
Year Publications
1981 1
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 1
1989 1
1990 1
1991 2
1992 2
1993 1
1994 0
1995 1
1996 2
1997 2
1998 3
1999 3
2000 5
2001 1
2002 5
2003 0
2004 6
2005 3
2006 3
2007 5
2008 9
2009 3
2010 5
2011 8
2012 13
2013 20
2014 13
2015 13
2016 19
2017 39
2018 10
2019 35
2020 37
2021 55
2022 16
2023 18
2024 19
2025 16
Total 396
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Alexandre Varnek 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 Alexandre Varnek sits on this spectrum.

No. of scientists
250 500 750 1,000 1,250
Bar chart with 63 bars. Horizontal axis: publications, 61–80 to 1,295+. Vertical axis: number of scientists, 0 to 1,350. Most scientists, 1,350, have 161–180 publications. The last bar groups every scientist with 1,295 publications or more. The highlighted bar, 301–320 publications, is where this scientist sits. 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
61–80 publications 1,295+

This scientist: 302 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Chemistry scientists by publication count, Research.com 2026 ranking edition. Based on 17,934 ranked scientists.
Publications Scientists This scientist
61–80 66
81–100 302
101–120 623
121–140 918
141–160 1,218
161–180 1,350
181–200 1,344
201–220 1,281
221–240 1,216
241–260 1,100
261–280 979
281–300 939
301–320 764 302
321–340 643
341–360 628
361–380 522
381–400 459
401–420 397
421–440 327
441–460 270
461–480 265
481–500 252
501–520 201
521–540 185
541–560 148
561–580 148
581–600 132
601–620 114
621–640 104
641–660 91
661–680 92
681–700 73
701–720 57
721–740 54
741–760 67
761–780 45
781–800 46
801–820 39
821–840 32
841–860 36
861–880 29
881–900 26
901–920 24
921–940 14
941–960 23
961–980 28
981–1,000 15
1,001–1,020 29
1,021–1,040 12
1,041–1,060 19
1,061–1,080 12
1,081–1,100 6
1,101–1,120 8
1,121–1,140 12
1,141–1,160 5
1,161–1,180 6
1,181–1,200 14
1,201–1,220 7
1,221–1,240 2
1,241–1,260 6
1,261–1,280 4
1,281–1,294 6
1,295+ 100
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Alexandre Varnek 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 Alexandre Varnek sits on this spectrum.

No. of scientists
250 500 750 1,000
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 159+. Vertical axis: number of scientists, 0 to 1,051. Most scientists, 1,051, have 56–57 D-Index. The last bar groups every scientist with 159 D-Index or more. The highlighted bar, 50–51 D-Index, is where this scientist sits. 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
40–41 D-Index 159+

This scientist: 50 D-Index — 21st percentile

21% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Chemistry scientists by D-index, Research.com 2026 ranking edition. Based on 17,934 ranked scientists.
D-Index Scientists This scientist
40–41 289
42–43 612
44–45 808
46–47 776
48–49 835
50–51 861 50
52–53 872
54–55 933
56–57 1,051
58–59 930
60–61 882
62–63 834
64–65 731
66–67 775
68–69 683
70–71 646
72–73 561
74–75 501
76–77 437
78–79 388
80–81 354
82–83 292
84–85 275
86–87 254
88–89 235
90–91 185
92–93 192
94–95 155
96–97 163
98–99 125
100–101 105
102–103 105
104–105 112
106–107 88
108–109 68
110–111 69
112–113 65
114–115 79
116–117 61
118–119 44
120–121 37
122–123 40
124–125 33
126–127 26
128–129 34
130–131 35
132–133 25
134–135 27
136–137 17
138–139 16
140–141 20
142–143 20
144–145 15
146–147 9
148–149 9
150–151 16
152–153 11
154–155 9
156–157 3
158 3
159+ 98
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Overview

Alexandre Varnek is affiliated with the University of Strasbourg in France. Their research spans multiple areas within computational science and molecular biology, focusing extensively on computational drug discovery and machine learning applications in materials science.

