Anna Lombardo

1.9k total citations
49 papers, 1.4k citations indexed

About

Anna Lombardo is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis and Pollution. According to data from OpenAlex, Anna Lombardo has authored 49 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Theory and Mathematics, 23 papers in Health, Toxicology and Mutagenesis and 11 papers in Pollution. Recurrent topics in Anna Lombardo's work include Computational Drug Discovery Methods (28 papers), Environmental Toxicology and Ecotoxicology (13 papers) and Pesticide Residue Analysis and Safety (9 papers). Anna Lombardo is often cited by papers focused on Computational Drug Discovery Methods (28 papers), Environmental Toxicology and Ecotoxicology (13 papers) and Pesticide Residue Analysis and Safety (9 papers). Anna Lombardo collaborates with scholars based in Italy, Germany and India. Anna Lombardo's co-authors include Emilio Benfenati, Alessandra Roncaglioni, Fabiola Pizzo, Alberto Manganaro, Diego Baderna, Domenico Gadaleta, Kunal Roy, Claudia Cappelli, Andrey A. Toropov and Alla P. Toropova and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Anna Lombardo

49 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Lombardo Italy 25 574 495 342 209 175 49 1.4k
Monika Nendza Germany 19 360 0.6× 696 1.4× 411 1.2× 199 1.0× 163 0.9× 47 1.4k
Alberto Manganaro Italy 20 607 1.1× 337 0.7× 192 0.6× 253 1.2× 153 0.9× 41 1.2k
S. Dimitrov Bulgaria 25 790 1.4× 713 1.4× 418 1.2× 332 1.6× 323 1.8× 59 2.0k
Ralf‐Uwe Ebert Germany 22 795 1.4× 601 1.2× 450 1.3× 227 1.1× 212 1.2× 35 1.9k
Alessandro Sangion Canada 18 428 0.7× 360 0.7× 292 0.9× 180 0.9× 197 1.1× 30 1.1k
Li‐Tang Qin China 19 203 0.4× 397 0.8× 398 1.2× 127 0.6× 137 0.8× 65 1.1k
Alessandra Roncaglioni Italy 25 1.1k 1.8× 475 1.0× 195 0.6× 446 2.1× 178 1.0× 116 2.0k
Stefano Cassani Italy 10 848 1.5× 281 0.6× 245 0.7× 321 1.5× 207 1.2× 32 1.5k
Mike Comber United Kingdom 20 252 0.4× 696 1.4× 492 1.4× 99 0.5× 233 1.3× 29 1.3k
Simona Kovarich Italy 16 840 1.5× 302 0.6× 162 0.5× 344 1.6× 187 1.1× 34 1.5k

Countries citing papers authored by Anna Lombardo

Since Specialization
Citations

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

Fields of papers citing papers by Anna Lombardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Lombardo

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Lombardo. A scholar is included among the top collaborators of Anna Lombardo 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 Anna Lombardo. Anna Lombardo 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.
Topping, Christopher John, Agnieszka J. Bednarska, Emilio Benfenati, et al.. (2024). PollinERA: Understanding pesticide-Pollinator interactions to support EU Environmental Risk Assessment and policy. SHILAP Revista de lepidopterología. 10. 2 indexed citations
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.
Owen, Stewart F., Daniela Angst, Caroline Moermond, et al.. (2024). Design of greener drugs: aligning parameters in pharmaceutical R&D and drivers for environmental impact. Drug Discovery Today. 29(7). 104022–104022. 8 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.
Backhaus, Thomas, et al.. (2023). Prioritisation of data-poor pharmaceuticals for empirical testing and environmental risk assessment. Environment International. 183. 108379–108379. 8 indexed citations
6.
Khan, Kabiruddin, et al.. (2022). Intelligent consensus predictions of bioconcentration factor of pharmaceuticals using 2D and fragment-based descriptors. Environment International. 170. 107625–107625. 20 indexed citations
7.
Khan, Kabiruddin, Giovanna J. Lavado, Diego Baderna, et al.. (2019). QSAR modeling of Daphnia magna and fish toxicities of biocides using 2D descriptors. Chemosphere. 229. 8–17. 77 indexed citations
8.
Lombardo, Anna, et al.. (2018). QSARpy: A new flexible algorithm to generate QSAR models based on dissimilarities. The log Kow case study. The Science of The Total Environment. 637-638. 1158–1165. 9 indexed citations
9.
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
10.
Toropov, Andrey A., Alla P. Toropova, Fabiola Pizzo, et al.. (2015). CORAL: model for no observed adverse effect level (NOAEL). Molecular Diversity. 19(3). 563–575. 21 indexed citations
11.
Cappelli, Claudia, et al.. (2015). Assessment ofin silicomodels for acute aquatic toxicity towards fish under REACH regulation. SAR and QSAR in environmental research. 26(12). 977–999. 17 indexed citations
12.
Pizzo, Fabiola, Domenico Gadaleta, Anna Lombardo, Orazio Nicolotti, & Emilio Benfenati. (2015). Identification of structural alerts for liver and kidney toxicity using repeated dose toxicity data. Chemistry Central Journal. 9(1). 62–62. 31 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.
Lombardo, Anna, Alessandra Roncaglioni, Monika Nendza, et al.. (2014). Integrated testing strategy (ITS) for bioaccumulation assessment under REACH. Environment International. 69. 40–50. 15 indexed citations
15.
Cassano, Antonio, et al.. (2014). Comparison ofin silicomodels for prediction ofDaphnia magnaacute toxicity. SAR and QSAR in environmental research. 25(8). 673–694. 33 indexed citations
16.
Cappelli, Claudia, Serena Manganelli, Anna Lombardo, Andrea Gissi, & Emilio Benfenati. (2013). Validation of quantitative structure–activity relationship models to predict water-solubility of organic compounds. The Science of The Total Environment. 463-464. 781–789. 16 indexed citations
17.
Fernández, Alberto, Anna Lombardo, Robert Ralló, et al.. (2012). Quantitative consensus of bioaccumulation models for integrated testing strategies. Environment International. 45. 51–58. 39 indexed citations
18.
Baderna, Diego, Silvia Maggioni, Elena Boriani, et al.. (2011). A combined approach to investigate the toxicity of an industrial landfill’s leachate: Chemical analyses, risk assessment and in vitro assays. Environmental Research. 111(4). 603–613. 129 indexed citations
19.
Lombardo, Anna, et al.. (2010). CAESAR’s approach for alternative in silico methods for REACH. 27. 109–116. 1 indexed citations
20.
Toropova, Alla P., et al.. (2010). A new bioconcentration factor model based on SMILES and indices of presence of atoms. European Journal of Medicinal Chemistry. 45(9). 4399–4402. 28 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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