Alicia Paini

3.9k total citations
79 papers, 2.0k citations indexed

About

Alicia Paini is a scholar working on Health, Toxicology and Mutagenesis, Small Animals and Cancer Research. According to data from OpenAlex, Alicia Paini has authored 79 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Health, Toxicology and Mutagenesis, 24 papers in Small Animals and 17 papers in Cancer Research. Recurrent topics in Alicia Paini's work include Effects and risks of endocrine disrupting chemicals (32 papers), Animal testing and alternatives (24 papers) and Carcinogens and Genotoxicity Assessment (17 papers). Alicia Paini is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (32 papers), Animal testing and alternatives (24 papers) and Carcinogens and Genotoxicity Assessment (17 papers). Alicia Paini collaborates with scholars based in Italy, United States and United Kingdom. Alicia Paini's co-authors include Andrew Worth, Judith C. Madden, M Cronin, Stephanie K. Bopp, Ivonne M.C.M. Rietjens, Peter J. van Bladeren, Steven J. Enoch, Benoı̂t Schilter, Gabriele Scholz and Ans Punt and has published in prestigious journals such as The Science of The Total Environment, Environment International and Food and Chemical Toxicology.

In The Last Decade

Alicia Paini

74 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alicia Paini Italy 25 780 420 388 346 340 79 2.0k
Sharon Munn Italy 17 1.1k 1.4× 365 0.9× 481 1.2× 416 1.2× 398 1.2× 24 2.3k
Nynke I. Kramer Netherlands 24 847 1.1× 262 0.6× 286 0.7× 213 0.6× 203 0.6× 66 1.9k
Timothy P. Pastoor United States 20 724 0.9× 201 0.5× 332 0.9× 143 0.4× 564 1.7× 29 1.7k
Barbara A. Wetmore United States 30 1.6k 2.0× 666 1.6× 531 1.4× 561 1.6× 574 1.7× 60 2.8k
Robert D. Combes United Kingdom 27 787 1.0× 645 1.5× 576 1.5× 531 1.5× 612 1.8× 154 2.6k
Steven J. Enoch United Kingdom 31 720 0.9× 401 1.0× 573 1.5× 1.2k 3.4× 140 0.4× 79 2.7k
Michelle R. Embry United States 30 1.6k 2.0× 319 0.8× 322 0.8× 233 0.7× 282 0.8× 76 2.6k
John E. Doe United Kingdom 19 727 0.9× 318 0.8× 261 0.7× 146 0.4× 559 1.6× 46 1.7k
Nancy G. Doerrer United States 19 711 0.9× 276 0.7× 312 0.8× 146 0.4× 486 1.4× 29 1.5k
Daniel M. Rotroff United States 26 1.3k 1.7× 547 1.3× 910 2.3× 768 2.2× 401 1.2× 90 3.4k

Countries citing papers authored by Alicia Paini

Since Specialization
Citations

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

Fields of papers citing papers by Alicia Paini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alicia Paini

This figure shows the co-authorship network connecting the top 25 collaborators of Alicia Paini. A scholar is included among the top collaborators of Alicia Paini 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 Alicia Paini. Alicia Paini 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.
Wambaugh, John F., Katie Paul Friedman, Marc A. Beal, et al.. (2025). Applying New Approach Methods for Toxicokinetics for Chemical Risk Assessment. Chemical Research in Toxicology. 38(8). 1408–1441.
2.
Paini, Alicia, et al.. (2025). Potential systemic availability classification of chemicals for safety assessment. Environment International. 202. 109636–109636.
3.
Gadaleta, Domenico, et al.. (2024). Systematic evaluation of high-throughput PBK modelling strategies for the prediction of intravenous and oral pharmacokinetics in humans. Archives of Toxicology. 98(8). 2659–2676. 11 indexed citations
4.
Jeddi, Maryam Zare, Alicia Paini, Alison Connolly, et al.. (2024). Human biomonitoring and toxicokinetics as key building blocks for next generation risk assessment. Environment International. 184. 108474–108474. 24 indexed citations
5.
Carnesecchi, Edoardo, Patience Browne, Sofia Batista Leite, et al.. (2023). OECD harmonised template 201: Structuring and reporting mechanistic information to foster the integration of new approach methodologies for hazard and risk assessment of chemicals. Regulatory Toxicology and Pharmacology. 142. 105426–105426. 15 indexed citations
6.
Baier, Vanessa, Alicia Paini, Stephan Schaller, et al.. (2022). A Generic Avian Physiologically-Based Kinetic (Pbk) Model and its Application in Three Bird Species. SSRN Electronic Journal. 2 indexed citations
7.
8.
Firman, James W., Michael R. Goldsmith, Chris Grulke, et al.. (2021). A Systematic Review of Published Physiologically-based Kinetic Models and an Assessment of their Chemical Space Coverage. Alternatives to Laboratory Animals. 49(5). 197–208. 25 indexed citations
9.
Paini, Alicia, Nikolaos Parissis, Andrew Worth, et al.. (2020). Physiologically based kinetic (PBK) modelling and human biomonitoring data for mixture risk assessment. Environment International. 143. 105978–105978. 29 indexed citations
10.
Bopp, Stephanie K., Aude Kienzler, Andrea-Nicole Richarz, et al.. (2019). Regulatory assessment and risk management of chemical mixtures: challenges and ways forward. Critical Reviews in Toxicology. 49(2). 174–189. 144 indexed citations
11.
Tan, Yu‐Mei, Jeremy A. Leonard, Stephen W. Edwards, et al.. (2018). Aggregate exposure pathways in support of risk assessment. Current Opinion in Toxicology. 9. 8–13. 21 indexed citations
12.
Villeneuve, Daniel L., Brigitte Landesmann, Paola Allavena, et al.. (2018). Representing the Process of Inflammation as Key Events in Adverse Outcome Pathways. Toxicological Sciences. 163(2). 346–352. 46 indexed citations
13.
Graepel, Rabea, Lara Lamon, David Asturiol, et al.. (2017). The virtual cell based assay: Current status and future perspectives. Toxicology in Vitro. 45(Pt 2). 258–267. 14 indexed citations
14.
Paini, Alicia, et al.. (2017). From in vitro to in vivo: Integration of the virtual cell based assay with physiologically based kinetic modelling. Toxicology in Vitro. 45(Pt 2). 241–248. 20 indexed citations
15.
Ciffroy, Philippe, Gabriella Fait, Wouter Fransman, et al.. (2016). Development of a standard documentation protocol for communicating exposure models. The Science of The Total Environment. 568. 557–565. 7 indexed citations
16.
Paini, Alicia, Milena Mennecozzi, Tomislav Horvat, et al.. (2016). Practical use of the Virtual Cell Based Assay: Simulation of repeated exposure experiments in liver cell lines. Toxicology in Vitro. 45(Pt 2). 233–240. 13 indexed citations
17.
Bal‐Price, Anna, Kevin M. Crofton, Magdalini Sachana, et al.. (2015). Putative adverse outcome pathways relevant to neurotoxicity. Critical Reviews in Toxicology. 45(1). 83–91. 82 indexed citations
18.
Paini, Alicia, et al.. (2014). In vitro-to-in vivo correlation of the skin penetration, liver clearance and hepatotoxicity of caffeine. Food and Chemical Toxicology. 75. 39–49. 39 indexed citations
19.
20.
Paini, Alicia, Ans Punt, Jochem Louisse, et al.. (2010). Identification of nevadensin as an important herb-based constituent inhibiting estragole bioactivation and physiology-based biokinetic modeling of its possible in vivo effect. Toxicology and Applied Pharmacology. 245(2). 179–190. 45 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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