Alessandro Brigo

2.0k total citations
18 papers, 1.1k citations indexed

About

Alessandro Brigo is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Alessandro Brigo has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Infectious Diseases. Recurrent topics in Alessandro Brigo's work include Computational Drug Discovery Methods (6 papers), Carcinogens and Genotoxicity Assessment (4 papers) and HIV/AIDS drug development and treatment (4 papers). Alessandro Brigo is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Carcinogens and Genotoxicity Assessment (4 papers) and HIV/AIDS drug development and treatment (4 papers). Alessandro Brigo collaborates with scholars based in Switzerland, Italy and United States. Alessandro Brigo's co-authors include Federico Fogolari, Henriette Molinari, James M. Briggs, Gabriela Mustata, Wolfgang Muster, Keun Woo Lee, Stefano Moro, Paolo Scrimin, Quirinus B. Broxterman and Lucia Pasquato and has published in prestigious journals such as Angewandte Chemie International Edition, Biophysical Journal and Proteins Structure Function and Bioinformatics.

In The Last Decade

Alessandro Brigo

18 papers receiving 1.0k citations

Peers

Alessandro Brigo

MB

CTM

MC

AMPO

OC

Linda Y. Zhang United States

Miguel X. Fernandes Spain

Boris Aguilar United States

Koushi Hidaka Japan

Antonio Morreale Spain

Jennifer L. Miller United States

Angela N. Migues United States

Ramón Goñi Spain

Peter J. Winn United Kingdom

Kellon Belfon United States

Linda Y. Zhang United States

Alessandro Brigo

821 ×1.4

MB

264 ×1.1

CTM

196 ×1.3

MC

145 ×1.1

AMPO

304 ×2.5

OC

Citations per year, relative to Alessandro Brigo Alessandro Brigo (= 1×) peers Linda Y. Zhang

Countries citing papers authored by Alessandro Brigo

Since Specialization

Citations

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

Fields of papers citing papers by Alessandro Brigo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Brigo

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Brigo. A scholar is included among the top collaborators of Alessandro Brigo 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 Alessandro Brigo. Alessandro Brigo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

Mendel, Marta, Paul Westwood, Claudia Bonardi, et al.. (2025). SARM1 base-exchange inhibitors induce SARM1 activation and neurodegeneration at low doses. 2(1). 2 indexed citations

2.

Foster, Robert S., Alessandro Brigo, Wolfgang Muster, et al.. (2023). Assessing the utility of common arguments used in expert review of in silico predictions as part of ICH M7 assessments. Regulatory Toxicology and Pharmacology. 144. 105490–105490. 3 indexed citations

3.

Bassani, Davide, et al.. (2023). Federated Learning in Computational Toxicology: An Industrial Perspective on the Effiris Hackathon. Chemical Research in Toxicology. 36(9). 1503–1517. 8 indexed citations

4.

Brigo, Alessandro, et al.. (2022). Increasing the Value of Data Within a Large Pharmaceutical Company Through In Silico Models. Methods in molecular biology. 2425. 637–674. 2 indexed citations

5.

Zeller, Andreas, Alessandro Brigo, Andreas Brink, et al.. (2019). Genotoxicity Assessment of Drug Metabolites in the Context of MIST and Beyond. Chemical Research in Toxicology. 33(1). 10–19. 9 indexed citations

6.

Brigo, Alessandro & Wolfgang Muster. (2016). The Use of In Silico Models Within a Large Pharmaceutical Company. Methods in molecular biology. 1425. 475–510. 1 indexed citations

7.

Williams, Richard V., Alexander Amberg, Alessandro Brigo, et al.. (2016). It's difficult, but important, to make negative predictions. Regulatory Toxicology and Pharmacology. 76. 79–86. 43 indexed citations

8.

Barber, Chris, Thierry Hanser, Jonathan D. Vessey, et al.. (2015). Evaluation of a statistics-based Ames mutagenicity QSAR model and interpretation of the results obtained. Regulatory Toxicology and Pharmacology. 76. 7–20. 35 indexed citations

9.

Sutter, Andreas, Alexander Amberg, Scott Boyer, et al.. (2013). Use of in silico systems and expert knowledge for structure-based assessment of potentially mutagenic impurities. Regulatory Toxicology and Pharmacology. 67(1). 39–52. 88 indexed citations

10.

Hillebrecht, Alexander, Wolfgang Muster, Alessandro Brigo, et al.. (2011). Comparative Evaluation of in Silico Systems for Ames Test Mutagenicity Prediction: Scope and Limitations. Chemical Research in Toxicology. 24(6). 843–854. 72 indexed citations

11.

Brigo, Alessandro, Keun Woo Lee, Gabriela Mustata, & James M. Briggs. (2005). Comparison of Multiple Molecular Dynamics Trajectories Calculated for the Drug-Resistant HIV-1 Integrase T66I/M154I Catalytic Domain. Biophysical Journal. 88(5). 3072–3082. 41 indexed citations

12.

Brigo, Alessandro, Gabriela Mustata, James M. Briggs, & Stefano Moro. (2005). Discovery of HIV-1 Integrase Inhibitors through a Novel Combination of Ligand and Structure-based Drug Design. Medicinal Chemistry. 1(3). 263–275. 9 indexed citations

13.

Brigo, Alessandro, Keun Woo Lee, Federico Fogolari, Gabriela Mustata, & James M. Briggs. (2005). Comparative molecular dynamics simulations of HIV‐1 integrase and the T66I/M154I mutant: Binding modes and drug resistance to a diketo acid inhibitor. Proteins Structure Function and Bioinformatics. 59(4). 723–741. 36 indexed citations

14.

Mustata, Gabriela, Alessandro Brigo, & James M. Briggs. (2004). HIV-1 integrase pharmacophore model derived from diverse classes of inhibitors. Bioorganic & Medicinal Chemistry Letters. 14(6). 1447–1454. 39 indexed citations

15.

Fogolari, Federico, Alessandro Brigo, & Henriette Molinari. (2003). Protocol for MM/PBSA Molecular Dynamics Simulations of Proteins. Biophysical Journal. 85(1). 159–166. 155 indexed citations

16.

Pengo, Paolo, Lucia Pasquato, Stefano Moro, et al.. (2003). Quantitative Correlation of Solvent Polarity with the α‐/3₁₀‐Helix Equilibrium: A Heptapeptide Behaves as a Solvent‐Driven Molecular Spring. Angewandte Chemie International Edition. 42(29). 3388–3392. 87 indexed citations

17.

Pengo, Paolo, Lucia Pasquato, Stefano Moro, et al.. (2003). Quantitative Correlation of Solvent Polarity with the α‐/3₁₀‐Helix Equilibrium: A Heptapeptide Behaves as a Solvent‐Driven Molecular Spring. Angewandte Chemie. 115(29). 3510–3514. 23 indexed citations

18.

Fogolari, Federico, Alessandro Brigo, & Henriette Molinari. (2002). The Poisson–Boltzmann equation for biomolecular electrostatics: a tool for structural biology. Journal of Molecular Recognition. 15(6). 377–392. 407 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.

Explore authors with similar magnitude of impact