Cameron MacKay

826 total citations
23 papers, 592 citations indexed

About

Cameron MacKay is a scholar working on Dermatology, Small Animals and Immunology and Allergy. According to data from OpenAlex, Cameron MacKay has authored 23 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Dermatology, 6 papers in Small Animals and 4 papers in Immunology and Allergy. Recurrent topics in Cameron MacKay's work include Contact Dermatitis and Allergies (11 papers), Animal testing and alternatives (6 papers) and Allergic Rhinitis and Sensitization (4 papers). Cameron MacKay is often cited by papers focused on Contact Dermatitis and Allergies (11 papers), Animal testing and alternatives (6 papers) and Allergic Rhinitis and Sensitization (4 papers). Cameron MacKay collaborates with scholars based in United Kingdom, Canada and United States. Cameron MacKay's co-authors include Gavin Maxwell, Brigitte Landesmann, Edward J. Perkins, Ruth Pendlington, Roman Ashauer, Nathan Pollesch, Lyle D. Burgoon, Stefan Scholz, Rory B. Conolly and Cheryl A. Murphy and has published in prestigious journals such as International Journal of Molecular Sciences, Toxicological Sciences and Environmental Toxicology and Chemistry.

In The Last Decade

Cameron MacKay

23 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cameron MacKay United Kingdom 12 152 142 141 140 92 23 592
Chanita Kuseva Bulgaria 14 151 1.0× 118 0.8× 164 1.2× 262 1.9× 79 0.9× 20 582
Anna Lowit United States 14 221 1.5× 106 0.7× 225 1.6× 102 0.7× 98 1.1× 25 689
Joop de Knecht Netherlands 6 213 1.4× 74 0.5× 136 1.0× 147 1.1× 105 1.1× 16 598
Elisabet Berggren Italy 10 318 2.1× 134 0.9× 199 1.4× 116 0.8× 75 0.8× 23 688
Nicholas Ball United States 15 209 1.4× 125 0.9× 256 1.8× 233 1.7× 116 1.3× 34 708
Marco Corvaro United States 15 185 1.2× 42 0.3× 186 1.3× 65 0.5× 208 2.3× 36 689
Qingda Zang United States 9 50 0.3× 132 0.9× 86 0.6× 154 1.1× 95 1.0× 12 451
Betty C. Hakkert Netherlands 14 225 1.5× 32 0.2× 112 0.8× 27 0.2× 73 0.8× 18 481
Robert A. Scala United States 14 219 1.4× 66 0.5× 257 1.8× 33 0.2× 93 1.0× 31 731
Sean C. Gehen United States 14 108 0.7× 43 0.3× 145 1.0× 46 0.3× 163 1.8× 26 537

Countries citing papers authored by Cameron MacKay

Since Specialization
Citations

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

Fields of papers citing papers by Cameron MacKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cameron MacKay

This figure shows the co-authorship network connecting the top 25 collaborators of Cameron MacKay. A scholar is included among the top collaborators of Cameron 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 Cameron MacKay. Cameron 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.
MacKay, Cameron, et al.. (2024). Macrophages in vascular disease: Roles of mitochondria and metabolic mechanisms. Vascular Pharmacology. 156. 107419–107419. 3 indexed citations
2.
3.
MacKay, Cameron, et al.. (2023). The Association between COVID-19 and Changes in Opioid Prescribing Patterns and Opioid-Related Overdoses: A Retrospective Cohort Study. Canadian Journal of Pain. 7(1). 2176297–2176297. 1 indexed citations
4.
MacKay, Cameron, Anshul S. Jadli, Paul W.M. Fedak, & Vaibhav B. Patel. (2022). Adventitial Fibroblasts in Aortic Aneurysm: Unraveling Pathogenic Contributions to Vascular Disease. Diagnostics. 12(4). 871–871. 23 indexed citations
5.
Jadli, Anshul S., Cameron MacKay, Darrell D. Belke, et al.. (2022). Attenuation of Smooth Muscle Cell Phenotypic Switching by Angiotensin 1-7 Protects against Thoracic Aortic Aneurysm. International Journal of Molecular Sciences. 23(24). 15566–15566. 7 indexed citations
6.
Benedicto, Antonio, et al.. (2021). Structural Controls of Uranium Mineralization in the Basement of the Athabasca Basin, Saskatchewan, Canada. Geofluids. 2021. 1–30. 6 indexed citations
7.
8.
Reynolds, Joe, et al.. (2018). Probabilistic prediction of human skin sensitiser potency for use in next generation risk assessment. Computational Toxicology. 9. 36–49. 23 indexed citations
9.
Wittwehr, Clemens, Hristo Aladjov, Gerald T. Ankley, et al.. (2016). How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology. Toxicological Sciences. 155(2). 326–336. 119 indexed citations
10.
Maxwell, Gavin, Cameron MacKay, Richard Cubberley, et al.. (2013). Applying the skin sensitisation adverse outcome pathway (AOP) to quantitative risk assessment. Toxicology in Vitro. 28(1). 8–12. 54 indexed citations
11.
MacKay, Cameron. (2013). From pathways to people: applying the adverse outcome pathway (AOP) for skin sensitization to risk assessment. ALTEX. 30(4). 473–486. 79 indexed citations
12.
MacKay, Cameron, et al.. (2011). Measuring the Penetration of a Skin Sensitizer and Its Delivery Vehicles Simultaneously with Confocal Raman Spectroscopy. Skin Pharmacology and Physiology. 24(5). 274–283. 24 indexed citations
13.
Davies, Michael J., Ruth Pendlington, Clive Roper, et al.. (2010). Determining Epidermal Disposition Kinetics for Use in an Integrated Nonanimal Approach to Skin Sensitization Risk Assessment. Toxicological Sciences. 119(2). 308–318. 18 indexed citations
14.
Carmichael, Paul L., Michael J. Davies, Julia H. Fentem, et al.. (2009). Non-Animal Approaches for Consumer Safety Risk Assessments: Unilever's Scientific Research Programme. Alternatives to Laboratory Animals. 37(6). 595–610. 9 indexed citations
15.
Pendlington, Ruth, et al.. (2008). Development of a ModifiedIn vitroSkin Absorption Method to Study the Epidermal/Dermal Disposition of a Contact Allergen in Human Skin. Cutaneous and Ocular Toxicology. 27(4). 283–294. 19 indexed citations
16.
Maxwell, Gavin, Maja Aleksić, Aynur O. Aptula, et al.. (2008). Assuring Consumer Safety without Animal Testing: A Feasibility Case Study for Skin Sensitisation. Alternatives to Laboratory Animals. 36(5). 557–568. 21 indexed citations
17.
Maxwell, Gavin & Cameron MacKay. (2008). Application of a Systems Biology Approach to Skin Allergy Risk Assessment. Alternatives to Laboratory Animals. 36(5). 521–556. 26 indexed citations
18.
Pendlington, Ruth, et al.. (2007). Further development of an in vitro skin absorption method to measure compartmental disposition and kinetics for chemicals in skin. Toxicology Letters. 172. S106–S106. 2 indexed citations
19.
MacKay, Cameron, et al.. (2007). In silico modelling of skin sensitisation. Toxicology. 231(2-3). 103–103. 2 indexed citations
20.
MacKay, Cameron, et al.. (1976). Proceedings: The effect of sodium cholate and heparin on gallstone dissolution in vitro.. PubMed. 63(2). 154–154. 3 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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