Their work covers diverse topics including:

  • Computational Drug Discovery Methods
  • Machine Learning in Materials Science
  • Analytical Chemistry and Chromatography
  • Microbial Natural Products and Biosynthesis
  • Chemical Synthesis and Analysis
  • Metabolomics and Mass Spectrometry Studies
  • Protein Structure and Dynamics

In terms of disciplinary focus, Varnek's main fields of study are:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Their subfields of study illuminate specific scientific interests:

  • Computational Theory and Mathematics
  • Molecular Biology
  • Materials Chemistry
  • Spectroscopy
  • Biomedical Engineering

Frequent publication venues for Varnek include:

  • Molecular Informatics
  • Journal of Chemical Information and Modeling
  • Zenodo (CERN European Organization for Nuclear Research)
  • SAR and QSAR in Environmental Research
  • UNC Libraries

Recent papers authored or coauthored by Varnek are:

  • "QSAR without borders," 2020, Chemical Society Reviews
  • "Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR," 2023, Nature Reviews Drug Discovery
  • "A critical overview of computational approaches employed for COVID-19 drug discovery," 2021, Chemical Society Reviews
  • "CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity," 2020, Environmental Health Perspectives
  • "CATMoS: Collaborative Acute Toxicity Modeling Suite," 2021, Environmental Health Perspectives

Frequent collaborators in Varnek's publications are:

  • Gilles Marcou
  • Dragos Horvath
  • Timur Madzhidov
  • Igor I. Baskin
  • Alexander Tropsha

Varnek has contributed to book publications through the Institute of Biomedical Chemistry, Moscow, Russia eBooks, including:

  • "Abstracts of XXVII Symposium 'Bioinformatics and Computer-Aided Drug Discovery'," 2021
  • "PROCEEDINGS BOOK OF THE XXVIII SYMPOSIUM 'BIOINFORMATICS AND COMPUTER-AIDED DRUG DISCOVERY', MOSCOW, 2022"

Best Publications

  • QSAR Modeling: Where have you been? Where are you going to?

    Artem Cherkasov;Eugene N. Muratov;Eugene N. Muratov;Denis Fourches;Alexandre Varnek

  • QSAR without borders

    Eugene N. Muratov;Eugene N. Muratov;Jürgen Bajorath;Robert P. Sheridan;Igor V. Tetko

  • Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information

    Iurii Sushko;Sergii Novotarskyi;Robert Körner;Anil Kumar Pandey

  • Estimation of the size of drug-like chemical space based on GDB-17 data

    Pavel G. Polishchuk;Timur I. Madzhidov;Alexandre Varnek

  • Critical Assessment of QSAR Models of Environmental Toxicity against Tetrahymena pyriformis: Focusing on Applicability Domain and Overfitting by Variable Selection

    Igor V. Tetko;Iurii Sushko;Anil Kumar Pandey;Hao Zhu

  • CERAPP: Collaborative Estrogen Receptor Activity Prediction Project

    Kamel Mansouri;Ahmed Abdelaziz;Aleksandra Rybacka;Alessandra Roncaglioni

  • Combinatorial QSAR Modeling of Chemical Toxicants Tested against Tetrahymena pyriformis

    Hao Zhu;Alexander Tropsha;Denis Fourches;Alexandre Varnek

  • Applicability domains for classification problems: Benchmarking of distance to models for Ames mutagenicity set.

    Iurii Sushko;Sergii Novotarskyi;Robert Körner;Anil Kumar Pandey

  • Substructural fragments: an universal language to encode reactions, molecular and supramolecular structures

    Alexandre Varnek;Denis Fourches;Frank Hoonakker;Vitaly P. Solov'ev

  • Machine Learning Methods for Property Prediction in Chemoinformatics: Quo Vadis?

