Katey J. Rayner

17.2k total citations · 8 hit papers
102 papers, 13.2k citations indexed

About

Katey J. Rayner is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Katey J. Rayner has authored 102 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 41 papers in Cancer Research and 36 papers in Immunology. Recurrent topics in Katey J. Rayner's work include MicroRNA in disease regulation (34 papers), Atherosclerosis and Cardiovascular Diseases (19 papers) and Cancer-related molecular mechanisms research (15 papers). Katey J. Rayner is often cited by papers focused on MicroRNA in disease regulation (34 papers), Atherosclerosis and Cardiovascular Diseases (19 papers) and Cancer-related molecular mechanisms research (15 papers). Katey J. Rayner collaborates with scholars based in Canada, United States and Sweden. Katey J. Rayner's co-authors include Kathryn J. Moore, Carlos Fernández‐Hernando, Yajaira Suárez, Edward A. Fisher, Eicke Latz, Katherine A. Fitzgerald, Janine M. van Gils, Frederick J. Sheedy, Saj Parathath and Guillermo G. Nuñez and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Katey J. Rayner

102 papers receiving 13.1k citations

Hit Papers

NLRP3 inflammasomes are required for atherogenesis and ac... 2009 2026 2014 2020 2010 2009 2010 2013 2011 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. NLRP3 inflammasomes are required for atherogenesis and activated by cholesterol crystals
    2010 3.1k citations Katey J. Rayner, Kathryn J. Moore et al. profile →
  2. CD36 ligands promote sterile inflammation through assembly of a Toll-like receptor 4 and 6 heterodimer
    2009 1.2k citations Katey J. Rayner, Kathryn J. Moore et al. profile →
  3. MiR-33 Contributes to the Regulation of Cholesterol Homeostasis
    2010 990 citations Katey J. Rayner, Yajaira Suárez et al. Science profile →
  4. CD36 coordinates NLRP3 inflammasome activation by facilitating intracellular nucleation of soluble ligands into particulate ligands in sterile inflammation
    2013 731 citations Frederick J. Sheedy, Katey J. Rayner et al. profile →
  5. Antagonism of miR-33 in mice promotes reverse cholesterol transport and regression of atherosclerosis
    2011 566 citations Katey J. Rayner, Frederick J. Sheedy et al. profile →
  6. Inhibition of miR-33a/b in non-human primates raises plasma HDL and lowers VLDL triglycerides
    2011 556 citations Katey J. Rayner, Christine Esau et al. profile →
  7. miR-33a/b contribute to the regulation of fatty acid metabolism and insulin signaling
    2011 542 citations Alberto Dávalos, Katey J. Rayner et al. Proceedings of the National Academy of Sciences profile →
  8. Role of inflammation in the pathogenesis of atherosclerosis and therapeutic interventions
    2018 339 citations Katey J. Rayner et al. profile →

Peers

Katey J. Rayner
Menno P.J. de Winther Netherlands
Frederick J. Sheedy Ireland
Esther Lutgens Netherlands
Carlos Fernández‐Hernando United States
Erik A.L. Biessen Netherlands
Minoru Satoh Japan
Andreas Linkermann Germany
Ulf Hedin Sweden
Christoph J. Binder Austria
Ichiro Manabe Japan
Menno P.J. de Winther Netherlands
Katey J. Rayner
Citations per year, relative to Katey J. Rayner Katey J. Rayner (= 1×) peers Menno P.J. de Winther

Countries citing papers authored by Katey J. Rayner

Since Specialization
Citations

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

Fields of papers citing papers by Katey J. Rayner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katey J. Rayner. 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 Katey J. Rayner. The network helps show where Katey J. Rayner may publish in the future.

