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Computational Toxicology Template

Write in a clean editor, then format for Computational Toxicology in one click — DocuGuru applies the official Elsevier template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

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About the Computational Toxicology format

Computational Toxicology is a peer-reviewed journal published by Elsevier, covering Computational Drug Discovery Methods, Animal testing and alternatives, Effects and risks of endocrine disrupting chemicals.

PublisherElsevier
Reference styleNumbered (Elsevier)
Numbered — [1], [2] in the text
[1] A. Smith, B. Jones, C. Lee, A representative article title, Computational Toxicology 12 (2023) 45–58.

Formats any DOI in Computational Toxicology style. No sign-up.

Publishes research inComputational Drug Discovery Methods Animal testing and alternatives Effects and risks of endocrine disrupting chemicals Carcinogens and Genotoxicity Assessment Chemistry and Chemical Engineering
ISSN2468-1113
Citation impact (2-yr)2.98
h-index40
i10-index179
Total citations6,219
Article processing charge$3,460
Top institutions publishing hereEnvironmental Protection Agency
Journal websitewww.journals.elsevier.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Computational Toxicology per year

31
2006
18
2013
3
2016
33
2017
57
2018
47
2019
34
2020
56
2021
44
2022
37
2023
40
2024
58
2025

Citation impact of Computational Toxicology by publication year

124
2006
19
2013
140
2016
617
2017
1.2K
2018
909
2019
535
2020
1.2K
2021
687
2022
339
2023
256
2024
110
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Computational Toxicology

EPA’s DSSTox database: History of development of a curated chemistry resource supporting computational toxicology research

Chris Grulke, Antony Williams, Inthirany Thillanadarajah et al. · 29 Jun 2019

The US Environmental Protection Agency’s (EPA) Distributed Structure-Searchable Toxicity (DSSTox) database, launched publicly in 2004, currently exceeds 875 K substances spanning hundreds of lists of interest to EPA and environmental researchers. From its inception, DSSTox has focused curation efforts on resolving chemical identifier errors and conflicts in the public domain towards the goal of assigning…

190 citations Cite SaveGo to paper →
Principles underpinning the use of new methodologies in the risk assessment of cosmetic ingredients

Matthew Dent, Renata Teixeira Amaral, Pedro Amores Da Silva et al. · 20 Jun 2018

Consumer safety is a prerequisite for any cosmetic product. Worldwide, there is an ever-increasing desire to bring safe products to market without animal testing, which requires a new approach to consumer safety. ‘Next Generation Risk Assessment’ (NGRA), defined as an exposure-led, hypothesis driven risk assessment approach that integrates in silico, in chemico and in vitro…

173 citations Cite SaveGo to paper →
Next generation physiologically based kinetic (NG-PBK) models in support of regulatory decision making

Alicia Paini, Jeremy A. Leonard, Elisabeth Joossens et al. · 9 Nov 2018

The fields of toxicology and chemical risk assessment seek to reduce, and eventually replace, the use of animals for the prediction of toxicity in humans. In this context, physiologically based kinetic (PBK) modelling based on in vitro and in silico kinetic data has the potential to a play significant role in reducing animal testing, by…

145 citations Cite SaveGo to paper →

Computational Toxicology template — frequently asked questions

How do I write a paper in the Computational Toxicology format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Computational Toxicology template. When you export, DocuGuru compiles the paper into the official Elsevier format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Computational Toxicology use?
Computational Toxicology uses Numbered (Elsevier) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: [1] A. Smith, B. Jones, C. Lee, A representative article title, Computational Toxicology 12 (2023) 45–58.
Do I need to know LaTeX to submit to Computational Toxicology?
No. DocuGuru generates the elsarticle LaTeX class and compiles the PDF for you in the background, so you get a Elsevier-ready Computational Toxicology document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Computational Toxicology template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Computational Toxicology format with correct headings, figures, tables, and numbered citations.
Who publishes Computational Toxicology?
Computational Toxicology is a multidisciplinary journal published by Elsevier. DocuGuru's Computational Toxicology template matches Elsevier's official submission format.
Can I export a submission-ready Computational Toxicology PDF?
Yes — DocuGuru produces a PDF built with the official Computational Toxicology template (the elsarticle class) that is ready to submit to Elsevier, together with the matching LaTeX source files.
How much does the Computational Toxicology template cost?
You can start writing in the Computational Toxicology template for free. Exporting the final submission-ready Computational Toxicology PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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