Emma M. Corr

3.3k total citations · 2 hit papers
17 papers, 2.0k citations indexed

About

Emma M. Corr is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Emma M. Corr has authored 17 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Neurology. Recurrent topics in Emma M. Corr's work include Atherosclerosis and Cardiovascular Diseases (3 papers), Inflammasome and immune disorders (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Emma M. Corr is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (3 papers), Inflammasome and immune disorders (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Emma M. Corr collaborates with scholars based in United States, Ireland and Brazil. Emma M. Corr's co-authors include Orla Hardiman, Giancarlo Logroscino, Zachary Simmons, Ammar Al‐Chalabi, Leonard H. van den Berg, Pamela J. Shaw, Wim Robberecht, Adriano Chiò, Kathryn J. Moore and Graeme J. Koelwyn and has published in prestigious journals such as Circulation, Blood and Nature Immunology.

In The Last Decade

Emma M. Corr

16 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

Amyotrophic lateral sclerosis

2017 944 citations Orla Hardiman, Ammar Al‐Chalabi et al. Nature Reviews Disease Primers profile →
Regulation of macrophage immunometabolism in atherosclerosis

2018 414 citations Graeme J. Koelwyn, Emma M. Corr et al. Nature Immunology profile →

Peers

Emma M. Corr

NEURO

IMMUN

GENET

PHYSI

Gilmore O’Neill United States

Yideng Liang United States

Jacinda B. Sampson United States

Erik Storkebaum Germany

Yucong Peng China

Hitoshi Warita Japan

Leonie Jestaedt Germany

Michelle H. Theus United States

Ericka Simpson United States

Gilmore O’Neill United States

Emma M. Corr

705 ×0.8

NEURO

453 ×0.6

452 ×0.9

IMMUN

229 ×0.5

GENET

119 ×0.5

PHYSI

Citations per year, relative to Emma M. Corr Emma M. Corr (= 1×) peers Gilmore O’Neill

Countries citing papers authored by Emma M. Corr

Since Specialization

Citations

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

Fields of papers citing papers by Emma M. Corr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma M. Corr. 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 Emma M. Corr. The network helps show where Emma M. Corr may publish in the future.

Co-authorship network of co-authors of Emma M. Corr

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Dai, Min, Emma M. Corr, MacIntosh Cornwell, et al.. (2025). Tetraspanin CD37 regulates platelet hyperreactivity and thrombosis. Cardiovascular Research. 121(6). 943–956. 1 indexed citations

Schlegel, Martin, Monika Sharma, Emily J. Brown, et al.. (2021). Silencing Myeloid Netrin-1 Induces Inflammation Resolution and Plaque Regression. Circulation Research. 129(5). 530–546. 30 indexed citations

Afonso, Milessa Silva, Narendra Verma, Coen van Solingen, et al.. (2021). MicroRNA-33 Inhibits Adaptive Thermogenesis and Adipose Tissue Beiging. Arteriosclerosis Thrombosis and Vascular Biology. 41(4). 1360–1373. 17 indexed citations

Barrett, Tessa J., Emma M. Corr, Angela Lee, et al.. (2020). Abstract 17179: Stress-Mediated Platelet Activation Contributes to Thrombosis: Findings From the American Heart Association Go Red for Women Strategically Focused Research Network. Circulation. 142(Suppl_3). 2 indexed citations

Sharma, Monika, Martin Schlegel, Milessa Silva Afonso, et al.. (2020). Regulatory T Cells License Macrophage Pro-Resolving Functions During Atherosclerosis Regression. Circulation Research. 127(3). 335–353. 182 indexed citations

Sharma, Monika, Martin Schlegel, Emily J. Brown, et al.. (2019). Netrin-1 Alters Adipose Tissue Macrophage Fate and Function in Obesity. PubMed. 1(2). 41 indexed citations

Mahon, Olwyn R., Clare C. Cunningham, Emma M. Corr, et al.. (2019). S100A8 acts as an autocrine priming signal for heme-induced human Mϕ pro-inflammatory responses in hemolytic inflammation. Journal of Leukocyte Biology. 106(1). 35–43. 10 indexed citations

Corr, Emma M., Graeme J. Koelwyn, Monika Sharma, et al.. (2019). Abstract 610: Acute Myocardial Infarction Induces Long Term Reprogramming of Monocytes Inflammatory and Functional Responses. Arteriosclerosis Thrombosis and Vascular Biology. 39(Suppl_1).

Koelwyn, Graeme J., Emma M. Corr, Ebru Erbay, & Kathryn J. Moore. (2018). Regulation of macrophage immunometabolism in atherosclerosis. Nature Immunology. 19(6). 526–537. 414 indexed citations breakdown →

10.

Ryan, Marie, Mark Heverin, Mark A. Doherty, et al.. (2018). Determining the incidence of familiality in ALS. Neurology Genetics. 4(3). e239–e239. 22 indexed citations

11.

Corr, Emma M., et al.. (2017). Osteoarthritis-associated basic calcium phosphate crystals activate membrane proximal kinases in human innate immune cells. Arthritis Research & Therapy. 19(1). 23–23. 49 indexed citations

12.

Hardiman, Orla, Ammar Al‐Chalabi, Adriano Chiò, et al.. (2017). Amyotrophic lateral sclerosis. Nature Reviews Disease Primers. 3(1). 17071–17071. 944 indexed citations breakdown →

13.

Hardiman, Orla, Ammar Al‐Chalabi, Adriano Chiò, et al.. (2017). Correction: Amyotrophic lateral sclerosis. Nature Reviews Disease Primers. 3(1). 17085–17085. 262 indexed citations

14.

Cunningham, Clare C., Emma M. Corr, Géraldine McCarthy, & Aisling Dunne. (2016). Intra-articular basic calcium phosphate and monosodium urate crystals inhibit anti-osteoclastogenic cytokine signalling. Osteoarthritis and Cartilage. 24(12). 2141–2152. 27 indexed citations

15.

Cunningham, Clare C., Emma M. Corr, Fernando Ferreira Costa, et al.. (2016). Heme Induces NLRP3 Inflammasome Formation in Primary Human Macrophages and May Propagate Hemolytic Inflammatory Processes By Inducing S100A8 Expression. Blood. 128(22). 1256–1256. 7 indexed citations

16.

Corr, Emma M., Clare C. Cunningham, & Aisling Dunne. (2016). Cholesterol crystals activate Syk and PI3 kinase in human macrophages and dendritic cells. Atherosclerosis. 251. 197–205. 38 indexed citations

17.

Cunningham, Clare C., Emma M. Corr, Donal J Cox, & Aisling Dunne. (2015). Investigating Inflammasome Activation Under Conditions of Cellular Stress and Injury. Methods in molecular biology. 1292. 105–113. 2 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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