Co-authorship network of co-authors of Katey J. Rayner

This figure shows the co-authorship network connecting the top 25 collaborators of Katey J. Rayner. A scholar is included among the top collaborators of Katey J. Rayner 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 Katey J. Rayner. Katey J. Rayner 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.
Claeys, Kimberly C., et al.. (2025). Potential role of report nudging on diagnosis and treatment of ventilator-associated pneumonia: a quantitative survey. Antimicrobial Stewardship & Healthcare Epidemiology. 5(1). e55–e55. 1 indexed citations
2.
Weinblatt, Michael E., Peter C. Taylor, Iain B. McInnes, et al.. (2025). Long-term safety and efficacy of anti-GM-CSF otilimab in patients with rheumatoid arthritis: long-term extension of three phase 3 randomised trials (contRAst X). BMJ Open. 15(3). e088869–e088869. 1 indexed citations
3.
Rasheed, Adil, Sabrina Robichaud, My-Anh Nguyen, et al.. (2024). Hyperlipidemia-induced hematopoiesis is repressed by MLKL in endothelial cells of the splenic niche. Nature Cardiovascular Research. 3(5). 594–611. 2 indexed citations
4.
Nguyen, My-Anh, et al.. (2023). Mitochondrial Fragmentation Promotes Inflammation Resolution Responses in Macrophages via Histone Lactylation. Molecular and Cellular Biology. 43(10). 531–546. 39 indexed citations
5.
Berton, Stefania, Michèle Geoffrion, Mary‐Ellen Harper, et al.. (2023). ATF2 orchestrates macrophage differentiation and activation to promote antibacterial responses. Journal of Leukocyte Biology. 114(3). 280–298. 7 indexed citations
6.
Corrales‐Medina, Vicente, et al.. (2023). Pneumonia-Induced Inflammation, Resolution and Cardiovascular Disease: Causes, Consequences and Clinical Opportunities. Circulation Research. 132(6). 751–774. 29 indexed citations
7.
Puylaert, Pauline, et al.. (2022). Regulated Necrosis in Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 42(11). 1283–1306. 63 indexed citations
8.
Nguyen, My-Anh, Huy‐Dung Hoang, Adil Rasheed, et al.. (2022). miR-223 Exerts Translational Control of Proatherogenic Genes in Macrophages. Circulation Research. 131(1). 42–58. 42 indexed citations
9.
Jung, Richard G., Anne‐Claire Duchez, Trevor Simard, et al.. (2022). Plasminogen Activator Inhibitor-1–Positive Platelet-Derived Extracellular Vesicles Predicts MACE and the Proinflammatory SMC Phenotype. JACC Basic to Translational Science. 7(10). 985–997. 2 indexed citations
10.
Hu, Mei, Sayantan Jana, Faqi Wang, et al.. (2021). Loss of TIMP4 (Tissue Inhibitor of Metalloproteinase 4) Promotes Atherosclerotic Plaque Deposition in the Abdominal Aorta Despite Suppressed Plasma Cholesterol Levels. Arteriosclerosis Thrombosis and Vascular Biology. 41(6). 1874–1889. 12 indexed citations
11.
Rasheed, Adil & Katey J. Rayner. (2021). Macrophage Responses to Environmental Stimuli During Homeostasis and Disease. Endocrine Reviews. 42(4). 407–435. 47 indexed citations
12.
Nguyen, My-Anh, Hailey Wyatt, Leah C. Susser, et al.. (2019). Delivery of MicroRNAs by Chitosan Nanoparticles to Functionally Alter Macrophage Cholesterol Efflux in Vitro and in Vivo. ACS Nano. 13(6). 6491–6505. 123 indexed citations
13.
Al‐Hashimi, Ali, Edward G. Lynn, Šárka Lhoták, et al.. (2018). Anti-GRP78 autoantibodies induce endothelial cell activation and accelerate the development of atherosclerotic lesions. JCI Insight. 3(24). 36 indexed citations
14.
Karunakaran, Denuja & Katey J. Rayner. (2016). Macrophage miRNAs in atherosclerosis. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1861(12). 2087–2093. 25 indexed citations
15.
Singaravelu, Ragunath, Daniel M. Jones, Ran Chen, et al.. (2015). MicroRNAs regulate the immunometabolic response to viral infection in the liver. Nature Chemical Biology. 11(12). 988–993. 56 indexed citations
16.
Feig, Jonathan E., James X. Rong, Raanan Shamir, et al.. (2011). HDL promotes rapid atherosclerosis regression in mice and alters inflammatory properties of plaque monocyte-derived cells. Proceedings of the National Academy of Sciences. 108(17). 7166–7171. 250 indexed citations
17.
Raizman, Joshua E., Yong‐Xiang Chen, Tara Seibert, et al.. (2011). Abstract 15504: Heat Shock Protein 27 Mediated Atheroprotetion Requires Scavenger Receptor-A: Mechanistic Insight Into a Novel Therapeutic. Circulation. 124. 1 indexed citations
18.
Rayner, Katey J., Frederick J. Sheedy, & Christine Esau. (2011). Antagonism of miR-33 in Mice Promotes Reverse Cholesterol Transport and Regression of Atherosclerosis. Journal of Vascular Surgery. 54(5). 1535–1535. 3 indexed citations
19.
Rayner, Katey J., Yajaira Suárez, Alberto Dávalos, et al.. (2010). MiR-33 Contributes to the Regulation of Cholesterol Homeostasis. Science. 328(5985). 1570–1573. 990 indexed citations breakdown →
20.
Fernández‐Hernando, Carlos, Yajaira Suárez, Katey J. Rayner, & Kathryn J. Moore. (2010). MicroRNAs in lipid metabolism. Current Opinion in Lipidology. 22(2). 86–92. 254 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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