Patrick C. O’Leary

719 total citations
9 papers, 134 citations indexed

About

Patrick C. O’Leary is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Patrick C. O’Leary has authored 9 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Genetics. Recurrent topics in Patrick C. O’Leary's work include PARP inhibition in cancer therapy (4 papers), CRISPR and Genetic Engineering (3 papers) and DNA Repair Mechanisms (2 papers). Patrick C. O’Leary is often cited by papers focused on PARP inhibition in cancer therapy (4 papers), CRISPR and Genetic Engineering (3 papers) and DNA Repair Mechanisms (2 papers). Patrick C. O’Leary collaborates with scholars based in United States, Ireland and Poland. Patrick C. O’Leary's co-authors include Morgan E. Diolaiti, Alan Ashworth, Radosław Zagożdżon, Agnieszka Zagożdżon, Małgorzata Bajor, Angelika Muchowicz, Minkyu Kim, Marta Siernicka, Agnieszka Graczyk‐Jarzynka and Jakub Gołąb and has published in prestigious journals such as Cancer Research, British Journal of Cancer and PLoS Pathogens.

In The Last Decade

Patrick C. O’Leary

9 papers receiving 133 citations

Peers

Patrick C. O’Leary

MB

ONCOL

IMMUN

CR

PRM

Joon Sung Park South Korea

Sudha Moparthy United States

Jingxuan He China

Amudha L. Venugopal Canada

Phaedra C. Ghazi United States

Nathan Snyder United States

George J. Delinasios Greece

Bonnie Le United States

Michael T. Ouellette United States

Debajyoti Datta India

Joon Sung Park South Korea

Patrick C. O’Leary

95 ×1.1

MB

43 ×0.9

ONCOL

17 ×1.0

IMMUN

18 ×1.1

CR

11 ×1.0

PRM

Citations per year, relative to Patrick C. O’Leary Patrick C. O’Leary (= 1×) peers Joon Sung Park

Countries citing papers authored by Patrick C. O’Leary

Since Specialization

Citations

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

Fields of papers citing papers by Patrick C. O’Leary

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick C. O’Leary

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

All Works

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9 of 9 papers shown

1.

Chen, Huadong, et al.. (2024). PARP7 Inhibitors and AHR Agonists Act Synergistically across a Wide Range of Cancer Models. Molecular Cancer Therapeutics. 24(1). 56–68. 6 indexed citations

2.

Badura, Michelle L., Patrick C. O’Leary, Troy M. Robinson, et al.. (2024). Transcription and DNA replication collisions lead to large tandem duplications and expose targetable therapeutic vulnerabilities in cancer. Nature Cancer. 5(12). 1885–1901. 4 indexed citations

3.

Taha, Taha Y., Rahul K. Suryawanshi, Irene P. Chen, et al.. (2023). A single inactivating amino acid change in the SARS-CoV-2 NSP3 Mac1 domain attenuates viral replication in vivo. PLoS Pathogens. 19(8). e1011614–e1011614. 11 indexed citations

4.

Chen, Huadong, Morgan E. Diolaiti, Patrick C. O’Leary, et al.. (2022). A Whole-Genome CRISPR Screen Identifies AHR Loss as a Mechanism of Resistance to a PARP7 Inhibitor. Molecular Cancer Therapeutics. 21(7). 1076–1089. 17 indexed citations

5.

O’Leary, Patrick C., Huadong Chen, Benjamin J. Polacco, et al.. (2022). Resistance to ATR Inhibitors Is Mediated by Loss of the Nonsense-Mediated Decay Factor UPF2. Cancer Research. 82(21). 3950–3961. 17 indexed citations

6.

Bajor, Małgorzata, Agnieszka Graczyk‐Jarzynka, Angelika Muchowicz, et al.. (2018). Targeting peroxiredoxin 1 impairs growth of breast cancer cells and potently sensitises these cells to prooxidant agents. British Journal of Cancer. 119(7). 873–884. 54 indexed citations

7.

Bajor, Małgorzata, et al.. (2015). Abstract P5-07-09: Adenanthin, a new peroxiredoxin inhibitor, induces a switch between estrogen receptor alpha-mediated and Src/Akt-driven signaling in breast cancer cells. Cancer Research. 75(9_Supplement). P5–7. 2 indexed citations

8.

Zagożdżon, Agnieszka, Patrick C. O’Leary, John J. Callanan, et al.. (2012). Generation of a new bioluminescent model for visualisation of mammary tumour development in transgenic mice. BMC Cancer. 12(1). 209–209. 7 indexed citations

9.

Rafferty, Máirín, Shauna Hegarty, Patrick C. O’Leary, et al.. (2010). Topoisomerase I amplification in melanoma is associated with more advanced tumours and poor prognosis. Pigment Cell & Melanoma Research. 23(4). 542–553. 16 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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