Giuseppa Raitano

778 total citations
27 papers, 437 citations indexed

About

Giuseppa Raitano is a scholar working on Computational Theory and Mathematics, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Giuseppa Raitano has authored 27 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 7 papers in Molecular Biology and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Giuseppa Raitano's work include Computational Drug Discovery Methods (18 papers), Carcinogens and Genotoxicity Assessment (7 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Giuseppa Raitano is often cited by papers focused on Computational Drug Discovery Methods (18 papers), Carcinogens and Genotoxicity Assessment (7 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Giuseppa Raitano collaborates with scholars based in Italy, France and Belgium. Giuseppa Raitano's co-authors include Emilio Benfenati, Alessandra Roncaglioni, Douglas Young, Todd M. Martin, Enrico Mombelli, Alberto Manganaro, Alberto Fernández, Giuseppina Gini, Antonio Cassano and Andrey A. Toropov and has published in prestigious journals such as Journal of Hazardous Materials, Chemosphere and International Journal of Molecular Sciences.

In The Last Decade

Giuseppa Raitano

26 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giuseppa Raitano Italy 13 251 120 109 77 54 27 437
Kirk Arvidson United States 11 223 0.9× 98 0.8× 132 1.2× 59 0.8× 37 0.7× 13 444
Paolo Mazzatorta Italy 12 282 1.1× 114 0.9× 114 1.0× 49 0.6× 44 0.8× 24 483
Claire M. Ellison United Kingdom 11 242 1.0× 91 0.8× 158 1.4× 34 0.4× 50 0.9× 14 469
Serena Manganelli Italy 13 262 1.0× 96 0.8× 87 0.8× 35 0.5× 38 0.7× 27 484
Jay Russell Niemelä Denmark 10 294 1.2× 103 0.9× 186 1.7× 48 0.6× 45 0.8× 16 631
Suman Chakravarti United States 12 278 1.1× 171 1.4× 59 0.5× 39 0.5× 64 1.2× 26 494
Nadezhda Dimitrova Bulgaria 9 252 1.0× 128 1.1× 166 1.5× 31 0.4× 126 2.3× 20 570
Susanne Glowienke Switzerland 16 221 0.9× 136 1.1× 172 1.6× 237 3.1× 61 1.1× 28 700
Yuki Sakuratani Japan 10 134 0.5× 49 0.4× 145 1.3× 34 0.4× 58 1.1× 23 360
Nikolai Georgiev Nikolov Denmark 12 127 0.5× 69 0.6× 137 1.3× 34 0.4× 26 0.5× 38 391

Countries citing papers authored by Giuseppa Raitano

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppa Raitano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppa Raitano

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppa Raitano. A scholar is included among the top collaborators of Giuseppa Raitano 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 Giuseppa Raitano. Giuseppa Raitano 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.
Raitano, Giuseppa, Tessa E. Pronk, Chiara Laura Battistelli, et al.. (2026). Variability and uncertainty of data from genotoxicity test guidelines: what we know and why it matters. Archives of Toxicology.
2.
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
3.
Yalçın, Can Özgür, et al.. (2024). Comprehensive evaluation of the toxicological effects of commonly encountered synthetic cathinones using in silico methods. Toxicology Research. 14(1). tfaf012–tfaf012. 1 indexed citations
4.
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
5.
Mombelli, Enrico, Giuseppa Raitano, & Emilio Benfenati. (2022). In Silico Prediction of Chemically Induced Mutagenicity: A Weight of Evidence Approach Integrating Information from QSAR Models and Read-Across Predictions. Methods in molecular biology. 2425. 149–183. 7 indexed citations
6.
Raitano, Giuseppa, Masamitsu Honma, Els Van Hoeck, et al.. (2020). New QSAR models to predict chromosome damaging potential based on the in vivo micronucleus test. Toxicology Letters. 329. 80–84. 8 indexed citations
7.
Toma, Cosimo, Alberto Manganaro, Giuseppa Raitano, et al.. (2020). QSAR Models for Human Carcinogenicity: An Assessment Based on Oral and Inhalation Slope Factors. Molecules. 26(1). 127–127. 15 indexed citations
8.
Baderna, Diego, et al.. (2019). New in silico models to predict in vitro micronucleus induction as marker of genotoxicity. Journal of Hazardous Materials. 385. 121638–121638. 32 indexed citations
9.
Carnesecchi, Edoardo, et al.. (2019). Evaluation of non-commercial models for genotoxicity and carcinogenicity in the assessment of EFSA’s databases. SAR and QSAR in environmental research. 31(1). 33–48. 5 indexed citations
10.
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
11.
Toropov, Andrey A., Alla P. Toropova, Giuseppa Raitano, & Emilio Benfenati. (2018). CORAL: Building up QSAR models for the chromosome aberration test. Saudi Journal of Biological Sciences. 26(6). 1101–1106. 28 indexed citations
12.
Raitano, Giuseppa, et al.. (2018). In silico model for mutagenicity (Ames test), taking into account metabolism. Mutagenesis. 34(1). 41–48. 12 indexed citations
13.
Benfenati, Emilio, Giuseppa Raitano, Alessandra Roncaglioni, et al.. (2018). A large comparison of integrated SAR/QSAR models of the Ames test for mutagenicity$. SAR and QSAR in environmental research. 29(8). 591–611. 19 indexed citations
14.
Hoeck, Els Van, Giuseppa Raitano, Serena Manganelli, et al.. (2017). (Q)SAR tools for priority setting: A case study with printed paper and board food contact material substances. Food and Chemical Toxicology. 102. 109–119. 16 indexed citations
15.
Mombelli, Enrico, Giuseppa Raitano, & Emilio Benfenati. (2016). In Silico Prediction of Chemically Induced Mutagenicity: How to Use QSAR Models and Interpret Their Results. Methods in molecular biology. 1425. 87–105. 11 indexed citations
16.
17.
Benfenati, Emilio, Serena Manganelli, Sabrina Giordano, Giuseppa Raitano, & Alberto Manganaro. (2015). Hierarchical Rules for Read-Across and In Silico Models of Mutagenicity. Journal of Environmental Science and Health Part C. 33(4). 385–403. 9 indexed citations
18.
Cassano, Antonio, Giuseppa Raitano, Enrico Mombelli, et al.. (2014). Evaluation of QSAR Models for the Prediction of Ames Genotoxicity: A Retrospective Exercise on the Chemical Substances Registered Under the EU REACH Regulation. Journal of Environmental Science and Health Part C. 32(3). 273–298. 59 indexed citations
19.
Raitano, Giuseppa, et al.. (2013). Comparison of In Silico Models for Prediction of Mutagenicity. Journal of Environmental Science and Health Part C. 31(1). 45–66. 87 indexed citations
20.
Benfenati, Emilio, Giuseppa Raitano, & Giuseppina Gini. (2013). Overtaking barriers between toxicologists and computers: The example of vega. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 268–272. 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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