    Unknown

  • ISIDA - Platform for Virtual Screening Based on Fragment and Pharmacophoric Descriptors

    Alexandre Varnek;Denis Fourches;Dragos Horvath;Olga Klimchuk

  • CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity.

    Kamel Mansouri;Nicole Kleinstreuer;Ahmed M. Abdelaziz;Domenico Alberga

  • Chemoinformatics approaches to virtual screening

    Alexandre Varnek;Alex Tropsha

  • A critical overview of computational approaches employed for COVID-19 drug discovery.

    Eugene N Muratov;Rommie Amaro;Carolina H Andrade;Nathan Brown

  • Exhaustive QSPR studies of a large diverse set of ionic liquids: how accurately can we predict melting points?

    Alexandre Varnek;Natalia Kireeva;Igor V. Tetko;Igor I. Baskin

  • De Novo Molecular Design by Combining Deep Autoencoder Recurrent Neural Networks with Generative Topographic Mapping

    Boris Sattarov;Igor I. Baskin;Dragos Horvath;Gilles Marcou

  • ISIDA Property‐Labelled Fragment Descriptors

    Fiorella Ruggiu;Gilles Marcou;Alexandre Varnek;Dragos Horvath

  • Generative Topographic Mapping (GTM): Universal Tool for Data Visualization, Structure-Activity Modeling and Dataset Comparison.

    N. Kireeva;I. I. Baskin;I. I. Baskin;H. A. Gaspar;D. Horvath

  • Chemoinformatics as a Theoretical Chemistry Discipline

    Unknown

  • Correlation of blood–brain penetration using structural descriptors

    Alan R. Katritzky;Minati Kuanar;Svetoslav Slavov;Svetoslav Slavov;Dimitar A. Dobchev;Dimitar A. Dobchev

  • Chemical data visualization and analysis with incremental generative topographic mapping: big data challenge.

    Héléna A. Gaspar;Igor I. Baskin;Igor I. Baskin;Igor I. Baskin;Gilles Marcou;Dragos Horvath

  • Molecular dynamics study of p-tert-butylcalix[4]arenetetraamide and its complexes with neutral and cationic guests. Influence of solvation on structures and stabilities

    P. Guilbaud;A. Varnek;G. Wipff

  • Quantitative structure-property relationship modeling of beta-cyclodextrin complexation free energies.

    Alan R. Katritzky;Dan C. Fara;Hongfang Yang;Mati Karelson

  • A fast and Space‐efficient boundary element method for computing electrostatic and hydration effects in large molecules

    Randy J. Zauhar;Alexander Varnek

  • Modeling of ion complexation and extraction using substructural molecular fragments

    Vitaly P. Solov'ev;Alexandre Varnek;Georges Wipff

  • New organophosphorus calix[4]arene ionophores for trivalent lanthanide and actinide cations

    L Atamas;O Klimchuk;V Rudzevich;V Pirozhenko

  • Combinatorial QSAR Modeling of Chemical Toxicants Tested Against Tetrahymena pyriformis.

    Hao Zhu;Alexander Tropsha;Denis Fourches;Alexandre Varnek

Frequent Co-Authors

Dragos Horvath
Dragos Horvath University of Strasbourg
Georges Wipff
Georges Wipff Centre national de la recherche scientifique, CNRS
Denis Fourches
Denis Fourches North Carolina State University
Igor V. Tetko
Igor V. Tetko Helmholtz Zentrum München
Alexander Tropsha
Alexander Tropsha University of North Carolina at Chapel Hill
Eugene N. Muratov
Eugene N. Muratov University of North Carolina at Chapel Hill
Jürgen Bajorath
Jürgen Bajorath University of Bonn
Alan R. Katritzky
Alan R. Katritzky University of Florida
Roberto Todeschini
Roberto Todeschini University of Milano-Bicocca
David A. Winkler
David A. Winkler La Trobe University

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