Alison Eldridge

601 total citations
18 papers, 472 citations indexed

About

Alison Eldridge is a scholar working on Physiology, Health, Toxicology and Mutagenesis and Cancer Research. According to data from OpenAlex, Alison Eldridge has authored 18 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 11 papers in Health, Toxicology and Mutagenesis and 6 papers in Cancer Research. Recurrent topics in Alison Eldridge's work include Smoking Behavior and Cessation (16 papers), Air Quality and Health Impacts (8 papers) and Carcinogens and Genotoxicity Assessment (6 papers). Alison Eldridge is often cited by papers focused on Smoking Behavior and Cessation (16 papers), Air Quality and Health Impacts (8 papers) and Carcinogens and Genotoxicity Assessment (6 papers). Alison Eldridge collaborates with scholars based in United Kingdom, United States and Germany. Alison Eldridge's co-authors include Kevin McAdam, Michael McEwan, Graham Errington, Ian M. Fearon, Christopher Proctor, Oscar M. Camacho, Michael Dixon, Nathan Gale, Derek C. Mariner and James J. Murphy and has published in prestigious journals such as BMC Public Health, Nicotine & Tobacco Research and Clinical Chemistry and Laboratory Medicine (CCLM).

In The Last Decade

Alison Eldridge

18 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alison Eldridge United Kingdom 13 312 175 92 85 67 18 472
Yang Xia United States 12 251 0.8× 239 1.4× 91 1.0× 76 0.9× 67 1.0× 18 544
Jens Schubert Germany 12 263 0.8× 211 1.2× 64 0.7× 120 1.4× 36 0.5× 16 658
Michael S. Werley United States 11 241 0.8× 190 1.1× 76 0.8× 82 1.0× 40 0.6× 21 443
Frazer Lowe United Kingdom 16 304 1.0× 195 1.1× 110 1.2× 154 1.8× 73 1.1× 25 598
Graham Errington United Kingdom 15 296 0.9× 304 1.7× 187 2.0× 104 1.2× 55 0.8× 22 641
Maxim Belushkin Switzerland 10 206 0.7× 215 1.2× 68 0.7× 53 0.6× 35 0.5× 15 390
Margaret Peng United States 8 542 1.7× 275 1.6× 79 0.9× 112 1.3× 153 2.3× 8 744
My Hua United States 7 564 1.8× 271 1.5× 47 0.5× 83 1.0× 116 1.7× 11 762
Christelle Haziza Switzerland 14 584 1.9× 249 1.4× 110 1.2× 149 1.8× 137 2.0× 24 739
Matthias K. Schorp Switzerland 13 176 0.6× 180 1.0× 117 1.3× 45 0.5× 30 0.4× 22 401

Countries citing papers authored by Alison Eldridge

Since Specialization
Citations

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

Fields of papers citing papers by Alison Eldridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alison Eldridge

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

All Works

18 of 18 papers shown
1.
Eldridge, Alison, et al.. (2019). Investigation of number of replicate measurements required to meet cigarette smoke chemistry regulatory requirements measured under Canadian intense smoking conditions. Regulatory Toxicology and Pharmacology. 107. 104402–104402. 1 indexed citations
2.
McAdam, Kevin, et al.. (2018). Influence of machine-based puffing parameters on aerosol and smoke emissions from next generation nicotine inhalation products. Regulatory Toxicology and Pharmacology. 101. 156–165. 22 indexed citations
3.
Fearon, Ian M., et al.. (2018). Nicotine pharmacokinetics of electronic cigarettes: A review of the literature. Regulatory Toxicology and Pharmacology. 100. 25–34. 39 indexed citations
4.
McAdam, Kevin, James J. Murphy, Alison Eldridge, Clive Meredith, & Christopher Proctor. (2018). Integrating chemical, toxicological and clinical research to assess the potential of reducing health risks associated with cigarette smoking through reducing toxicant emissions. Regulatory Toxicology and Pharmacology. 95. 102–114. 8 indexed citations
5.
Gale, Nathan, Michael McEwan, Alison Eldridge, et al.. (2018). Changes in Biomarkers of Exposure on Switching From a Conventional Cigarette to Tobacco Heating Products: A Randomized, Controlled Study in Healthy Japanese Subjects. Nicotine & Tobacco Research. 21(9). 1220–1227. 70 indexed citations
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Eldridge, Alison, et al.. (2017). Impact assessment of WHO TobReg proposals for mandated lowering of selected mainstream cigarette smoke toxicants. Regulatory Toxicology and Pharmacology. 86. 332–348. 7 indexed citations
8.
McAdam, Kevin, Alison Eldridge, Ian M. Fearon, et al.. (2016). Influence of cigarette circumference on smoke chemistry, biological activity, and smoking behaviour. Regulatory Toxicology and Pharmacology. 82. 111–126. 27 indexed citations
9.
Fearon, Ian M., Alison Eldridge, Nathan Gale, et al.. (2016). E-cigarette Nicotine Delivery: Data and Learnings from Pharmacokinetic Studies. American Journal of Health Behavior. 41(1). 16–32. 24 indexed citations
10.
Camacho, Oscar M., Alison Eldridge, Christopher Proctor, & Kevin McAdam. (2015). Empirical characterisation of ranges of mainstream smoke toxicant yields from contemporary cigarette products using quantile regression methodology. Regulatory Toxicology and Pharmacology. 72(3). 458–472. 6 indexed citations
11.
Eldridge, Alison, et al.. (2015). Variation in tobacco and mainstream smoke toxicant yields from selected commercial cigarette products. Regulatory Toxicology and Pharmacology. 71(3). 409–427. 70 indexed citations
12.
Eldridge, Alison, Linsey E. Haswell, Frazer Lowe, et al.. (2015). Changes in levels of biomarkers of exposure and biological effect in a controlled study of smokers switched from conventional cigarettes to reduced-toxicant-prototype cigarettes. Regulatory Toxicology and Pharmacology. 72(2). 273–291. 25 indexed citations
13.
Camacho, Oscar M., et al.. (2013). Reference change values to assess changes in concentrations of biomarkers of exposure in individuals participating in a cigarette-switching study. Clinical Chemistry and Laboratory Medicine (CCLM). 52(3). 399–411. 2 indexed citations
14.
Eldridge, Alison, et al.. (2013). Changes in levels of biomarkers of exposure observed in a controlled study of smokers switched from conventional to reduced toxicant prototype cigarettes. Regulatory Toxicology and Pharmacology. 66(1). 147–162. 20 indexed citations
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Morin, André, et al.. (2010). Estimation and correlation of cigarette smoke exposure in Canadian smokers as determined by filter analysis and biomarkers of exposure. Regulatory Toxicology and Pharmacology. 61(3). S3–S12. 38 indexed citations
18.
Eldridge, Alison, et al.. (2009). A study to estimate and correlate cigarette smoke exposure in smokers in Germany as determined by filter analysis and biomarkers of exposure. Regulatory Toxicology and Pharmacology. 55(1). 97–109. 69 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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