Jon A. Arnot

7.9k total citations · 1 hit paper
106 papers, 6.2k citations indexed

About

Jon A. Arnot is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Environmental Chemistry. According to data from OpenAlex, Jon A. Arnot has authored 106 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Health, Toxicology and Mutagenesis, 30 papers in Pollution and 29 papers in Environmental Chemistry. Recurrent topics in Jon A. Arnot's work include Toxic Organic Pollutants Impact (74 papers), Environmental Toxicology and Ecotoxicology (37 papers) and Effects and risks of endocrine disrupting chemicals (36 papers). Jon A. Arnot is often cited by papers focused on Toxic Organic Pollutants Impact (74 papers), Environmental Toxicology and Ecotoxicology (37 papers) and Effects and risks of endocrine disrupting chemicals (36 papers). Jon A. Arnot collaborates with scholars based in Canada, United States and Netherlands. Jon A. Arnot's co-authors include Frank A. P. C. Gobas, Don Mackay, Frank Wania, James M. Armitage, Mark Bonnell, Gregg T. Tomy, Trevor N. Brown, Li Li, L.S. McCarty and Thomas F. Parkerton and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Jon A. Arnot

103 papers receiving 6.1k citations

Hit Papers

A review of bioconcentration factor (BCF) and bioaccumula... 2006 2026 2012 2019 2006 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon A. Arnot Canada 41 4.8k 2.3k 1.1k 437 413 106 6.2k
Karl‐Werner Schramm Germany 47 5.6k 1.2× 2.3k 1.0× 860 0.8× 354 0.8× 248 0.6× 343 8.3k
Marco Vighi Italy 46 3.2k 0.7× 2.7k 1.2× 965 0.9× 643 1.5× 393 1.0× 191 6.8k
Don Mackay Canada 39 3.9k 0.8× 2.3k 1.0× 807 0.8× 334 0.8× 192 0.5× 92 5.4k
Hongxia Yu China 57 5.9k 1.2× 2.9k 1.3× 2.0k 1.9× 765 1.8× 393 1.0× 281 10.0k
John W. Nichols United States 35 3.5k 0.7× 1.9k 0.9× 526 0.5× 457 1.0× 469 1.1× 93 5.2k
Jianjie Fu China 49 5.2k 1.1× 2.2k 1.0× 2.2k 2.1× 437 1.0× 123 0.3× 196 7.9k
Darryl W. Hawker Australia 39 3.2k 0.7× 2.3k 1.0× 859 0.8× 424 1.0× 99 0.2× 158 5.3k
Peter Haglund Sweden 43 5.6k 1.2× 3.0k 1.3× 851 0.8× 424 1.0× 82 0.2× 189 8.4k
P.E.G. Leonards Netherlands 55 7.5k 1.6× 2.6k 1.2× 1.4k 1.4× 446 1.0× 97 0.2× 233 9.9k
Timo Hamers Netherlands 39 3.6k 0.8× 1.3k 0.6× 862 0.8× 214 0.5× 112 0.3× 111 4.9k

Countries citing papers authored by Jon A. Arnot

Since Specialization
Citations

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

Fields of papers citing papers by Jon A. Arnot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon A. Arnot. 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 Jon A. Arnot. The network helps show where Jon A. Arnot may publish in the future.

