Fabio Pietrucci

6.1k total citations · 1 hit paper
93 papers, 4.7k citations indexed

About

Fabio Pietrucci is a scholar working on Materials Chemistry, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Fabio Pietrucci has authored 93 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Materials Chemistry, 37 papers in Molecular Biology and 30 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Fabio Pietrucci's work include Protein Structure and Dynamics (33 papers), Spectroscopy and Quantum Chemical Studies (17 papers) and Advanced Chemical Physics Studies (13 papers). Fabio Pietrucci is often cited by papers focused on Protein Structure and Dynamics (33 papers), Spectroscopy and Quantum Chemical Studies (17 papers) and Advanced Chemical Physics Studies (13 papers). Fabio Pietrucci collaborates with scholars based in France, Italy and Switzerland. Fabio Pietrucci's co-authors include Alessandro Laio, Fabrizio Marinelli, Wanda Andreoni, A. Marco Saitta, Michele Parrinello, Carlo Camilloni, Giovanni Bussi, Davide Branduardi, Ricardo A. Broglia and Paolo Raiteri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Fabio Pietrucci

91 papers receiving 4.7k citations

Hit Papers

PLUMED: A portable plugin for free-energy calculations wi... 2009 2026 2014 2020 2009 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. PLUMED: A portable plugin for free-energy calculations with molecular dynamics
    2009 1.4k citations Fabrizio Marinelli, Fabio Pietrucci et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fabio Pietrucci France 35 2.2k 1.5k 949 469 399 93 4.7k
Yi Qin Gao China 42 2.9k 1.3× 1.4k 0.9× 1.6k 1.7× 880 1.9× 640 1.6× 292 6.7k
Gareth A. Tribello United Kingdom 28 2.1k 0.9× 1.6k 1.0× 950 1.0× 453 1.0× 370 0.9× 46 4.6k
Davide Branduardi Italy 20 3.4k 1.5× 1.4k 0.9× 1.0k 1.1× 580 1.2× 434 1.1× 29 5.5k
Baron Peters United States 42 1.1k 0.5× 2.4k 1.6× 1.2k 1.3× 318 0.7× 677 1.7× 148 6.4k
Klaus R. Liedl Austria 51 4.1k 1.9× 1.1k 0.7× 2.0k 2.1× 1.3k 2.8× 435 1.1× 361 9.5k
Kenji Yasuoka Japan 44 806 0.4× 1.4k 0.9× 1.3k 1.4× 165 0.4× 1.1k 2.7× 244 5.9k
Mikaël Lindgren Sweden 38 1.2k 0.5× 1.9k 1.2× 649 0.7× 519 1.1× 944 2.4× 229 5.2k
Francesc Sagués Spain 39 1.0k 0.5× 1.4k 0.9× 956 1.0× 267 0.6× 1.4k 3.6× 244 6.7k
Stephen T. Hyde Australia 44 1000 0.5× 3.2k 2.0× 854 0.9× 364 0.8× 925 2.3× 152 7.8k
Andrew C. Simmonett United States 26 1.7k 0.7× 1.0k 0.7× 1.9k 2.0× 793 1.7× 260 0.7× 64 4.6k

Countries citing papers authored by Fabio Pietrucci

Since Specialization
Citations

This map shows the geographic impact of Fabio Pietrucci's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fabio Pietrucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Pietrucci more than expected).

Fields of papers citing papers by Fabio Pietrucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio Pietrucci. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fabio Pietrucci. The network helps show where Fabio Pietrucci may publish in the future.

