World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
58
Citations
24464
World Ranking
10433
National Ranking
317

Alessandro Laio 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 Alessandro Laio 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: 150 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Alessandro Laio 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 Alessandro Laio 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: 58 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Overview

Alessandro Laio is affiliated with the International School for Advanced Studies in Italy. Their research spans multiple fields with a primary focus on biochemistry, genetics, and molecular biology, along with significant work in computer science.

They have contributed extensively to subfields including molecular biology, artificial intelligence, materials chemistry, statistical and nonlinear physics, and atomic and molecular physics and optics.

The main topics covered in their research include:

  • Protein Structure and Dynamics
  • Machine Learning in Materials Science
  • Theoretical and Computational Physics
  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • Spectroscopy and Quantum Chemical Studies
  • Computational Drug Discovery Methods

Notable recent publications by Alessandro Laio consist of the following works:

  • Using metadynamics to explore complex free-energy landscapes, 2020, Nature Reviews Physics
  • Unsupervised Learning Methods for Molecular Simulation Data, 2021, Chemical Reviews
  • Automatic topography of high-dimensional data sets by non-parametric density peak clustering, 2021, Information Sciences
  • Ranking the information content of distance measures, 2022, PNAS Nexus
  • Data segmentation based on the local intrinsic dimension, 2020, BOA (University of Milano-Bicocca)

Frequently collaborating with other researchers, Alessandro Laio has coauthored publications most often with:

  • Aldo Glielmo
  • Álex Rodríguez
  • Diego Doimo
  • Romina Wild
  • Vittorio Del Tatto

Their works have appeared predominantly in these publication venues:

  • arXiv (Cornell University)
  • Scientific Reports
  • Proceedings of the National Academy of Sciences
  • Physical Review Letters
  • PNAS Nexus

Best Publications

  • Escaping free-energy minima

    Alessandro Laio;Michele Parrinello

  • Metadynamics: a method to simulate rare events and reconstruct the free energy in biophysics, chemistry and material science

    Alessandro Laio;Francesco L Gervasio

  • Promoting transparency and reproducibility in enhanced molecular simulations

    M. Bonomi;M. Bonomi;B. Giovanni;C. Camilloni;G.A. Tribello

  • Predicting crystal structures: the Parrinello-Rahman method revisited.

    R. Martoňák;A. Laio;Michele Parrinello

  • Efficient exploration of reactive potential energy surfaces using Car-Parrinello molecular dynamics.

    Marcella Iannuzzi;Alessandro Laio;Michele Parrinello

  • A Hamiltonian electrostatic coupling scheme for hybrid Car-Parrinello molecular dynamics simulations

    Alessandro Laio;Joost VandeVondele;Ursula Rothlisberger

  • Efficient reconstruction of complex free energy landscapes by multiple walkers metadynamics.

    Paolo Raiteri;Alessandro Laio;Francesco Luigi Gervasio;Cristian Micheletti

  • A bias-exchange approach to protein folding

    Stefano Piana;Alessandro Laio

  • Amyloid β Protein and Alzheimer’s Disease: When Computer Simulations Complement Experimental Studies

    Jessica Nasica-Labouze;Phuong H. Nguyen;Fabio Sterpone;Olivia Berthoumieu

  • Assessing the accuracy of metadynamics.

    Alessandro Laio;Antonio Rodriguez-Fortea;Francesco Luigi Gervasio;Matteo Ceccarelli

  • Free-Energy Landscape for β Hairpin Folding from Combined Parallel Tempering and Metadynamics

    Giovanni Bussi;Francesco Luigi Gervasio;and Alessandro Laio;Michele Parrinello

  • Physics of iron at Earth's core conditions

    A. Laio;S. Bernard;G. L. Chiarotti;S. Scandolo;S. Scandolo

  • Unsupervised Learning Methods for Molecular Simulation Data.

    Aldo Glielmo;Brooke E. Husic;Alex Rodriguez;Cecilia Clementi

  • Flexible Docking in Solution Using Metadynamics

    Francesco Luigi Gervasio;and Alessandro Laio;Michele Parrinello

  • A Kinetic Model of Trp-Cage Folding from Multiple Biased Molecular Dynamics Simulations

    Fabrizio Marinelli;Fabrizio Marinelli;Fabio Pietrucci;Alessandro Laio;Stefano Piana

  • A recipe for the computation of the free energy barrier and the lowest free energy path of concerted reactions.

    Bernd Ensing;Alessandro Laio;Michele Parrinello;Michael L Klein

  • An Efficient Real Space Multigrid QM/MM Electrostatic Coupling.

    Teodoro Laino;Fawzi Mohamed;and Alessandro Laio;Michele Parrinello

  • Anisotropy of Earth's D'' layer and stacking faults in the MgSiO3 post-perovskite phase.

    Artem R. Oganov;Roman Martonak;Alessandro Laio;Paolo Raiteri

  • The conformational free energy landscape of beta-D-glucopyranose. Implications for substrate preactivation in beta-glucoside hydrolases.

    Xevi Biarnés;Albert Ardèvol;Antoni Planas;Carme Rovira

  • D-RESP: Dynamically Generated Electrostatic Potential Derived Charges from Quantum Mechanics/Molecular Mechanics Simulations

    Alessandro Laio;Joost VandeVondele;Ursula Rothlisberger

Frequent Co-Authors

Erio Tosatti
Erio Tosatti International School for Advanced Studies
Vincent Torre
Vincent Torre International School for Advanced Studies
Ursula Rothlisberger
Ursula Rothlisberger École Polytechnique Fédérale de Lausanne
Paolo Raiteri
Paolo Raiteri Curtin University
Francesco Luigi Gervasio
Francesco Luigi Gervasio University College London
Paolo Carloni
Paolo Carloni Forschungszentrum Jülich
Marcella Iannuzzi
Marcella Iannuzzi University of Zurich
Marco Bernasconi
Marco Bernasconi University of Milano-Bicocca

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