Mary O’Reilly

9.2k total citations · 2 hit papers
46 papers, 3.5k citations indexed

About

Mary O’Reilly is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Mary O’Reilly has authored 46 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 13 papers in Genetics and 9 papers in Infectious Diseases. Recurrent topics in Mary O’Reilly's work include Bacterial Genetics and Biotechnology (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers) and Retinal Development and Disorders (9 papers). Mary O’Reilly is often cited by papers focused on Bacterial Genetics and Biotechnology (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers) and Retinal Development and Disorders (9 papers). Mary O’Reilly collaborates with scholars based in Ireland, United States and United Kingdom. Mary O’Reilly's co-authors include Barry N. Kreiswirth, Richard P. Novick, Patrick M. Schlievert, M J Betley, Sven Löfdahl, Merlin S. Bergdoll, Timothy J. Foster, P A Recsei, Alexandra Gruss and Kevin M. Devine and has published in prestigious journals such as Nature, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Mary O’Reilly

44 papers receiving 3.4k citations

Hit Papers

The toxic shock syndrome exotoxin structural gene is not ... 1983 2026 1997 2011 1983 1986 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary O’Reilly Ireland 24 2.5k 1.6k 1.0k 385 274 46 3.5k
William L. Kelley Switzerland 37 3.0k 1.2× 1.3k 0.8× 707 0.7× 293 0.8× 180 0.7× 65 4.2k
Frank Ebel Germany 32 1.2k 0.5× 1.7k 1.0× 658 0.6× 395 1.0× 33 0.1× 81 4.3k
G J Boulnois United Kingdom 33 1.1k 0.4× 462 0.3× 615 0.6× 369 1.0× 93 0.3× 54 3.3k
Timothy R. Hirst United Kingdom 37 1.6k 0.6× 673 0.4× 863 0.8× 366 1.0× 47 0.2× 112 4.1k
Alexander von Gabain Austria 42 3.7k 1.5× 858 0.5× 1.9k 1.9× 1.2k 3.2× 213 0.8× 77 5.6k
Stéphane Méresse France 39 1.8k 0.7× 455 0.3× 547 0.5× 653 1.7× 117 0.4× 67 5.2k
Rebecca M. Corrigan United Kingdom 25 2.2k 0.9× 1.4k 0.8× 830 0.8× 456 1.2× 22 0.1× 36 3.3k
Mónica A. Delgado United States 26 1.5k 0.6× 483 0.3× 346 0.3× 142 0.4× 81 0.3× 50 3.7k
Chikara Kaito Japan 26 1.3k 0.5× 701 0.4× 363 0.4× 201 0.5× 111 0.4× 85 2.3k
Richard J. Bennett United States 43 3.3k 1.3× 2.7k 1.6× 596 0.6× 111 0.3× 51 0.2× 128 5.8k

Countries citing papers authored by Mary O’Reilly

Since Specialization
Citations

This map shows the geographic impact of Mary 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 Mary 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 Mary O’Reilly more than expected).

