Elyse Di Marco

944 total citations
9 papers, 782 citations indexed

About

Elyse Di Marco is a scholar working on Immunology, Clinical Biochemistry and Physiology. According to data from OpenAlex, Elyse Di Marco has authored 9 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Clinical Biochemistry and 4 papers in Physiology. Recurrent topics in Elyse Di Marco's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Atherosclerosis and Cardiovascular Diseases (5 papers) and Advanced Glycation End Products research (4 papers). Elyse Di Marco is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Atherosclerosis and Cardiovascular Diseases (5 papers) and Advanced Glycation End Products research (4 papers). Elyse Di Marco collaborates with scholars based in Australia, United Kingdom and Netherlands. Elyse Di Marco's co-authors include Karin Jandeleit‐Dahm, Stephen P. Gray, Harald Schmidt, Rhian M. Touyz, Judy B. de Haan, Assam El‐Osta, Jun Okabe, Mark E. Cooper, Augusto C. Montezano and Cédric Szyndralewiez and has published in prestigious journals such as Circulation, Free Radical Biology and Medicine and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Elyse Di Marco

9 papers receiving 773 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elyse Di Marco Australia 7 289 284 213 145 119 9 782
Christine Koulis Australia 11 334 1.2× 180 0.6× 223 1.0× 188 1.3× 155 1.3× 13 863
C Sui China 3 135 0.5× 247 0.9× 281 1.3× 119 0.8× 148 1.2× 4 711
Tamehachi Namikoshi Japan 18 220 0.8× 253 0.9× 306 1.4× 156 1.1× 132 1.1× 25 1.3k
David Barit Australia 8 228 0.8× 195 0.7× 264 1.2× 404 2.8× 245 2.1× 11 974
Maiko Kakimoto Japan 8 141 0.5× 294 1.0× 357 1.7× 285 2.0× 183 1.5× 9 935
Monica Raicu Czechia 18 447 1.5× 345 1.2× 431 2.0× 102 0.7× 55 0.5× 27 1.1k
Alexei Kouroedov Switzerland 6 105 0.4× 201 0.7× 220 1.0× 72 0.5× 93 0.8× 7 604
Naotaka Sekiguchi Japan 10 91 0.3× 285 1.0× 250 1.2× 164 1.1× 139 1.2× 22 803
Sara P. Alom-Ruiz United Kingdom 6 229 0.8× 290 1.0× 199 0.9× 36 0.2× 48 0.4× 6 613
Naoichi Sato Japan 7 94 0.3× 198 0.7× 203 1.0× 112 0.8× 114 1.0× 11 625

Countries citing papers authored by Elyse Di Marco

Since Specialization
Citations

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

Fields of papers citing papers by Elyse Di Marco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elyse Di Marco. 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 Elyse Di Marco. The network helps show where Elyse Di Marco may publish in the future.

Co-authorship network of co-authors of Elyse Di Marco

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

All Works

9 of 9 papers shown
2.
Marco, Elyse Di, Stephen P. Gray, Kit Kennedy, et al.. (2016). NOX4-derived reactive oxygen species limit fibrosis and inhibit proliferation of vascular smooth muscle cells in diabetic atherosclerosis. Free Radical Biology and Medicine. 97. 556–567. 57 indexed citations
3.
Marco, Elyse Di, Stephen P. Gray, Phyllis Chew, et al.. (2016). Differential effects of NOX4 and NOX1 on immune cell-mediated inflammation in the aortic sinus of diabetic ApoE−/− mice. Clinical Science. 130(15). 1363–1374. 29 indexed citations
4.
Marco, Elyse Di, Jay C. Jha, Arpeeta Sharma, et al.. (2015). Are reactive oxygen species still the basis for diabetic complications?. Clinical Science. 129(2). 199–216. 78 indexed citations
5.
Gray, Stephen P., Elyse Di Marco, Kit Kennedy, et al.. (2015). Reactive Oxygen Species Can Provide Atheroprotection via NOX4-Dependent Inhibition of Inflammation and Vascular Remodeling. Arteriosclerosis Thrombosis and Vascular Biology. 36(2). 295–307. 148 indexed citations
6.
Gray, Stephen P., Jay C. Jha, Elyse Di Marco, & Karin Jandeleit‐Dahm. (2014). NAD(P)H oxidase isoforms as therapeutic targets for diabetic complications. Expert Review of Endocrinology & Metabolism. 9(2). 111–122. 4 indexed citations
7.
Gray, Stephen P., Elyse Di Marco, Jun Okabe, et al.. (2013). NADPH Oxidase 1 Plays a Key Role in Diabetes Mellitus–Accelerated Atherosclerosis. Circulation. 127(18). 1888–1902. 319 indexed citations
8.
Marco, Elyse Di, Stephen P. Gray, & Karin Jandeleit‐Dahm. (2013). Diabetes Alters Activation and Repression of Pro- and Anti-Inflammatory Signaling Pathways in the Vasculature. Frontiers in Endocrinology. 4. 68–68. 47 indexed citations
9.
Sedeek, Mona, Augusto C. Montezano, Richard Hébert, et al.. (2012). Oxidative Stress, Nox Isoforms and Complications of Diabetes—Potential Targets for Novel Therapies. Journal of Cardiovascular Translational Research. 5(4). 509–518. 97 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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