Greg Paoli

1.1k total citations
21 papers, 734 citations indexed

About

Greg Paoli is a scholar working on Food Science, Health, Toxicology and Mutagenesis and Biotechnology. According to data from OpenAlex, Greg Paoli has authored 21 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Food Science, 8 papers in Health, Toxicology and Mutagenesis and 5 papers in Biotechnology. Recurrent topics in Greg Paoli's work include Food Safety and Hygiene (8 papers), Effects and risks of endocrine disrupting chemicals (6 papers) and Listeria monocytogenes in Food Safety (5 papers). Greg Paoli is often cited by papers focused on Food Safety and Hygiene (8 papers), Effects and risks of endocrine disrupting chemicals (6 papers) and Listeria monocytogenes in Food Safety (5 papers). Greg Paoli collaborates with scholars based in Canada, United States and Australia. Greg Paoli's co-authors include Anna M. Lammerding, Daniel W. Stashuk, T Ross, Weihsueh A. Chiu, Ewen C.D. Todd, Christopher J. Griffith, Barry Michaels, Aamir Fazil, John Sumner and Joseph A. Cotruvo and has published in prestigious journals such as Environmental Health Perspectives, Critical Reviews in Food Science and Nutrition and International Journal of Food Microbiology.

In The Last Decade

Greg Paoli

19 papers receiving 688 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg Paoli Canada 14 370 199 157 99 62 21 734
Simone Aquino Brazil 12 129 0.3× 56 0.3× 26 0.2× 34 0.3× 14 0.2× 48 422
Yuqin Zhang China 14 74 0.2× 35 0.2× 167 1.1× 177 1.8× 106 1.7× 61 695
Angela Davies United Kingdom 13 183 0.5× 80 0.4× 10 0.1× 69 0.7× 37 0.6× 29 579
Ijaz Ahmad China 15 118 0.3× 19 0.1× 67 0.4× 37 0.4× 58 0.9× 40 688
Yhan S. Mutz Brazil 16 277 0.7× 196 1.0× 44 0.3× 44 0.4× 145 2.3× 49 797
Vipin Gupta India 17 67 0.2× 20 0.1× 55 0.4× 104 1.1× 32 0.5× 54 729
Sanja Ilić United States 14 197 0.5× 109 0.5× 16 0.1× 89 0.9× 8 0.1× 42 676
Young‐Zoo Chae South Korea 11 132 0.4× 25 0.1× 63 0.4× 52 0.5× 30 0.5× 48 506
Solimar Gonçalves Machado Brazil 14 245 0.7× 125 0.6× 36 0.2× 105 1.1× 30 0.5× 43 743
Alberto Garre Spain 16 363 1.0× 365 1.8× 31 0.2× 24 0.2× 60 1.0× 63 793

Countries citing papers authored by Greg Paoli

Since Specialization
Citations

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

Fields of papers citing papers by Greg Paoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Paoli

This figure shows the co-authorship network connecting the top 25 collaborators of Greg Paoli. A scholar is included among the top collaborators of Greg Paoli 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 Greg Paoli. Greg Paoli 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.
Paoli, Greg, Emma Hartnett, & Paul S. Price. (2025). Use of probabilistic exposure models in the assessment of dietary exposure to chemicals. Food Additives & Contaminants Part A. 42(7). 819–848.
2.
Paoli, Greg, Paul S. Price, Maureen R. Gwinn, et al.. (2022). A value of information framework for assessing the trade‐offs associated with uncertainty, duration, and cost of chemical toxicity testing. Risk Analysis. 43(3). 498–515. 12 indexed citations
3.
Chiu, Weihsueh A. & Greg Paoli. (2020). Recent Advances in Probabilistic Dose–Response Assessment to Inform Risk‐Based Decision Making. Risk Analysis. 41(4). 596–609. 13 indexed citations
4.
Chiu, Weihsueh A., et al.. (2018). Beyond the RfD: Broad Application of a Probabilistic Approach to Improve Chemical Dose–Response Assessments for Noncancer Effects. Environmental Health Perspectives. 126(6). 67009–67009. 55 indexed citations
5.
Anderson, Warwick, Darrell W. Donahue, Sebastian Hielm, et al.. (2016). Statistical aspects of a microbiological criteria related to foods : A risk managers guide. Data Archiving and Networked Services (DANS). 11 indexed citations
6.
Rhomberg, Lorenz R., Julie E. Goodman, Lisa A. Bailey, et al.. (2013). A survey of frameworks for best practices in weight-of-evidence analyses. Critical Reviews in Toxicology. 43(9). 753–784. 75 indexed citations
7.
Chen, Yuhuan, Sherri Dennis, Emma Hartnett, et al.. (2013). FDA-iRISK—A Comparative Risk Assessment System for Evaluating and Ranking Food-Hazard Pairs: Case Studies on Microbial Hazards. Journal of Food Protection. 76(3). 376–385. 54 indexed citations
8.
Canady, Richard, Richard Lane, Greg Paoli, et al.. (2013). Determining the Applicability of Threshold of Toxicological Concern Approaches to Substances Found in Foods. Critical Reviews in Food Science and Nutrition. 53(12). 1239–1249. 11 indexed citations
9.
Habash, Riadh, Voicu Groza, Dan Krewski, & Greg Paoli. (2013). A risk assessment framework for the smart grid. 1–6. 17 indexed citations
10.
Hrudey, Steve E., Richard J. Bull, Joseph A. Cotruvo, Greg Paoli, & Margaret D. Wilson. (2013). Drinking Water as a Proportion of Total Human Exposure to Volatile N‐Nitrosamines. Risk Analysis. 33(12). 2179–2208. 45 indexed citations
11.
Shatkin, Jo Anne, Richard Canady, Tee L. Guidotti, et al.. (2010). Nano Risk Analysis: Advancing the Science for Nanomaterials Risk Management. Risk Analysis. 30(11). 1680–1687. 17 indexed citations
12.
Ross, T, et al.. (2009). Quantitative risk assessment of Listeria monocytogenes in ready-to-eat meats in Australia. International Journal of Food Microbiology. 131(2-3). 128–137. 62 indexed citations
13.
Newsome, Rosetta, Nga L. Tran, Greg Paoli, et al.. (2009). Development of a Risk‐Ranking Framework to Evaluate Potential High‐Threat Microorganisms, Toxins, and Chemicals in Food. Journal of Food Science. 74(2). R39–45. 25 indexed citations
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Stern, Norman J., Kelli L. Hiett, Guðni Á. Alfreðsson, et al.. (2003). Campylobacter spp. in Icelandic poultry operations and human disease. Epidemiology and Infection. 130(1). 23–32. 118 indexed citations
17.
Fazil, Aamir, T Ross, Greg Paoli, et al.. (2002). A probabilistic analysis of Clostridium perfringens growth during food service operations. International Journal of Food Microbiology. 73(2-3). 315–329. 14 indexed citations
18.
Stashuk, Daniel W. & Greg Paoli. (1998). Robust supervised classification of motor unit action potentials. Medical & Biological Engineering & Computing. 36(1). 75–82. 38 indexed citations
19.
Paoli, Greg, et al.. (1998). Simulation Modeling for Microbial Risk Assessment. Journal of Food Protection. 61(11). 1560–1566. 55 indexed citations
20.
Paoli, Greg, et al.. (1996). A Comment on “Hazard Assessment of Listeria monocytogenes in the Processing of Bovine Milk,” J. Food Prot. 57:689-697 (1994). Journal of Food Protection. 59(4). 341–343. 8 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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