Fields of papers citing papers by Mary O’Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Mary O’Reilly. A scholar is included among the top collaborators of Mary 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 Mary O’Reilly. Mary O’Reilly 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.
O’Reilly, Mary, et al.. (2024). Targeting KRAS mutations in pancreatic cancer: opportunities for future strategies. Frontiers in Medicine. 11. 1369136–1369136. 20 indexed citations
2.
Zaborowski, Alexandra, et al.. (2024). Hormone Receptor Positive Breast Cancer in Young Women: A Review. Journal of Surgical Oncology. 131(4). 580–586.
3.
Chadderton, Naomi, Arpad Palfi, Daniel Maloney, et al.. (2023). Optimisation of AAV-NDI1 Significantly Enhances Its Therapeutic Value for Correcting Retinal Mitochondrial Dysfunction. Pharmaceutics. 15(2). 322–322. 5 indexed citations
4.
Palfi, Arpad, Naomi Chadderton, Mary O’Reilly, et al.. (2015). Efficient gene delivery to photoreceptors using AAV2/rh10 and rescue of the Rho−/− mouse. Molecular Therapy — Methods & Clinical Development. 2. 15016–15016. 19 indexed citations
5.
O’Reilly, Mary & Helen Baron. (2012). Shortlisting for clinical training: An evidence-based, consensus building approach. Clinical Psychology Forum. 1(232). 47–52. 1 indexed citations
6.
Millington‐Ward, Sophia, Naomi Chadderton, Mary O’Reilly, et al.. (2011). Suppression and Replacement Gene Therapy for Autosomal Dominant Disease in a Murine Model of Dominant Retinitis Pigmentosa. Molecular Therapy. 19(4). 642–649. 114 indexed citations
7.
Farrar, G. Jane, Arpad Palfi, Paul F. Kenna, & Mary O’Reilly. (2010). Gene-Based Therapies for Dominant Retinopathies. Current Gene Therapy. 10(5). 381–388. 12 indexed citations
8.
Chadderton, Naomi, Sophia Millington‐Ward, Arpad Palfi, et al.. (2009). Improved Retinal Function in a Mouse Model of Dominant Retinitis Pigmentosa Following AAV-delivered Gene Therapy. Molecular Therapy. 17(4). 593–599. 105 indexed citations
9.
O’Reilly, Mary, Arpad Palfi, Naomi Chadderton, et al.. (2007). RNA Interference–Mediated Suppression and Replacement of Human Rhodopsin In Vivo. The American Journal of Human Genetics. 81(1). 127–135. 143 indexed citations
10.
Kenna, Paul F., Arpad Palfi, Helena McMahon, et al.. (2007). Development of strategies for conditional RNA interference. The Journal of Gene Medicine. 9(4). 287–298. 7 indexed citations
11.
O’Reilly, Mary, Sophia Millington‐Ward, Arpad Palfi, et al.. (2007). A transgenic mouse model for gene therapy of rhodopsin-linked Retinitis Pigmentosa. Vision Research. 48(3). 386–391. 23 indexed citations
12.
Palfi, Arpad, Marius Ader, Anna‐Sophia Kiang, et al.. (2006). RNAi-based suppression and replacement ofrds-peripherin in retinal organotypic culture. Human Mutation. 27(3). 260–268. 42 indexed citations
13.
Kiang, Anna‐Sophia, Arpad Palfi, Marius Ader, et al.. (2005). Toward a Gene Therapy for Dominant Disease: Validation of an RNA Interference-Based Mutation-Independent Approach. Molecular Therapy. 12(3). 555–561. 73 indexed citations
15.
O’Reilly, Mary, Karen Woodson, Barbara C.A. Dowds, & Kevin M. Devine. (1994). The citrulline biosynthetic operon, argC‐F, and a ribose transport operon, rbs, from Bacillus subtilis are negatively regulated by Spo0A. Molecular Microbiology. 11(1). 87–98. 17 indexed citations
16.
O’Reilly, Mary & Kevin M. Devine. (1994). Sequence and analysis of the citrulline biosynthetic operon argC-F from Bacillus subtilis. Microbiology. 140(5). 1023–1025. 21 indexed citations
17.
O’Reilly, Mary, et al.. (1993). The K88 fimbrial adhesin of enterotoxigenic Escherichia coli binds to beta 1-linked galactosyl residues in glycosphingolipids. Infection and Immunity. 61(9). 3673–3677. 44 indexed citations
18.
O’Reilly, Mary, Barry N. Kreiswirth, & Timothy J. Foster. (1990). Cryptic α‐toxin gene in toxic shock syndrome and septicaemia strains of Staphylococcus aureus. Molecular Microbiology. 4(11). 1947–1955. 27 indexed citations
19.
Foster, Timothy J., Mary O’Reilly, Arvind H. Patel, & A.J. Bramley. (1988). Genetic studies of Staphylococcus aureus virulence factors. Antonie van Leeuwenhoek. 54(5). 475–482. 15 indexed citations
20.

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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