Andrew Worth

14.2k total citations · 1 hit paper
198 papers, 8.1k citations indexed

About

Andrew Worth is a scholar working on Computational Theory and Mathematics, Small Animals and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Andrew Worth has authored 198 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Computational Theory and Mathematics, 63 papers in Small Animals and 60 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Andrew Worth's work include Computational Drug Discovery Methods (87 papers), Animal testing and alternatives (63 papers) and Effects and risks of endocrine disrupting chemicals (44 papers). Andrew Worth is often cited by papers focused on Computational Drug Discovery Methods (87 papers), Animal testing and alternatives (63 papers) and Effects and risks of endocrine disrupting chemicals (44 papers). Andrew Worth collaborates with scholars based in Italy, United Kingdom and Belgium. Andrew Worth's co-authors include M Cronin, Joanna Jaworska, Enrico Burello, Grace Patlewicz, Paola Gramatica, Lennart Eriksson, R.M. McDowell, Tatiana I. Netzeva, Manuela Pavan and Nina Jeliazkova and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Andrew Worth

193 papers receiving 7.7k citations

Hit Papers

Methods for reliability and uncertainty assessment and fo... 2003 2026 2010 2018 2003 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs.
    2003 1.1k citations Joanna Jaworska, Andrew Worth et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Worth Italy 46 2.9k 2.3k 1.5k 1.4k 1.1k 198 8.1k
Grace Patlewicz United States 46 2.5k 0.9× 2.4k 1.0× 1.7k 1.2× 1.2k 0.9× 359 0.3× 172 7.7k
Ann M. Richard United States 50 3.9k 1.3× 4.1k 1.8× 1.3k 0.9× 2.9k 2.1× 744 0.7× 116 10.2k
T.W. Schultz United States 48 2.8k 0.9× 2.6k 1.1× 635 0.4× 1.5k 1.1× 412 0.4× 231 7.5k
Emilio Benfenati Italy 53 5.0k 1.7× 3.2k 1.4× 478 0.3× 2.2k 1.6× 1.3k 1.2× 511 11.5k
Nicole Kleinstreuer United States 41 1.6k 0.6× 1.8k 0.8× 1.3k 0.9× 2.1k 1.5× 324 0.3× 152 8.0k
Ruili Huang United States 48 2.6k 0.9× 1.3k 0.5× 713 0.5× 3.3k 2.4× 422 0.4× 219 8.0k
Romualdo Benigni Italy 37 2.9k 1.0× 950 0.4× 363 0.2× 1.6k 1.2× 632 0.6× 148 5.5k
Joanna Jaworska Poland 30 2.0k 0.7× 990 0.4× 518 0.4× 1.0k 0.7× 364 0.3× 76 4.7k
Ovanes Mekenyan Bulgaria 39 2.2k 0.8× 1.6k 0.7× 472 0.3× 702 0.5× 235 0.2× 173 4.6k
Menghang Xia United States 45 1.9k 0.6× 1.5k 0.6× 684 0.5× 3.2k 2.3× 321 0.3× 231 7.6k

Countries citing papers authored by Andrew Worth

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Worth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Worth

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Worth. A scholar is included among the top collaborators of Andrew Worth 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 Andrew Worth. Andrew Worth 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.
2.
Baun, Anders, et al.. (2020). Optimising testing strategies for classification of human health and environmental hazards – A proof-of-concept study. Toxicology Letters. 335. 64–70. 2 indexed citations
3.
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
4.
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
5.
Madia, Federica, Andrew Worth, Maurice Whelan, & Raffaella Corvi. (2019). Carcinogenicity assessment: Addressing the challenges of cancer and chemicals in the environment. Environment International. 128. 417–429. 77 indexed citations
6.
Clerbaux, Laure‐Alix, Alicia Paini, Annie Lumen, et al.. (2019). Membrane transporter data to support kinetically-informed chemical risk assessment using non-animal methods: Scientific and regulatory perspectives. Environment International. 126. 659–671. 24 indexed citations
7.
Bal‐Price, Anna, Francesca Pistollato, Magdalini Sachana, et al.. (2018). Strategies to improve the regulatory assessment of developmental neurotoxicity (DNT) using in vitro methods. Toxicology and Applied Pharmacology. 354. 7–18. 98 indexed citations
8.
Lamon, Lara, David Asturiol, Andrea-Nicole Richarz, et al.. (2018). Grouping of nanomaterials to read-across hazard endpoints: from data collection to assessment of the grouping hypothesis by application of chemoinformatic techniques. Particle and Fibre Toxicology. 15(1). 37–37. 43 indexed citations
9.
10.
Worth, Andrew & Grace Patlewicz. (2016). Integrated Approaches to Testing and Assessment. Advances in experimental medicine and biology. 856. 317–342. 26 indexed citations
11.
Prieto, Pilar, et al.. (2015). Review of the Availability of In Vitro and In Silico Methods for Assessing Dermal Bioavailability. Joint Research Centre (European Commission). 1(2). 147–164. 35 indexed citations
12.
Basketter, David, Takao Ashikaga, Silvia Casati, et al.. (2015). Alternatives for skin sensitisation: Hazard identification and potency categorisation: Report from an EPAA/CEFIC LRI/Cosmetics Europe cross sector workshop, ECHA Helsinki, April 23rd and 24th 2015. Regulatory Toxicology and Pharmacology. 73(2). 660–666. 23 indexed citations
13.
Kirkland, David, Errol Zeiger, Federica Madia, et al.. (2014). Can in vitro mammalian cell genotoxicity test results be used to complement positive results in the Ames test and help predict carcinogenic or in vivo genotoxic activity? I. Reports of individual databases presented at an EURL ECVAM Workshop. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 775-776. 55–68. 50 indexed citations
14.
15.
Raevsky, Oleg A., et al.. (2011). Prediction of Acute Rodent Toxicity on the Basis of Chemical Structure and Physicochemical Similarity. Molecular Informatics. 30(2-3). 267–275. 13 indexed citations
16.
Tsakovska, Ivanka & Andrew Worth. (2009). The use of Computational Methods for the Assessment of Chemicals in REACH. SHILAP Revista de lepidopterología. 5 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.
Netzeva, Tatiana I., et al.. (2006). Review of Quantitative Structure - Activity Relationships for Acute Mammalian Toxicity. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Worth, Andrew & M Cronin. (2001). Prediction Models for Eye Irritation Potential Based on Endpoints of the HETCAM and Neutral Red Uptake Tests. PubMed. 14(3). 143–156. 9 indexed citations
20.
Gallegos, Ana, Grace Patlewicz, & Andrew Worth. (1992). Review of Literature-Based Models for Skin and Eye Irritation and Corrosion. Joint Research Centre (European Commission). 65–65. 14 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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