Manuela Pavan

3.2k total citations
46 papers, 2.2k citations indexed

About

Manuela Pavan is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis and Food Science. According to data from OpenAlex, Manuela Pavan has authored 46 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Theory and Mathematics, 16 papers in Health, Toxicology and Mutagenesis and 13 papers in Food Science. Recurrent topics in Manuela Pavan's work include Computational Drug Discovery Methods (23 papers), Pesticide Residue Analysis and Safety (12 papers) and Effects and risks of endocrine disrupting chemicals (8 papers). Manuela Pavan is often cited by papers focused on Computational Drug Discovery Methods (23 papers), Pesticide Residue Analysis and Safety (12 papers) and Effects and risks of endocrine disrupting chemicals (8 papers). Manuela Pavan collaborates with scholars based in Italy, Belgium and Spain. Manuela Pavan's co-authors include Roberto Todeschini, Viviana Consonni, Andrew Worth, Andrea Mauri, Tatiana I. Netzeva, Paola Gramatica, Arianna Bassan, Ivanka Tsakovska, Grace Patlewicz and Ana Gallegos and has published in prestigious journals such as Chemosphere, Analytica Chimica Acta and Food and Chemical Toxicology.

In The Last Decade

Manuela Pavan

44 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuela Pavan Italy 22 1.3k 474 438 415 338 46 2.2k
Tatiana I. Netzeva United Kingdom 28 1.2k 0.9× 433 0.9× 581 1.3× 353 0.9× 241 0.7× 46 1.9k
Judith C. Madden United Kingdom 32 1.2k 1.0× 627 1.3× 740 1.7× 363 0.9× 230 0.7× 104 3.0k
Alessandra Roncaglioni Italy 25 1.1k 0.8× 446 0.9× 475 1.1× 231 0.6× 198 0.6× 116 2.0k
Steven J. Enoch United Kingdom 31 1.2k 0.9× 573 1.2× 720 1.6× 328 0.8× 167 0.5× 79 2.7k
Aynur O. Aptula United Kingdom 32 1.1k 0.8× 436 0.9× 567 1.3× 644 1.6× 208 0.6× 56 3.0k
Ralf‐Uwe Ebert Germany 22 795 0.6× 227 0.5× 601 1.4× 412 1.0× 287 0.8× 35 1.9k
Pravin Ambure India 18 1.6k 1.2× 706 1.5× 229 0.5× 612 1.5× 179 0.5× 26 2.4k
Nina Jeliazkova United Kingdom 25 1.5k 1.2× 915 1.9× 347 0.8× 273 0.7× 305 0.9× 67 2.7k
Probir Kumar Ojha India 23 1.7k 1.4× 797 1.7× 199 0.5× 710 1.7× 257 0.8× 79 2.8k
Rudra Narayan Das India 20 1.8k 1.5× 719 1.5× 201 0.5× 777 1.9× 342 1.0× 27 2.9k

Countries citing papers authored by Manuela Pavan

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Pavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuela Pavan

