Alberto Manganaro

3.0k total citations
41 papers, 1.2k citations indexed

About

Alberto Manganaro is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis and Environmental Chemistry. According to data from OpenAlex, Alberto Manganaro has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Theory and Mathematics, 11 papers in Health, Toxicology and Mutagenesis and 7 papers in Environmental Chemistry. Recurrent topics in Alberto Manganaro's work include Computational Drug Discovery Methods (28 papers), Effects and risks of endocrine disrupting chemicals (6 papers) and Machine Learning in Materials Science (6 papers). Alberto Manganaro is often cited by papers focused on Computational Drug Discovery Methods (28 papers), Effects and risks of endocrine disrupting chemicals (6 papers) and Machine Learning in Materials Science (6 papers). Alberto Manganaro collaborates with scholars based in Italy, Japan and Germany. Alberto Manganaro's co-authors include Emilio Benfenati, Giuseppina Gini, Anna Lombardo, Alessandra Roncaglioni, Fabiola Pizzo, Serena Manganelli, Andrey A. Toropov, Alla P. Toropova, Alessandro Esposito and Orazio Nicolotti and has published in prestigious journals such as The Science of The Total Environment, Chemosphere and International Journal of Molecular Sciences.

In The Last Decade

Alberto Manganaro

41 papers receiving 1.2k citations

Peers

Alberto Manganaro

CTM

HTM

POLLU

Anna Lombardo Italy

Todor Pavlov Bulgaria

Alessandra Roncaglioni Italy

Alessandro Sangion Canada

Domenico Gadaleta Italy

Cecilia Bossa Italy

Simona Kovarich Italy

S. Dimitrov Bulgaria

Tatiana I. Netzeva United Kingdom

Emiel Rorije Netherlands

Anna Lombardo Italy

Alberto Manganaro

574 ×0.9

CTM

495 ×1.5

HTM

209 ×0.8

342 ×1.8

POLLU

175 ×1.1

Citations per year, relative to Alberto Manganaro Alberto Manganaro (= 1×) peers Anna Lombardo

Countries citing papers authored by Alberto Manganaro

Since Specialization

Citations

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

Fields of papers citing papers by Alberto Manganaro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Manganaro

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

All Works

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20 of 20 papers shown

Luciani, Davide, et al.. (2024). ToxEraser cosmetics: A new tool for substitution, towards safer cosmetic ingredients. Computational Toxicology. 31. 100323–100323. 1 indexed citations

Raitano, Giuseppa, et al.. (2024). The VERA software: Implementation of the acute fish toxicity endpoint and its application to pharmaceutical compounds. Chemosphere. 358. 142232–142232. 1 indexed citations

Overmeire, Ilse Van, Philippe Ciffroy, Alberto Manganaro, et al.. (2024). VERMEER FCM: A tool integrating exposure and hazard modelling for chemicals migrating from food contact materials. Food and Chemical Toxicology. 193. 115059–115059. 1 indexed citations

Raitano, Giuseppa, Anna Lombardo, Alessandra Roncaglioni, et al.. (2023). The VEGA Tool to Check the Applicability Domain Gives Greater Confidence in the Prediction of In Silico Models. International Journal of Molecular Sciences. 24(12). 9894–9894. 15 indexed citations

Lombardo, Anna, Alberto Manganaro, Jürgen Arning, & Emilio Benfenati. (2022). Development of new QSAR models for water, sediment, and soil half-life. The Science of The Total Environment. 838(Pt 1). 156004–156004. 10 indexed citations

Raitano, Giuseppa, Daniele Goi, Valentina Pieri, et al.. (2018). (Eco)toxicological maps: A new risk assessment method integrating traditional and in silico tools and its application in the Ledra River (Italy). Environment International. 119. 275–286. 12 indexed citations

Manganelli, Serena, Alessandra Roncaglioni, Kamel Mansouri, et al.. (2018). Development, validation and integration of in silico models to identify androgen active chemicals. Chemosphere. 220. 204–215. 24 indexed citations

Pizzo, Fabiola, et al.. (2016). A new integrated in silico strategy for the assessment and prioritization of persistence of chemicals under REACH. Environment International. 88. 250–260. 22 indexed citations

Benfenati, Emilio, et al.. (2016). New clues on carcinogenicity-related substructures derived from mining two large datasets of chemical compounds. Journal of Environmental Science and Health Part C. 34(2). 97–113. 25 indexed citations

10.

Pizzo, Fabiola, Anna Lombardo, Alberto Manganaro, et al.. (2016). Integrated in silico strategy for PBT assessment and prioritization under REACH. Environmental Research. 151. 478–492. 34 indexed citations

11.

Manganelli, Serena, et al.. (2015). Comparison ofin silicotools for evaluating rat oral acute toxicity. SAR and QSAR in environmental research. 26(1). 1–27. 107 indexed citations

12.

Manganaro, Alberto, et al.. (2015). Predicting persistence in the sediment compartment with a new automatic software based on the k-Nearest Neighbor (k-NN) algorithm. Chemosphere. 144. 1624–1630. 28 indexed citations

13.

Lombardo, Anna, et al.. (2014). A new in silico classification model for ready biodegradability, based on molecular fragments. Chemosphere. 108. 10–16. 34 indexed citations

14.

Floris, Matteo, et al.. (2014). A generalizable definition of chemical similarity for read-across. Journal of Cheminformatics. 6(1). 39–39. 70 indexed citations

15.

Cassano, Antonio, Alberto Manganaro, Todd M. Martin, et al.. (2010). CAESAR models for developmental toxicity. Chemistry Central Journal. 4(S1). S4–S4. 96 indexed citations

16.

Todeschini, Roberto, Davide Ballabio, Viviana Consonni, Alberto Manganaro, & Andrea Mauri. (2009). Canonical Measure of Correlation (CMC) and Canonical Measure of Distance (CMD) between sets of data. Part 1. Theory and simple chemometric applications. Analytica Chimica Acta. 648(1). 45–51. 18 indexed citations

17.

Toropov, Andrey A., Alla P. Toropova, Emilio Benfenati, & Alberto Manganaro. (2009). QSAR modelling of the toxicity to Tetrahymena pyriformis by balance of correlations. Molecular Diversity. 14(4). 821–827. 16 indexed citations

18.

Consonni, Viviana, Davide Ballabio, Alberto Manganaro, Andrea Mauri, & Roberto Todeschini. (2009). Canonical Measure of Correlation (CMC) and Canonical Measure of Distance (CMD) between sets of data. Analytica Chimica Acta. 648(1). 52–59. 9 indexed citations

19.

Toropov, Andrey A., Alla P. Toropova, Emilio Benfenati, & Alberto Manganaro. (2009). QSPR modeling of enthalpies of formation for organometallic compounds by SMART‐based optimal descriptors. Journal of Computational Chemistry. 30(15). 2576–2582. 7 indexed citations

20.

Manganaro, Alberto, et al.. (2008). The DART (Decision Analysis by Ranking Techniques) software. 193–207. 1 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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