David van Reyk

1.3k total citations
40 papers, 1.1k citations indexed

About

David van Reyk is a scholar working on Physiology, Immunology and Molecular Biology. According to data from OpenAlex, David van Reyk has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 11 papers in Immunology and 7 papers in Molecular Biology. Recurrent topics in David van Reyk's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Advanced Glycation End Products research (6 papers) and Antioxidant Activity and Oxidative Stress (5 papers). David van Reyk is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Advanced Glycation End Products research (6 papers) and Antioxidant Activity and Oxidative Stress (5 papers). David van Reyk collaborates with scholars based in Australia, Denmark and United States. David van Reyk's co-authors include Michael J. Davies, Wendy Jessup, Roger T. Dean, Clare L. Hawkins, Imran Rashid, B. E. Brown, Hui Chen, Mark C. Gillies, Brian G. Oliver and Andrew J. Brown and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and FEBS Letters.

In The Last Decade

David van Reyk

39 papers receiving 1.0k citations

Peers

David van Reyk
Panakkezhum D. Thomas Canada
Hugo P. Monteiro Brazil
Samantha A. Whitman United States
Sara Di Silvestre Italy
Huse Kamencic Canada
Takahito Kondo Japan
Amanda L. Kalen United States
Angélica M. Amanso Brazil
Ehab H. Sarsour United States
Dinender Kumar Canada
Panakkezhum D. Thomas Canada
David van Reyk
Citations per year, relative to David van Reyk David van Reyk (= 1×) peers Panakkezhum D. Thomas

Countries citing papers authored by David van Reyk

Since Specialization
Citations

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

Fields of papers citing papers by David van Reyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David van Reyk. 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 David van Reyk. The network helps show where David van Reyk may publish in the future.

Co-authorship network of co-authors of David van Reyk

This figure shows the co-authorship network connecting the top 25 collaborators of David van Reyk. A scholar is included among the top collaborators of David van Reyk 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 David van Reyk. David van Reyk 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.
Oliver, Brian G., Xiaomin Huang, Xu Bai, et al.. (2024). Chronic maternal exposure to low-dose PM2.5 impacts cognitive outcomes in a sex-dependent manner. Environment International. 191. 108971–108971. 6 indexed citations
2.
Thorpe, Andrew, Chantal Donovan, Richard Kim, et al.. (2023). Third-Hand Exposure to E-Cigarette Vapour Induces Pulmonary Effects in Mice. Toxics. 11(9). 749–749. 10 indexed citations
3.
Chen, Hui, David van Reyk, Yik Lung Chan, et al.. (2022). Sex-Dependent Responses to Maternal Exposure to PM2.5 in the Offspring. Antioxidants. 11(11). 2255–2255. 8 indexed citations
4.
Chen, Hui, David van Reyk, Jorge Reyna, & Brian G. Oliver. (2022). A comparison of attitudes toward remote learning during the COVID-19 pandemic between students attending a Chinese and an Australian campus. AJP Advances in Physiology Education. 46(2). 297–308. 5 indexed citations
5.
Chen, Hui, Gerard Li, Yik Lung Chan, et al.. (2018). Modulation of neural regulators of energy homeostasis, and of inflammation, in the pups of mice exposed to e-cigarettes. Neuroscience Letters. 684. 61–66. 44 indexed citations
6.
Rayner, Benjamin S., et al.. (2017). Low-density lipoprotein modified by myeloperoxidase oxidants induces endothelial dysfunction. Redox Biology. 13. 623–632. 38 indexed citations
7.
Bennett, Dawn, et al.. (2017). How do research-intensive universities portray employability strategies? A review of their websites. Australian Journal of Career Development. 26(2). 52–61. 26 indexed citations
8.
Mitchell, James B., Christina A. Bursill, Anastasia L. Sowers, et al.. (2015). The nitroxide radical TEMPOL prevents obesity, hyperlipidaemia, elevation of inflammatory cytokines, and modulates atherosclerotic plaque composition in apoE−/− mice. Atherosclerosis. 240(1). 234–241. 39 indexed citations
9.
Brown, B. E., Fraser R. Torpy, Christina A. Bursill, et al.. (2013). Supplementation with carnosine decreases plasma triglycerides and modulates atherosclerotic plaque composition in diabetic apo E−/− mice. Atherosclerosis. 232(2). 403–409. 53 indexed citations
10.
Reyk, David van, et al.. (2013). ‘Teach Me Chemistry Like a Ladder and Make it Real’ – Barriers and Motivations Students Face in Learning Chemistry for Bioscience. International Journal of Innovation in Science and Mathematics Education. 21(2). 3 indexed citations
11.
12.
Moheimani, Fatemeh, Philip E. Morgan, David van Reyk, & Michael J. Davies. (2010). Deleterious effects of reactive aldehydes and glycated proteins on macrophage proteasomal function: Possible links between diabetes and atherosclerosis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1802(6). 561–571. 39 indexed citations
13.
Brown, B. E., Imran Rashid, David van Reyk, & Michael J. Davies. (2007). Glycation of low‐density lipoprotein results in the time‐dependent accumulation of cholesteryl esters and apolipoprotein B‐100 protein in primary human monocyte‐derived macrophages. FEBS Journal. 274(6). 1530–1541. 32 indexed citations
14.
Reyk, David van, Andrew J. Brown, Lillemor Mattsson Hultén, Roger T. Dean, & Wendy Jessup. (2006). Oxysterols in biological systems: sources, metabolism and pathophysiological relevance. Redox Report. 11(6). 255–262. 81 indexed citations
15.
16.
Hultén, Lillemor Mattsson, Alexandra Krettek, David van Reyk, et al.. (2005). Human macrophages limit oxidation products in low density lipoprotein. Lipids in Health and Disease. 4(1). 6–6. 14 indexed citations
17.
Reyk, David van, Shalom Sarel, & Nicholas H. Hunt. (2000). Inhibition of in vitro lymphoproliferation by three novel iron chelators of the pyridoxal and salicyl aldehyde hydrazone classes. Biochemical Pharmacology. 60(4). 581–587. 15 indexed citations
18.
Garner, Brett, David van Reyk, Roger T. Dean, & Wendy Jessup. (1997). Direct Copper Reduction by Macrophages. Journal of Biological Chemistry. 272(11). 6927–6935. 41 indexed citations
19.
Reyk, David van, Shalom Sarel, & Nicholas H. Hunt. (1992). In vitro effects of three iron chelators on mitogen-activated lymphocytes: Identification of differences in their mechanisms of action. International Journal of Immunopharmacology. 14(5). 925–932. 15 indexed citations
20.
Armati, Patricia J., et al.. (1988). Neuroimmunological electron microscopy with microwave-accelerated fixation. Journal of Immunological Methods. 110(2). 267–269. 19 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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