Don Mackay

6.7k total citations · 1 hit paper
92 papers, 5.4k citations indexed

About

Don Mackay is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Environmental Chemistry. According to data from OpenAlex, Don Mackay has authored 92 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Health, Toxicology and Mutagenesis, 31 papers in Pollution and 14 papers in Environmental Chemistry. Recurrent topics in Don Mackay's work include Toxic Organic Pollutants Impact (57 papers), Environmental Toxicology and Ecotoxicology (22 papers) and Effects and risks of endocrine disrupting chemicals (11 papers). Don Mackay is often cited by papers focused on Toxic Organic Pollutants Impact (57 papers), Environmental Toxicology and Ecotoxicology (22 papers) and Effects and risks of endocrine disrupting chemicals (11 papers). Don Mackay collaborates with scholars based in Canada, United States and United Kingdom. Don Mackay's co-authors include Alison J. Fraser, Jon A. Arnot, Tom Harner, Matthew MacLeod, Eva Webster, Frank Wania, L.S. McCarty, Mark Bonnell, Todd Gouin and Terry F. Bidleman and has published in prestigious journals such as Environmental Science & Technology, Environmental Pollution and Chemosphere.

In The Last Decade

Don Mackay

91 papers receiving 5.1k citations

Hit Papers

Bioaccumulation of persistent organic chemicals: mechanis... 2000 2026 2008 2017 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Don Mackay Canada 39 3.9k 2.3k 807 558 334 92 5.4k
Darryl W. Hawker Australia 39 3.2k 0.8× 2.3k 1.0× 859 1.1× 550 1.0× 424 1.3× 158 5.3k
Peter Haglund Sweden 43 5.6k 1.4× 3.0k 1.3× 851 1.1× 561 1.0× 424 1.3× 189 8.4k
Kees Booij Netherlands 35 3.0k 0.8× 1.8k 0.8× 629 0.8× 337 0.6× 208 0.6× 81 4.3k
Ed Sverko Canada 45 4.8k 1.2× 2.1k 0.9× 920 1.1× 1.2k 2.1× 320 1.0× 87 6.1k
Marco Vighi Italy 46 3.2k 0.8× 2.7k 1.2× 965 1.2× 459 0.8× 643 1.9× 191 6.8k
Antonio Di Guardo Italy 33 2.2k 0.6× 1.5k 0.7× 436 0.5× 559 1.0× 270 0.8× 108 3.4k
Jon A. Arnot Canada 41 4.8k 1.2× 2.3k 1.0× 1.1k 1.3× 400 0.7× 437 1.3× 106 6.2k
Chris Marvin Canada 47 4.7k 1.2× 2.2k 0.9× 1.2k 1.5× 981 1.8× 461 1.4× 136 6.3k
Wan Ying Shiu Canada 30 2.9k 0.7× 1.6k 0.7× 463 0.6× 507 0.9× 219 0.7× 46 5.5k
Shigeki Masunaga Japan 52 4.9k 1.3× 3.0k 1.3× 1.4k 1.7× 1.2k 2.2× 273 0.8× 199 6.9k

Countries citing papers authored by Don Mackay

Since Specialization
Citations

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

Fields of papers citing papers by Don Mackay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Don Mackay

This figure shows the co-authorship network connecting the top 25 collaborators of Don Mackay. A scholar is included among the top collaborators of Don Mackay 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 Don Mackay. Don Mackay 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.
Giesy, John P., Keith R. Solomon, G. Christopher Cutler, et al.. (2014). Ecological Risk Assessment of the Uses of the Organophosphorus Insecticide Chlorpyrifos, in the United States. Reviews of Environmental Contamination and Toxicology. 231. 1–11. 37 indexed citations
2.
Mackay, Don, John P. Giesy, & Keith R. Solomon. (2014). Fate in the Environment and Long-Range Atmospheric Transport of the Organophosphorus Insecticide, Chlorpyrifos and Its Oxon. Reviews of Environmental Contamination and Toxicology. 231. 35–76. 71 indexed citations
3.
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
7.
Warren, Christopher, Don Mackay, M. J. Whelan, & K Fox. (2007). Mass balance modelling of contaminants in river basins: Application of the flexible matrix approach. Chemosphere. 68(7). 1232–1244. 16 indexed citations
8.
Warren, Christopher, Don Mackay, M. J. Whelan, & K Fox. (2005). Mass balance modelling of contaminants in river basins: A flexible matrix approach. Chemosphere. 61(10). 1458–1467. 24 indexed citations
9.
MacLeod, Matthew, et al.. (2004). Dependence of Intake Fraction on Release Location in a Multimedia Framework. Journal of Industrial Ecology. 8(3). 89–102. 21 indexed citations
10.
Gouin, Todd, Ian T. Cousins, & Don Mackay. (2004). Comparison of two methods for obtaining degradation half-lives. Chemosphere. 56(6). 531–535. 46 indexed citations
11.
Mackay, Don, et al.. (2003). Quantifying the fate of mercury in the Great Lakes Basin: toward an ecosystem approach. Environmental Research. 95(3). 298–304. 10 indexed citations
12.
Macdonald, Robie W., Don Mackay, & Brendan E. Hickie. (2002). Peer Reviewed: Contaminant Amplification in the Environment. Environmental Science & Technology. 36(23). 456A–462A. 112 indexed citations
13.
MacLeod, Matthew, Alison J. Fraser, & Don Mackay. (2002). Evaluating and expressing the propagation of uncertainty in chemical fate and bioaccumulation models. Environmental Toxicology and Chemistry. 21(4). 700–709. 193 indexed citations
14.
Fraser, Alison J., Ivan C. Burkow, Hans Wolkers, & Don Mackay. (2002). Modeling biomagnification and metabolism of contaminants in harp seals of the Barents Sea. Environmental Toxicology and Chemistry. 21(1). 55–61. 35 indexed citations
15.
Harner, Tom, Terry F. Bidleman, Liisa M. Jantunen, & Don Mackay. (2001). SOIL–AIR EXCHANGE MODEL OF PERSISTENT PESTICIDES IN THE UNITED STATES COTTON BELT. Environmental Toxicology and Chemistry. 20(7). 1612–1612. 179 indexed citations
16.
Andrén, Anders, Don Mackay, Joseph V. DePinto, et al.. (2000). Inter-media partitioning and transport. DORA Eawag (Swiss Federal Institute of Aquatic Science and Technology (Eawag)). 2 indexed citations
17.
Mackay, Don & Alison J. Fraser. (2000). Bioaccumulation of persistent organic chemicals: mechanisms and models. Environmental Pollution. 110(3). 375–391. 602 indexed citations breakdown →
18.
MacLeod, Matthew & Don Mackay. (1999). An assessment of the environmental fate and exposure of benzene and the chlorobenzenes in Canada. Chemosphere. 38(8). 1777–1796. 57 indexed citations
19.
McCarty, L.S., Don Mackay, A. David Smith, G. W. Ozburn, & D. George Dixon. (1993). Residue-Based Interpretation of Toxicity and Bioconcentration QSARs from Aquatic Bioassays: Polar Narcotic Organics. Ecotoxicology and Environmental Safety. 25(3). 253–270. 59 indexed citations
20.
Mackay, Don, et al.. (1990). A note on the inverse function of the von Bertalanffy growth function. RePEc: Research Papers in Economics. 8(1). 28–31. 7 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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