Martin O’Reilly

1.3k total citations
10 papers, 553 citations indexed

About

Martin O’Reilly is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Martin O’Reilly has authored 10 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Martin O’Reilly's work include Epigenetics and DNA Methylation (4 papers), Genomics and Chromatin Dynamics (3 papers) and Genetic Syndromes and Imprinting (2 papers). Martin O’Reilly is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Genomics and Chromatin Dynamics (3 papers) and Genetic Syndromes and Imprinting (2 papers). Martin O’Reilly collaborates with scholars based in United Kingdom, Italy and Malaysia. Martin O’Reilly's co-authors include Kerstin B. Meyer, Carlos Caldas, Ana-Teresa Maia, Bruce A.J. Ponder, Suet‐Feung Chin, Andrew E. Teschendorff, Bruce A.J. Ponder, Florian Markowetz, Inês de Santiago and Mauro A. A. Castro and has published in prestigious journals such as Nature Communications, Cancer Research and Scientific Reports.

In The Last Decade

Martin O’Reilly

10 papers receiving 546 citations

Peers

Martin O’Reilly

MB

CR

GENET

PRM

ONCOL

Anthony R. Dallosso United Kingdom

Tomoatsu Hayashi Japan

William A. Scaringe United States

Nienke J.H. van Os Netherlands

Yu Gyoung Tak United States

Jana Paděrová Canada

Iker Sánchez‐Navarro Spain

Elisa Lavarone Italy

Yoko Sekita Japan

Nora Shannon United Kingdom

Anthony R. Dallosso United Kingdom

Martin O’Reilly

492 ×1.2

MB

119 ×0.7

CR

130 ×0.8

GENET

66 ×0.9

PRM

63 ×1.0

ONCOL

Citations per year, relative to Martin O’Reilly Martin O’Reilly (= 1×) peers Anthony R. Dallosso

Countries citing papers authored by Martin O’Reilly

Since Specialization

Citations

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

Fields of papers citing papers by Martin O’Reilly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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10 of 10 papers shown

1.

Giorgi, Federico M., Rory Stark, Amanda Stone, et al.. (2024). Smoking-associated gene expression alterations in nasal epithelium reveal immune impairment linked to lung cancer risk. Genome Medicine. 16(1). 54–54. 6 indexed citations

2.

Xavier, Joana M., Roslin Russell, Bernardo P. de Almeida, et al.. (2024). Identification of candidate causal variants and target genes at 41 breast cancer risk loci through differential allelic expression analysis. Scientific Reports. 14(1). 22526–22526. 2 indexed citations

3.

Vowinckel, Jakob, Yuehan Feng, Dimitra Georgopoulou, et al.. (2020). Abstract 4077: Quantitative proteomics reveals novel immunomodulatory pathways of resistance to PARP therapy. Cancer Research. 80(16_Supplement). 4077–4077. 1 indexed citations

4.

Paz-Elizur, Tamar, Yael Leitner‐Dagan, Kerstin B. Meyer, et al.. (2019). DNA Repair Biomarker for Lung Cancer Risk and its Correlation With Airway Cells Gene Expression. JNCI Cancer Spectrum. 4(1). pkz067–pkz067. 11 indexed citations

5.

Santiago, Inês de, Wei Liu, Ke Yuan, et al.. (2017). BaalChIP: Bayesian analysis of allele-specific transcription factor binding in cancer genomes. Genome biology. 18(1). 39–39. 19 indexed citations

6.

Fletcher, Michael, Mauro A. A. Castro, Xin Wang, et al.. (2013). Master regulators of FGFR2 signalling and breast cancer risk. Nature Communications. 4(1). 2464–2464. 154 indexed citations

7.

Meyer, Kerstin B., Ana-Teresa Maia, Martin O’Reilly, et al.. (2011). A Functional Variant at a Prostate Cancer Predisposition Locus at 8q24 Is Associated with PVT1 Expression. PLoS Genetics. 7(7). e1002165–e1002165. 123 indexed citations

8.

Maia, Ana-Teresa, Inmaculada Spiteri, Alvin Lee, et al.. (2009). Extent of differential allelic expression of candidate breast cancer genes is similar in blood and breast. Breast Cancer Research. 11(6). R88–R88. 26 indexed citations

9.

Meyer, Kerstin B., Ana-Teresa Maia, Martin O’Reilly, et al.. (2008). Allele-Specific Up-Regulation of FGFR2 Increases Susceptibility to Breast Cancer. PLoS Biology. 6(5). e108–e108. 210 indexed citations

10.

Shibuya, Kazunori, Ritsuko Komaki, Takashi Shintani, et al.. (2005). Combined blockade of VEGFR and EGFR with ZD6474 enhances the antitumor and antivascular effects of radiation therapy in an orthotopic mouse model of human lung cancer. Cancer Research. 65. 1371–1371. 1 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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