Andrea Rizzi

2.4k total citations
46 papers, 1.2k citations indexed

About

Andrea Rizzi is a scholar working on Molecular Biology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Andrea Rizzi has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Physiology and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Andrea Rizzi's work include Protein Structure and Dynamics (13 papers), Asthma and respiratory diseases (13 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers). Andrea Rizzi is often cited by papers focused on Protein Structure and Dynamics (13 papers), Asthma and respiratory diseases (13 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers). Andrea Rizzi collaborates with scholars based in Italy, United States and Germany. Andrea Rizzi's co-authors include David L. Mobley, John D. Chodera, Michael K. Gilson, Michael R. Shirts, Christopher I. Bayly, Victoria T. Lim, Paolo Carloni, Caitlin C. Bannan, Michele Parrinello and Mehtap Işık and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and European Respiratory Journal.

In The Last Decade

Andrea Rizzi

44 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Rizzi Italy 17 589 351 259 186 158 46 1.2k
Gregory A. Ross United States 17 1.2k 2.0× 507 1.4× 294 1.1× 135 0.7× 118 0.7× 26 2.0k
Juyong Lee South Korea 26 872 1.5× 386 1.1× 378 1.5× 135 0.7× 44 0.3× 100 1.7k
Gus R. Rosania United States 22 784 1.3× 131 0.4× 208 0.8× 129 0.7× 184 1.2× 68 1.9k
Ying Gao China 21 861 1.5× 409 1.2× 309 1.2× 49 0.3× 92 0.6× 59 1.5k
Linda Y. Zhang United States 8 821 1.4× 264 0.8× 196 0.8× 83 0.4× 25 0.2× 26 1.6k
Axel Meißner Germany 28 1.1k 1.9× 57 0.2× 205 0.8× 128 0.7× 62 0.4× 114 2.3k
Sergio Wong United States 20 889 1.5× 335 1.0× 187 0.7× 39 0.2× 24 0.2× 33 1.3k
Dennis Thomas United States 23 531 0.9× 131 0.4× 466 1.8× 42 0.2× 19 0.1× 59 1.7k
David B. Turner United States 26 404 0.7× 388 1.1× 527 2.0× 57 0.3× 41 0.3× 77 2.2k

Countries citing papers authored by Andrea Rizzi

Since Specialization
Citations

This map shows the geographic impact of Andrea Rizzi'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 Andrea Rizzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Rizzi more than expected).

Fields of papers citing papers by Andrea Rizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrea Rizzi. 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 Andrea Rizzi. The network helps show where Andrea Rizzi may publish in the future.

