Niamh O’Reilly

697 total citations
10 papers, 523 citations indexed

About

Niamh O’Reilly is a scholar working on Dermatology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Niamh O’Reilly has authored 10 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Dermatology, 3 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Niamh O’Reilly's work include Acne and Rosacea Treatments and Effects (7 papers), Herpesvirus Infections and Treatments (3 papers) and Dermatological diseases and infestations (3 papers). Niamh O’Reilly is often cited by papers focused on Acne and Rosacea Treatments and Effects (7 papers), Herpesvirus Infections and Treatments (3 papers) and Dermatological diseases and infestations (3 papers). Niamh O’Reilly collaborates with scholars based in Ireland, Poland and United Kingdom. Niamh O’Reilly's co-authors include Kevin Kavanagh, Ryszard Żaba, Andrzej Szkaradkiewicz, Luca Prodi, Stuart L. James, Nelsi Zaccheroni, Scheffer C.G. Tseng, V K Raju, Hosam Sheha and Jianjing Li and has published in prestigious journals such as Journal of the American Chemical Society, Ophthalmology and Investigative Ophthalmology & Visual Science.

In The Last Decade

Niamh O’Reilly

10 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niamh O’Reilly Ireland 9 374 122 76 76 53 10 523
Peipei Yang China 9 202 0.5× 144 1.2× 16 0.2× 58 0.8× 9 0.2× 12 654
Christopher Wolff Germany 12 57 0.2× 64 0.5× 25 0.3× 23 0.3× 27 0.5× 16 396
Joseph Capriotti United States 12 38 0.1× 118 1.0× 60 0.8× 53 0.7× 54 1.0× 19 530
Haripriya Kalluri United States 13 466 1.2× 15 0.1× 22 0.3× 97 1.3× 10 0.2× 13 870
Yu‐Ye Li China 15 29 0.1× 292 2.4× 229 3.0× 77 1.0× 72 1.4× 75 680
Raphaël Zwier Netherlands 8 105 0.3× 22 0.2× 32 0.4× 25 0.3× 37 0.7× 9 467
Mahmoud Ameri United States 14 230 0.6× 25 0.2× 27 0.4× 44 0.6× 41 0.8× 21 724
Sang‐Nae Cho South Korea 6 45 0.1× 121 1.0× 86 1.1× 26 0.3× 10 0.2× 7 331
Corona M. Cassidy United Kingdom 11 77 0.2× 44 0.4× 27 0.4× 14 0.2× 172 3.2× 12 635
Sachiko Kosaka United States 9 64 0.2× 26 0.2× 83 1.1× 130 1.7× 28 0.5× 12 378

Countries citing papers authored by Niamh O’Reilly

Since Specialization
Citations

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

Fields of papers citing papers by Niamh O’Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Niamh O’Reilly. 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 Niamh O’Reilly. The network helps show where Niamh O’Reilly may publish in the future.

Co-authorship network of co-authors of Niamh O’Reilly

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

All Works

10 of 10 papers shown
1.
McElvaney, Oliver J., Niamh O’Reilly, Michelle M. White, et al.. (2014). The effect of the decoy molecule PA401 on CXCL8 levels in bronchoalveolar lavage fluid of patients with cystic fibrosis. Molecular Immunology. 63(2). 550–558. 12 indexed citations
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O’Reilly, Niamh, et al.. (2012). Positive correlation between serum immunoreactivity to Demodex -associated Bacillus proteins and erythematotelangiectatic rosacea. British Journal of Dermatology. 167(5). 1032–1036. 74 indexed citations
5.
O’Reilly, Niamh, et al.. (2012). The potential role of Demodex folliculorum mites and bacteria in the induction of rosacea.. Maynooth University ePrints and eTheses Archive (Maynooth University). 8 indexed citations
6.
O’Reilly, Niamh, et al.. (2012). Potential role of Demodex mites and bacteria in the induction of rosacea. Journal of Medical Microbiology. 61(11). 1504–1510. 131 indexed citations
7.
O’Reilly, Niamh, Clair Gallagher, Kishore Reddy Katikireddy, et al.. (2012). Demodex-AssociatedBacillusProteins Induce an Aberrant Wound Healing Response in a Corneal Epithelial Cell Line: Possible Implications for Corneal Ulcer Formation in Ocular Rosacea. Investigative Ophthalmology & Visual Science. 53(6). 3250–3250. 25 indexed citations
8.
O’Reilly, Niamh, David A. Bergin, Emer P. Reeves, Noel G. McElvaney, & Kevin Kavanagh. (2011). Demodex-associated bacterial proteins induce neutrophil activation. British Journal of Dermatology. 166(4). 753–760. 56 indexed citations
9.
Li, Jianjing, Niamh O’Reilly, Hosam Sheha, et al.. (2010). Correlation between Ocular Demodex Infestation and Serum Immunoreactivity to Bacillus Proteins in Patients with Facial Rosacea. Ophthalmology. 117(5). 870–877.e1. 101 indexed citations
10.
Montalti, Marco, Nelsi Zaccheroni, Luca Prodi, Niamh O’Reilly, & Stuart L. James. (2007). Enhanced Sensitized NIR Luminescence from Gold Nanoparticles via Energy Transfer from Surface-Bound Fluorophores. Journal of the American Chemical Society. 129(9). 2418–2419. 69 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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