C. McNamara

7.9k total citations
16 papers, 661 citations indexed

About

C. McNamara is a scholar working on Dermatology, Health, Toxicology and Mutagenesis and Small Animals. According to data from OpenAlex, C. McNamara has authored 16 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Dermatology, 8 papers in Health, Toxicology and Mutagenesis and 6 papers in Small Animals. Recurrent topics in C. McNamara's work include Effects and risks of endocrine disrupting chemicals (8 papers), Contact Dermatitis and Allergies (8 papers) and Animal testing and alternatives (6 papers). C. McNamara is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (8 papers), Contact Dermatitis and Allergies (8 papers) and Animal testing and alternatives (6 papers). C. McNamara collaborates with scholars based in United Kingdom, United States and Switzerland. C. McNamara's co-authors include B. Safford, S. Tozer, W. Steiling, Barbara Hall, M. Coroama, Michael J. Gibney, Benjamin Smith, John O’Brien, Cian O’Mahony and Graham Ellis and has published in prestigious journals such as The Science of The Total Environment, Trends in Food Science & Technology and Food and Chemical Toxicology.

In The Last Decade

C. McNamara

16 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. McNamara United Kingdom 11 310 252 125 121 93 16 661
S. Tozer United Kingdom 11 297 1.0× 285 1.1× 139 1.1× 91 0.8× 68 0.7× 16 530
B. Safford United Kingdom 16 313 1.0× 585 2.3× 231 1.8× 222 1.8× 143 1.5× 18 864
Elisabet Berggren Italy 10 318 1.0× 134 0.5× 199 1.6× 51 0.4× 92 1.0× 23 688
Harrie Buist Netherlands 17 297 1.0× 127 0.5× 136 1.1× 38 0.3× 137 1.5× 31 800
Anna Lowit United States 14 221 0.7× 106 0.4× 225 1.8× 46 0.4× 150 1.6× 25 689
Alain‐Claude Roudot France 19 457 1.5× 207 0.8× 49 0.4× 57 0.5× 173 1.9× 76 1.0k
Juan-Carlos Carrillo Netherlands 11 130 0.4× 98 0.4× 57 0.5× 46 0.4× 30 0.3× 30 399
Monique Rennen Netherlands 12 261 0.8× 63 0.3× 29 0.2× 64 0.5× 52 0.6× 17 570
Matthew Dent United Kingdom 12 221 0.7× 40 0.2× 177 1.4× 28 0.2× 75 0.8× 29 575
Worth Andrew 15 183 0.6× 41 0.2× 94 0.8× 21 0.2× 65 0.7× 36 449

Countries citing papers authored by C. McNamara

Since Specialization
Citations

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

Fields of papers citing papers by C. McNamara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. McNamara

This figure shows the co-authorship network connecting the top 25 collaborators of C. McNamara. A scholar is included among the top collaborators of C. McNamara 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 C. McNamara. C. McNamara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Cancellieri, M.A., et al.. (2024). Detailed aggregate exposure analysis shows that exposure to fragrance ingredients in consumer products is low: Many orders of magnitude below thresholds of concern. Regulatory Toxicology and Pharmacology. 148. 105569–105569. 1 indexed citations
2.
Nag, Rajat, et al.. (2023). A data-driven approach for prioritising microbial and chemical hazards associated with dairy products using open-source databases. The Science of The Total Environment. 908. 168456–168456. 10 indexed citations
3.
Tozer, S., F. Audebert, John O’Brien, et al.. (2023). From worst-case to reality – Case studies illustrating tiered refinement of consumer exposure to cosmetic ingredients. Regulatory Toxicology and Pharmacology. 143. 105436–105436. 3 indexed citations
4.
McNamara, C., et al.. (2021). State of the art review of Big Data and web-based Decision Support Systems (DSS) for food safety risk assessment with respect to climate change. Trends in Food Science & Technology. 126. 192–204. 76 indexed citations
5.
Cushen, Maeve, et al.. (2020). The impact of food industry reformulation, innovation and consumer preference on dietary intakes in Ireland: a probabilistic intake model. Proceedings of The Nutrition Society. 79(OCE2). 1 indexed citations
6.
Api, A.M., C. B. Barrett, Graham Ellis, et al.. (2017). Integrating habits and practices data for soaps, cosmetics and air care products into an existing aggregate exposure model. Regulatory Toxicology and Pharmacology. 88. 144–156. 34 indexed citations
7.
Safford, B., A.M. Api, Christopher L. R. Barratt, et al.. (2017). Application of the expanded Creme RIFM consumer exposure model to fragrance ingredients in cosmetic, personal care and air care products. Regulatory Toxicology and Pharmacology. 86. 148–156. 31 indexed citations
8.
Kennedy, Marc C., et al.. (2015). Assessing and reporting uncertainties in dietary exposure analysis. Food and Chemical Toxicology. 82. 79–95. 52 indexed citations
9.
Safford, B., A.M. Api, Christopher L. R. Barratt, et al.. (2015). Use of an aggregate exposure model to estimate consumer exposure to fragrance ingredients in personal care and cosmetic products. Regulatory Toxicology and Pharmacology. 72(3). 673–682. 61 indexed citations
10.
Api, A.M., Christopher L. R. Barratt, Eoin Daly, et al.. (2015). Novel database for exposure to fragrance ingredients in cosmetics and personal care products. Regulatory Toxicology and Pharmacology. 72(3). 660–672. 66 indexed citations
11.
McNamara, C., et al.. (2014). Aggregate exposures to existing and novel fragrances in consumer products. Toxicology Letters. 229. S110–S110. 1 indexed citations
12.
McNamara, C., John Mehegan, Cian O’Mahony, et al.. (2011). Uncertainty analysis of the use of a retailer fidelity card scheme in the assessment of food additive intake. Food Additives & Contaminants Part A. 28(12). 1–9. 7 indexed citations
13.
Hall, Barbara, W. Steiling, B. Safford, et al.. (2010). European consumer exposure to cosmetic products, a framework for conducting population exposure assessments Part 2. Food and Chemical Toxicology. 49(2). 408–422. 77 indexed citations
14.
McNamara, C., Michael J. Gibney, Barbara Hall, et al.. (2007). Probabilistic modelling of European consumer exposure to cosmetic products. Food and Chemical Toxicology. 45(11). 2086–2096. 57 indexed citations
15.
Hall, Barbara, S. Tozer, B. Safford, et al.. (2007). European consumer exposure to cosmetic products, a framework for conducting population exposure assessments. Food and Chemical Toxicology. 45(11). 2097–2108. 129 indexed citations
16.
McNamara, C., et al.. (2003). Design, development and validation of software for modelling dietary exposure to food chemicals and nutrients. Food Additives & Contaminants. 20(sup001). S8–S26. 55 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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