This figure shows the co-authorship network connecting the top 25 collaborators of Manuela Pavan. A scholar is included among the top collaborators of Manuela Pavan 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 Manuela Pavan. Manuela Pavan 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
2.
Johnson, Candice, et al.. (2023). Characterizing Extractables and Leachables Chemical Space to Support In Silico Toxicological Hazard Assessments. PDA Journal of Pharmaceutical Science and Technology. 78(3). 237–311.
3.
Bassan, Arianna, Manuela Pavan, & Elena Lo Piparo. (2022). Mutagenic potential and structural alerts of phytotoxins. Food and Chemical Toxicology. 173. 113562–113562. 2 indexed citations
4.
Pavan, Manuela, et al.. (2022). Machine Learning based Prediction for Channel Stability in a 5G Network. 1–4. 1 indexed citations
5.
Myatt, Glenn J., Arianna Bassan, Dave Bower, et al.. (2021). Implementation of in silico toxicology protocols within a visual and interactive hazard assessment platform. Computational Toxicology. 21. 100201–100201. 3 indexed citations
6.
Ceriani, Lidia, et al.. (2018). Final report on the update and maintenance of OpenFoodTox: EFSA's Chemical Hazards Database. EFSA Supporting Publications. 15(7). 7 indexed citations
7.
Kovarich, Simona, et al.. (2017). Update and maintenance of EFSA's Chemical Hazards Database. EFSA Supporting Publications. 14(4). 6 indexed citations
8.
Pavan, Manuela, et al.. (2016). The Consultancy Activity on In Silico Models for Genotoxic Prediction of Pharmaceutical Impurities. Methods in molecular biology. 1425. 511–529. 4 indexed citations
9.
Carnesecchi, Edoardo, J.L.C.M. Dorne, Jane Richardson, et al.. (2016). Predicting acute contact toxicity of pesticides in honeybees (Apis mellifera) through a k-nearest neighbor model. Chemosphere. 166. 438–444. 49 indexed citations
10.
Kovarich, Simona, et al.. (2015). Further development and update of EFSA's Chemical Hazards Database. EFSA Supporting Publications. 12(7). 10 indexed citations
11.
Péry, Alexandre R.R., Céline Brochot, Florence Zeman, et al.. (2013). Prediction of dose-hepatotoxic response in humans based on toxicokinetic/toxicodynamic modeling with or without in vivo data: A case study with acetaminophen. Toxicology Letters. 220(1). 26–34. 30 indexed citations
12.
Fioravanzo, Elena, et al.. (2013). Report on “Data collection and data entry for EFSA's chemical hazards database NP/EFSA/EMRISK/2011/01”. EFSA Supporting Publications. 10(7). 3 indexed citations
13.
Bassan, Arianna, Elena Fioravanzo, Manuela Pavan, & Matteo Stocchero. (2011). Applicability of physicochemical data, QSARs and read‐across in Threshold of Toxicological Concern assessment. EFSA Supporting Publications. 8(6). 20 indexed citations
14.
Pavan, Manuela, et al.. (2008). A set of case studies to illustrate the applicability of DART (Decision Analysis by Ranking Techniques) in the ranking of chemicals. 15 indexed citations
15.
Tsakovska, Ivanka, Ana Gallegos, Tatiana I. Netzeva, Manuela Pavan, & Andrew Worth. (2007). Evaluation of SARs for the prediction of eye irritation/corrosion potential–structural inclusion rules in the BfR decision support system†. SAR and QSAR in environmental research. 18(3-4). 221–235. 22 indexed citations
16.
Gallegos, Ana, Ivanka Tsakovska, Manuela Pavan, Grace Patlewicz, & Andrew Worth. (2007). Evaluation of SARs for the prediction of skin irritation/corrosion potential–structural inclusion rules in the BfR decision support system†. SAR and QSAR in environmental research. 18(3-4). 331–342. 21 indexed citations
17.
Pavan, Manuela, Tatiana I. Netzeva, & Andrew Worth. (2006). Validation of a QSAR model for acute toxicity. SAR and QSAR in environmental research. 17(2). 147–171. 35 indexed citations
18.
Vračko, Marjan, Vinko Bandelj, Pierluigi Barbieri, et al.. (2006). Validation of counter propagation neural network models for predictive toxicology according to the OECD principles: a case study. SAR and QSAR in environmental research. 17(3). 265–284. 37 indexed citations
19.
Pavan, Manuela, Roberto Todeschini, & Marco Orlandi. (2006). Data Mining by Total Ranking Methods: A Case Study on Optimisation of the “Pulp and Bleaching” Process in the Paper Industry. Annali di Chimica. 96(1-2). 13–27. 10 indexed citations
20.
Backhaus, Thomas, Rolf Altenburger, Åsa Arrhenius, et al.. (2003). The BEAM-project: prediction and assessment of mixture toxicities in the aquatic environment. Continental Shelf Research. 23(17-19). 1757–1769. 104 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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