Paul Hanlon

1.2k total citations
30 papers, 949 citations indexed

About

Paul Hanlon is a scholar working on Molecular Biology, Plant Science and Physiology. According to data from OpenAlex, Paul Hanlon has authored 30 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Plant Science and 6 papers in Physiology. Recurrent topics in Paul Hanlon's work include Genomics, phytochemicals, and oxidative stress (8 papers), Adipose Tissue and Metabolism (6 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). Paul Hanlon is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (8 papers), Adipose Tissue and Metabolism (6 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). Paul Hanlon collaborates with scholars based in United States, United Kingdom and China. Paul Hanlon's co-authors include David M. Barnes, Elizabeth Murphy, Gary L. Wright, Murat O. Arcasoy, Charles Steenbergen, Colin R. Jefcoate, Khalid Amin, Vincent Sewalt, D. M. Webber and Ping Fu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and The FASEB Journal.

In The Last Decade

Paul Hanlon

30 papers receiving 925 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Hanlon United States 17 405 214 127 111 103 30 949
Bogusław Czerny Poland 16 328 0.8× 72 0.3× 132 1.0× 75 0.7× 75 0.7× 110 1.1k
Takeaki Nagamine Japan 23 218 0.5× 179 0.8× 81 0.6× 26 0.2× 59 0.6× 78 1.6k
Halina Małgorzata Żbikowska Poland 19 299 0.7× 99 0.5× 141 1.1× 246 2.2× 66 0.6× 42 1.1k
Nishi Karunasinghe New Zealand 19 326 0.8× 35 0.2× 121 1.0× 107 1.0× 74 0.7× 39 1.2k
A Yeong Lee South Korea 21 659 1.6× 225 1.1× 374 2.9× 98 0.9× 61 0.6× 77 1.6k
Shafeeque Ahmad India 18 180 0.4× 119 0.6× 60 0.5× 51 0.5× 49 0.5× 28 806
Lynn P. Pirie United Kingdom 13 408 1.0× 55 0.3× 80 0.6× 246 2.2× 52 0.5× 16 1.1k
Silvia Miret Netherlands 13 268 0.7× 1.2k 5.5× 135 1.1× 63 0.6× 54 0.5× 16 1.8k
Hrvoje Jakovac Croatia 15 269 0.7× 32 0.1× 129 1.0× 77 0.7× 108 1.0× 47 1.1k
Nadina Stadler Germany 12 260 0.6× 82 0.4× 41 0.3× 78 0.7× 24 0.2× 16 768

Countries citing papers authored by Paul Hanlon

Since Specialization
Citations

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

Fields of papers citing papers by Paul Hanlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Hanlon

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Hanlon. A scholar is included among the top collaborators of Paul Hanlon 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 Paul Hanlon. Paul Hanlon 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.
Eapen, Alex K., Paul Hanlon, Jason J. Hlywka, et al.. (2025). A tool to support food substance safety evaluations in the United States. Regulatory Toxicology and Pharmacology. 161. 105838–105838. 1 indexed citations
2.
Buck, Neil, et al.. (2024). Retrospective analysis of carcinogenicity assessments within FDA-notified GRAS determinations. Human & Experimental Toxicology. 43. 3540272578–3540272578. 2 indexed citations
3.
Llewellyn, G. Craig, et al.. (2021). An evolution of risk assessment for potential carcinogens in food: Scientific session proceedings. Regulatory Toxicology and Pharmacology. 126. 105047–105047. 2 indexed citations
4.
Rietjens, Ivonne M.C.M., Pierre Dussort, Helmut Günther, et al.. (2018). Exposure assessment of process-related contaminants in food by biomarker monitoring. Archives of Toxicology. 92(1). 15–40. 46 indexed citations
5.
Hanlon, Paul, et al.. (2017). GRAS from the ground up: Review of the Interim Pilot Program for GRAS notification. Food and Chemical Toxicology. 105. 140–150. 20 indexed citations
6.
Hanlon, Paul, et al.. (2014). Automated quantification with BRASS reduces equivocal reporting of DaTSCAN (123I-FP-CIT) SPECT studies. Nuclear Medicine Review. 17(2). 65–69. 14 indexed citations
7.
Hanlon, Paul & Bjorn A. Thorsrud. (2014). A 3-week pre-clinical study of 2′-fucosyllactose in farm piglets. Food and Chemical Toxicology. 74. 343–348. 17 indexed citations
9.
Hanlon, Paul & David M. Barnes. (2011). Phytochemical Composition and Biological Activity of 8 Varieties of Radish ( Raphanus sativus L.) Sprouts and Mature Taproots. Journal of Food Science. 76(1). C185–92. 110 indexed citations
10.
Andersen, Gaby, et al.. (2011). Heat Treatment of Brussels Sprouts Retains Their Ability to Induce Detoxification Enzyme Expression  In Vitro  and  In Vivo. Journal of Food Science. 76(3). C454–61. 6 indexed citations
11.
Eshelman, Bruce D., et al.. (2011). Raphasatin Is a More Potent Inducer of the Detoxification Enzymes Than Its Degradation Products. Journal of Food Science. 76(3). C504–11. 36 indexed citations
12.
Somoza, Veronika, et al.. (2010). Induction of Detoxification Enzymes by Feeding Unblanched Brussels Sprouts Containing Active Myrosinase to Mice for 2 Wk. Journal of Food Science. 75(6). H190–9. 8 indexed citations
13.
Hanlon, Paul, et al.. (2009). Aqueous extracts from dietary supplements influence the production of inflammatory cytokines in immortalized and primary T lymphocytes. BMC Complementary and Alternative Medicine. 9(1). 51–51. 2 indexed citations
14.
Hanlon, Paul, D. M. Webber, & David M. Barnes. (2007). Aqueous Extract from Spanish Black Radish (Raphanus sativus L. Var. niger) Induces Detoxification Enzymes in the HepG2 Human Hepatoma Cell Line. Journal of Agricultural and Food Chemistry. 55(16). 6439–6446. 69 indexed citations
15.
Hanlon, Paul, et al.. (2005). Microarray analysis of early adipogenesis in C3H10T1/2 cells: Cooperative inhibitory effects of growth factors and 2,3,7,8-tetrachlorodibenzo-p-dioxin. Toxicology and Applied Pharmacology. 207(1). 39–58. 26 indexed citations
16.
Howden, Reuben, Paul Hanlon, John G. Petranka, et al.. (2005). Ephedrine plus caffeine causes age-dependent cardiovascular responses in Fischer 344 rats. American Journal of Physiology-Heart and Circulatory Physiology. 288(5). H2219–H2224. 16 indexed citations
17.
Zheng, Wenchao, et al.. (2005). Differentiation of pluripotent C3H10T1/2 cells rapidly elevates CYP1B1 through a novel process that overcomes a loss of Ah Receptor. Archives of Biochemistry and Biophysics. 439(2). 139–153. 36 indexed citations
18.
Hanlon, Paul, Wenxin Zheng, Amy T. Ko, & Colin R. Jefcoate. (2004). Identification of novel TCDD-regulated genes by microarray analysis. Toxicology and Applied Pharmacology. 202(3). 215–228. 45 indexed citations
19.
Hanlon, Paul, et al.. (2004). TCDD administration after the pro-adipogenic differentiation stimulus inhibits PPARγ through a MEK-dependent process but less effectively suppresses adipogenesis. Toxicology and Applied Pharmacology. 196(1). 156–168. 32 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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