Co-authorship network of co-authors of Jon A. Arnot

This figure shows the co-authorship network connecting the top 25 collaborators of Jon A. Arnot. A scholar is included among the top collaborators of Jon A. Arnot 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 Jon A. Arnot. Jon A. Arnot 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.
Brown, Trevor N., James M. Armitage, Alessandro Sangion, & Jon A. Arnot. (2024). Improved prediction of PFAS partitioning with PPLFERs and QSPRs. Environmental Science Processes & Impacts. 26(11). 1986–1998. 1 indexed citations
2.
Wania, Frank, Jon A. Arnot, & Frank A. P. C. Gobas. (2024). In Memoriam: Don Mackay. Environmental Toxicology and Chemistry. 43(6). 1189–1193.
3.
Zhang, Zhizhen, Alessandro Sangion, Todd Gouin, et al.. (2024). Chemical Space Covered by Applicability Domains of Quantitative Structure–Property Relationships and Semiempirical Relationships in Chemical Assessments. Environmental Science & Technology. 11 indexed citations
4.
Zhang, Zhizhen, et al.. (2024). Modeling sorption of environmental organic chemicals from water to soils. Water Research X. 22. 100219–100219. 5 indexed citations
5.
McLachlan, Michael S., et al.. (2023). A framework for understanding the bioconcentration of surfactants in fish. Environmental Science Processes & Impacts. 25(7). 1238–1251. 4 indexed citations
6.
Arnot, Jon A., et al.. (2022). Risk-based prioritization of organic substances in the Canadian National Pollutant Release Inventory using an evaluative regional-scale multimedia mass balance model. Integrated Environmental Assessment and Management. 18(6). 1722–1732. 6 indexed citations
7.
Arnot, Jon A., et al.. (2022). A weight of evidence approach for bioaccumulation assessment. Integrated Environmental Assessment and Management. 19(5). 1235–1253. 22 indexed citations
8.
Li, Li, et al.. (2019). Clarifying Temporal Trend Variability in Human Biomonitoring of Polybrominated Diphenyl Ethers through Mechanistic Modeling. Environmental Science & Technology. 54(1). 166–175. 25 indexed citations
9.
Ring, Caroline, Jon A. Arnot, Deborah H. Bennett, et al.. (2018). Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways. Environmental Science & Technology. 53(2). 719–732. 94 indexed citations
10.
Papa, Ester, Alessandro Sangion, Jon A. Arnot, & Paola Gramatica. (2017). Development of human biotransformation QSARs and application for PBT assessment refinement. Food and Chemical Toxicology. 112. 535–543. 30 indexed citations
11.
Arnot, Jon A., et al.. (2017). A weight-of-evidence approach for the bioaccumulation assessment of triclosan in aquatic species. The Science of The Total Environment. 618. 1506–1518. 24 indexed citations
12.
Kim, Jaeshin, et al.. (2016). Evaluating the roles of biotransformation, spatial concentration differences, organism home range, and field sampling design on trophic magnification factors. The Science of The Total Environment. 551-552. 438–451. 47 indexed citations
13.
Shin, Hyeong‐Moo, Alexi Ernstoff, Jon A. Arnot, et al.. (2015). Risk-Based High-Throughput Chemical Screening and Prioritization using Exposure Models and in Vitro Bioactivity Assays. Environmental Science & Technology. 49(11). 6760–6771. 57 indexed citations
14.
Armitage, James M., Frank Wania, & Jon A. Arnot. (2014). Application of Mass Balance Models and the Chemical Activity Concept To Facilitate the Use of in Vitro Toxicity Data for Risk Assessment. Environmental Science & Technology. 48(16). 9770–9779. 138 indexed citations
15.
Mackay, Don, Jon A. Arnot, Frank A. P. C. Gobas, & David E. Powell. (2013). Mathematical relationships between metrics of chemical bioaccumulation in fish. Environmental Toxicology and Chemistry. 32(7). 1459–1466. 54 indexed citations
16.
Mitchell, Jade, Jon A. Arnot, Olivier Jolliet, et al.. (2013). Comparison of modeling approaches to prioritize chemicals based on estimates of exposure and exposure potential. The Science of The Total Environment. 458-460. 555–567. 34 indexed citations
17.
Mackay, D., Jon A. Arnot, Elisaveta P. Petkova, et al.. (2009). The physicochemical basis of QSARs for baseline toxicity. SAR and QSAR in environmental research. 20(3-4). 393–414. 62 indexed citations
18.
Parkerton, Thomas F., Jon A. Arnot, Anne V. Weisbrod, et al.. (2007). Guidance for Evaluating In Vivo Fish Bioaccumulation Data. Integrated Environmental Assessment and Management. 4(2). 1–1.
19.
Arnot, Jon A. & Frank A. P. C. Gobas. (2006). A review of bioconcentration factor (BCF) and bioaccumulation factor (BAF) assessments for organic chemicals in aquatic organisms. Environmental Reviews. 14(4). 257–297. 1098 indexed citations breakdown →
20.
Arnot, Jon A. & Frank A. P. C. Gobas. (2003). A Generic QSAR for Assessing the Bioaccumulation Potential of Organic Chemicals in Aquatic Food Webs. QSAR & Combinatorial Science. 22(3). 337–345. 184 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026