Co-authorship network of co-authors of Fabio Pietrucci

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Pietrucci. A scholar is included among the top collaborators of Fabio Pietrucci based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fabio Pietrucci. Fabio Pietrucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Murail, Samuel, et al.. (2025). Robust Conformational Space Exploration of Cyclic Peptides by Combining Different MD Protocols and Force Fields. Journal of Chemical Theory and Computation. 21(19). 10018–10034.
2.
Markovits, Alexis, et al.. (2025). Structural transitions at the bilayer graphene–methanol interface from ab initio molecular dynamics. Physical Chemistry Chemical Physics. 27(19). 10153–10165.
3.
Brigiano, Flavio Siro, Catherine Journet, Fabio Pietrucci, et al.. (2025). Biaxial strain effect in the room temperature formation of 2D diamond from graphene stacks. Carbon. 239. 120267–120267. 1 indexed citations
4.
Pietrucci, Fabio, et al.. (2024). Efficient machine learning approach for accurate free-energy profiles and kinetic rates. Physical review. E. 110(3). L033301–L033301. 1 indexed citations
5.
France‐Lanord, Arthur, et al.. (2024). Data-Driven Path Collective Variables. Journal of Chemical Theory and Computation. 20(8). 3069–3084. 11 indexed citations
6.
Huppert, Simon, et al.. (2023). Environmental and Nuclear Quantum Effects on Double Proton Transfer in the Guanine–Cytosine Base Pair. The Journal of Physical Chemistry Letters. 14(22). 5102–5108. 13 indexed citations
7.
Pietrucci, Fabio, et al.. (2022). Combining Machine Learning Approaches and Accurate Ab Initio Enhanced Sampling Methods for Prebiotic Chemical Reactions in Solution. Journal of Chemical Theory and Computation. 18(9). 5410–5421. 23 indexed citations
8.
Stelzl, Lukas S., et al.. (2022). Transition Rates and Efficiency of Collective Variables from Time-Dependent Biased Simulations. The Journal of Physical Chemistry Letters. 13(32). 7490–7496. 18 indexed citations
9.
France‐Lanord, Arthur, Fabio Pietrucci, A. Marco Saitta, et al.. (2022). Chemical Decomposition of the TFSI Anion under Aqueous Basic Conditions. SHILAP Revista de lepidopterología. 1(1). 9 indexed citations
10.
Pietrucci, Fabio, et al.. (2022). Free Energy Landscapes, Diffusion Coefficients, and Kinetic Rates from Transition Paths. Journal of Chemical Theory and Computation. 18(8). 4639–4648. 8 indexed citations
11.
Pietrucci, Fabio, Mauro Boero, & Wanda Andreoni. (2021). How natural materials remove heavy metals from water: mechanistic insights from molecular dynamics simulations. Chemical Science. 12(8). 2979–2985. 15 indexed citations
12.
Gkeka, Paraskevi, Gabriel Stoltz, Amir Barati Farimani, et al.. (2020). Machine learning force fields and coarse-grained variables in molecular\n dynamics: application to materials and biological systems. arXiv (Cornell University). 138 indexed citations
13.
Amodeo, Jonathan, Fabio Pietrucci, & Julien Lam. (2020). Out-of-Equilibrium Polymorph Selection in Nanoparticle Freezing. The Journal of Physical Chemistry Letters. 11(19). 8060–8066. 10 indexed citations
14.
Malloci, Giuliano, et al.. (2019). Holo-like and Druggable Protein Conformations from Enhanced Sampling of Binding Pocket Volume and Shape. Journal of Chemical Information and Modeling. 59(4). 1515–1528. 33 indexed citations
15.
Pipolo, Silvio, Mathieu Salanne, G. Ferlat, et al.. (2017). Navigating at Will on the Water Phase Diagram. Physical Review Letters. 119(24). 245701–245701. 43 indexed citations
16.
Bernetti, Mattia, Matteo Masetti, Fabio Pietrucci, et al.. (2017). Structural and Kinetic Characterization of the Intrinsically Disordered Protein SeV NTAIL through Enhanced Sampling Simulations. The Journal of Physical Chemistry B. 121(41). 9572–9582. 23 indexed citations
17.
Liu, C., Craig Wilson, Gabriel Marchand, et al.. (2017). Topologically frustrated ionisation in a water-ammonia ice mixture. Nature Communications. 8(1). 1065–1065. 27 indexed citations
18.
Šponer, Judit E., Rafał Szabla, Robert W. Góra, et al.. (2016). Prebiotic synthesis of nucleic acids and their building blocks at the atomic level – merging models and mechanisms from advanced computations and experiments. Physical Chemistry Chemical Physics. 18(30). 20047–20066. 40 indexed citations
19.
Cossio, Pilar, Fabrizio Marinelli, Alessandro Laio, & Fabio Pietrucci. (2010). Optimizing the Performance of Bias-Exchange Metadynamics: Folding a 48-Residue LysM Domain Using a Coarse-Grained Model. The Journal of Physical Chemistry B. 114(9). 3259–3265. 36 indexed citations
20.
Marinelli, Fabrizio, Fabio Pietrucci, Alessandro Laio, & Stefano Piana. (2009). A Kinetic Model of Trp-Cage Folding from Multiple Biased Molecular Dynamics Simulations. PLoS Computational Biology. 5(8). e1000452–e1000452. 234 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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