Andrew Elvington

1.0k total citations
16 papers, 758 citations indexed

About

Andrew Elvington is a scholar working on Immunology, Neurology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Andrew Elvington has authored 16 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Neurology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Andrew Elvington's work include Atherosclerosis and Cardiovascular Diseases (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Complement system in diseases (3 papers). Andrew Elvington is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Complement system in diseases (3 papers). Andrew Elvington collaborates with scholars based in United States, Germany and China. Andrew Elvington's co-authors include Stephen Tomlinson, Gwendalyn J. Randolph, Ali Alawieh, Carl Atkinson, Mark S. Kindy, Li‐Hao Huang, Jesse W. Williams, Jin Yu, Bernd H. Zinselmeyer and Brian T. Saunders and has published in prestigious journals such as Nature Immunology, The Journal of Immunology and Circulation Research.

In The Last Decade

Andrew Elvington

16 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Elvington United States 14 384 188 158 155 112 16 758
Martin Busch Germany 17 551 1.4× 266 1.4× 169 1.1× 90 0.6× 60 0.5× 36 1.0k
Yann Dean United Kingdom 11 424 1.1× 171 0.9× 82 0.5× 169 1.1× 88 0.8× 16 774
Grace Pinhal‐Enfield United States 5 452 1.2× 256 1.4× 76 0.5× 118 0.8× 76 0.7× 6 924
Andre Broermann Germany 12 237 0.6× 458 2.4× 145 0.9× 91 0.6× 55 0.5× 15 945
Wenxin Huang Sweden 13 438 1.1× 565 3.0× 134 0.8× 43 0.3× 87 0.8× 23 1.0k
Leanne Masters United Kingdom 15 824 2.1× 301 1.6× 160 1.0× 48 0.3× 51 0.5× 19 1.0k
Myoungsun Son United States 18 675 1.8× 293 1.6× 64 0.4× 96 0.6× 55 0.5× 25 1.1k
Simon Allen United Kingdom 19 168 0.4× 307 1.6× 74 0.5× 38 0.2× 205 1.8× 63 1.1k
Brian T. Saunders United States 15 422 1.1× 261 1.4× 109 0.7× 49 0.3× 172 1.5× 17 858
Giorgia Teresa Maniscalco Italy 15 438 1.1× 277 1.5× 75 0.5× 84 0.5× 40 0.4× 64 1.1k

Countries citing papers authored by Andrew Elvington

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Elvington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Elvington

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

All Works

16 of 16 papers shown
1.
Detering, Lisa, Allison Abdilla, Hannah Luehmann, et al.. (2021). CC Chemokine Receptor 5 Targeted Nanoparticles Imaging the Progression and Regression of Atherosclerosis Using Positron Emission Tomography/Computed Tomography. Molecular Pharmaceutics. 18(3). 1386–1396. 24 indexed citations
2.
Baba, Osamu, Andrew Elvington, Martyna Szpakowska, et al.. (2020). CXCR4-Binding Positron Emission Tomography Tracers Link Monocyte Recruitment and Endothelial Injury in Murine Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 41(2). 822–836. 16 indexed citations
3.
Williams, Jesse W., Konstantin Zaitsev, Ki-Wook Kim, et al.. (2020). Limited proliferation capacity of aortic intima resident macrophages requires monocyte recruitment for atherosclerotic plaque progression. Nature Immunology. 21(10). 1194–1204. 138 indexed citations
4.
Williams, Jesse W., et al.. (2019). B Cell–Mediated Antigen Presentation through MHC Class II Is Dispensable for Atherosclerosis Progression. ImmunoHorizons. 3(1). 37–44. 12 indexed citations
5.
Williams, Jesse W., Catherine Martel, Stéphane Potteaux, et al.. (2018). Limited Macrophage Positional Dynamics in Progressing or Regressing Murine Atherosclerotic Plaques—Brief Report. Arteriosclerosis Thrombosis and Vascular Biology. 38(8). 1702–1710. 43 indexed citations
6.
Huang, Li‐Hao, Bernd H. Zinselmeyer, Chih‐Hao Chang, et al.. (2018). Interleukin-17 Drives Interstitial Entrapment of Tissue Lipoproteins in Experimental Psoriasis. Cell Metabolism. 29(2). 475–487.e7. 37 indexed citations
7.
Cortés‐Selva, Diana, Andrew Elvington, Bartek Rajwa, et al.. (2018). Schistosoma mansoni Infection-Induced Transcriptional Changes in Hepatic Macrophage Metabolism Correlate With an Athero-Protective Phenotype. Frontiers in Immunology. 9. 2580–2580. 23 indexed citations
8.
Williams, Jesse W., Andrew Elvington, Stoyan Ivanov, et al.. (2017). Thermoneutrality but Not UCP1 Deficiency Suppresses Monocyte Mobilization Into Blood. Circulation Research. 121(6). 662–676. 34 indexed citations
9.
Randolph, Gwendalyn J., Andrew Elvington, Nilantha Bandara, et al.. (2016). Imaging of hypoxia in mouse atherosclerotic plaques with 64Cu-ATSM. Nuclear Medicine and Biology. 43(9). 534–542. 11 indexed citations
10.
Laforest, Richard, Andrew Elvington, Gwendalyn J. Randolph, et al.. (2016). PET/MRI of Hypoxic Atherosclerosis Using 64Cu-ATSM in a Rabbit Model. Journal of Nuclear Medicine. 57(12). 2006–2011. 37 indexed citations
11.
Huang, Li‐Hao, Andrew Elvington, & Gwendalyn J. Randolph. (2015). The role of the lymphatic system in cholesterol transport. Frontiers in Pharmacology. 6. 182–182. 67 indexed citations
12.
Alawieh, Ali, Andrew Elvington, & Stephen Tomlinson. (2015). Complement in the Homeostatic and Ischemic Brain. Frontiers in Immunology. 6. 417–417. 77 indexed citations
13.
Alawieh, Ali, Andrew Elvington, Hong Zhu, et al.. (2015). Modulation of post-stroke degenerative and regenerative processes and subacute protection by site-targeted inhibition of the alternative pathway of complement. Journal of Neuroinflammation. 12(1). 247–247. 72 indexed citations
14.
Elvington, Andrew, Carl Atkinson, Hong Zhu, et al.. (2012). The Alternative Complement Pathway Propagates Inflammation and Injury in Murine Ischemic Stroke. The Journal of Immunology. 189(9). 4640–4647. 73 indexed citations
15.
Elvington, Andrew, Carl Atkinson, Liudmila Kulik, et al.. (2011). Pathogenic Natural Antibodies Propagate Cerebral Injury Following Ischemic Stroke in Mice. The Journal of Immunology. 188(3). 1460–1468. 56 indexed citations
16.
He, Songqing, Carl Atkinson, Zachary Evans, et al.. (2009). A Role for Complement in the Enhanced Susceptibility of Steatotic Livers to Ischemia and Reperfusion Injury. The Journal of Immunology. 183(7). 4764–4772. 38 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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