Co-authorship network of co-authors of Andrea Rizzi

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Rizzi. A scholar is included among the top collaborators of Andrea Rizzi 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 Andrea Rizzi. Andrea Rizzi 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.
Rizzi, Andrea & Davide Mandelli. (2025). High performance-oriented computer aided drug design approaches in the exascale era. Expert Opinion on Drug Discovery. 20(3). 391–400. 1 indexed citations
2.
Rizzi, Andrea, et al.. (2024). Effective data-driven collective variables for free energy calculations from metadynamics of paths. PNAS Nexus. 3(4). pgae159–pgae159. 6 indexed citations
3.
Pala, Daniele, Alberto Cuzzolin, Laura Scalvini, et al.. (2023). Unbinding Kinetics of Muscarinic M3 Receptor Antagonists Explained by Metadynamics Simulations. Journal of Chemical Information and Modeling. 63(9). 2842–2856. 9 indexed citations
4.
Bonati, Luigi, et al.. (2023). A unified framework for machine learning collective variables for enhanced sampling simulations: mlcolvar. The Journal of Chemical Physics. 159(1). 41 indexed citations
5.
Rizzi, Andrea, et al.. (2022). Enhanced-Sampling Simulations for the Estimation of Ligand Binding Kinetics: Current Status and Perspective. Frontiers in Molecular Biosciences. 9. 899805–899805. 42 indexed citations
6.
Işık, Mehtap, Ariën S. Rustenburg, Andrea Rizzi, et al.. (2021). Overview of the SAMPL6 pKa challenge: evaluating small molecule microscopic and macroscopic pKa predictions. Journal of Computer-Aided Molecular Design. 35(2). 131–166. 40 indexed citations
7.
Smith, Daniel G. A., Simon Boothroyd, Hyesu Jang, et al.. (2021). Development and Benchmarking of Open Force Field v1.0.0—the Parsley Small-Molecule Force Field. Journal of Chemical Theory and Computation. 17(10). 6262–6280. 113 indexed citations
8.
Pelaia, Corrado, Claudia Crimi, Nunzio Crimi, et al.. (2021). Indacaterol/glycopyrronium/mometasone fixed dose combination for uncontrolled asthma. Expert Review of Respiratory Medicine. 16(2). 183–195. 6 indexed citations
9.
Linney, Ian D., Andrea Rizzi, Maurizio Delcanale, et al.. (2021). Discovery of a novel class of inhaled dual pharmacology muscarinic antagonist and β2 agonist (MABA) for the treatment of chronic obstructive pulmonary disease (COPD). Bioorganic & Medicinal Chemistry Letters. 41. 127975–127975. 3 indexed citations
10.
Işık, Mehtap, et al.. (2020). Assessing the accuracy of octanol–water partition coefficient predictions in the SAMPL6 Part II log P Challenge. Journal of Computer-Aided Molecular Design. 34(4). 335–370. 50 indexed citations
11.
Rizzi, Andrea, David R. Slochower, Matteo Aldeghi, et al.. (2020). The SAMPL6 SAMPLing challenge: assessing the reliability and efficiency of binding free energy calculations. Journal of Computer-Aided Molecular Design. 34(5). 601–633. 82 indexed citations
12.
Mey, Antonia S. J. S., Bryce K. Allen, Hannah E. Bruce Macdonald, et al.. (2019). Best Practices for Alchemical Free Energy Calculations [Article v1.0]. 2(1). 7 indexed citations
13.
Rizzi, Andrea, Steven Murkli, Wei Yao, et al.. (2018). Overview of the SAMPL6 host–guest binding affinity prediction challenge. Journal of Computer-Aided Molecular Design. 32(10). 937–963. 107 indexed citations
14.
Mobley, David L., Caitlin C. Bannan, Andrea Rizzi, et al.. (2018). Escaping Atom Types in Force Fields Using Direct Chemical Perception. Journal of Chemical Theory and Computation. 14(11). 6076–6092. 121 indexed citations
15.
Contoli, Marco, Maria Rita Rossi, Antonio Spanevello, et al.. (2017). Long-term effects of inhaled corticosteroids on sputum bacterial and viral loads in COPD. European Respiratory Journal. 50(4). 1700451–1700451. 115 indexed citations
16.
Magnoni, Maria Sandra, Marco Caminati, Giorgio Walter Canonica, et al.. (2017). Asthma management among allergists in Italy: results from a survey. Clinical and Molecular Allergy. 15(1). 11–11. 5 indexed citations
18.
Magnoni, Maria Sandra, et al.. (2014). AIMAR survey on COPD phenotypes. Multidisciplinary Respiratory Medicine. 9(1). 16–16. 4 indexed citations
19.
Rizzi, Andrea, Stefano Comai, Antonella Bertazzo, et al.. (2006). An investigation on the possible role of melatonin in melanogenesis. Journal of Mass Spectrometry. 41(4). 517–526. 7 indexed citations
20.
Albrecht, Hugo, Peter Zbinden, Andrea Rizzi, et al.. (2004). High Throughput Screening of β-Amyloid Secretion Inhibitors Using Homogenous Time-Resolved Fluorescence. Combinatorial Chemistry & High Throughput Screening. 7(8). 745–756. 2 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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