Don Conroy

7.0k total citations
5 papers, 338 citations indexed

About

Don Conroy is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Don Conroy has authored 5 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 2 papers in Molecular Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Don Conroy's work include Genetic Associations and Epidemiology (3 papers), BRCA gene mutations in cancer (3 papers) and Epigenetics and DNA Methylation (2 papers). Don Conroy is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), BRCA gene mutations in cancer (3 papers) and Epigenetics and DNA Methylation (2 papers). Don Conroy collaborates with scholars based in United Kingdom, United States and Switzerland. Don Conroy's co-authors include Paul D.P. Pharoah, Alison M. Dunning, Robert Luben, Douglas F. Easton, Craig Luccarini, Caroline Baynes, Shahana Ahmed, Paula Smith, Rebecca Elliott and Matthew R. Sydes and has published in prestigious journals such as The Lancet Oncology, British Journal of Cancer and Carcinogenesis.

In The Last Decade

Don Conroy

5 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Don Conroy United Kingdom	5	176	115	91	89	79	5	338
Shahin Shajahan United States	7	103 0.6×	107 0.9×	129 1.4×	40 0.4×	44 0.6×	9	316
Ana M. Carballo Spain	7	67 0.4×	99 0.9×	107 1.2×	22 0.2×	39 0.5×	13	216
Marge Ewertz United States	5	85 0.5×	117 1.0×	38 0.4×	67 0.8×	45 0.6×	8	481
Fredrika Killander Sweden	12	54 0.3×	63 0.5×	73 0.8×	46 0.5×	240 3.0×	25	411
Yangki Seok South Korea	13	95 0.5×	68 0.6×	278 3.1×	21 0.2×	64 0.8×	41	446
Andrea Marshall United Kingdom	9	51 0.3×	134 1.2×	163 1.8×	45 0.5×	241 3.1×	21	415
Kevin Schulte Germany	4	77 0.4×	49 0.4×	65 0.7×	27 0.3×	85 1.1×	4	246
Joanne Jang United States	8	119 0.7×	24 0.2×	81 0.9×	25 0.3×	46 0.6×	20	315
Valérie Delecroix France	6	58 0.3×	200 1.7×	61 0.7×	18 0.2×	134 1.7×	12	341
Hélène Dreyfus France	8	72 0.4×	21 0.2×	32 0.4×	162 1.8×	200 2.5×	14	341

Countries citing papers authored by Don Conroy

Since Specialization

Citations

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

Fields of papers citing papers by Don Conroy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don Conroy. 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 Don Conroy. The network helps show where Don Conroy may publish in the future.

Co-authorship network of co-authors of Don Conroy

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

All Works

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5 of 5 papers shown

1.

Decker, Brennan, Jamie Allen, Craig Luccarini, et al.. (2019). Targeted Resequencing of the Coding Sequence of 38 Genes Near Breast Cancer GWAS Loci in a Large Case–Control Study. Cancer Epidemiology Biomarkers & Prevention. 28(4). 822–825. 7 indexed citations

2.

Decker, Brennan, Jamie Allen, Craig Luccarini, et al.. (2017). Rare, protein-truncating variants in ATM, CHEK2 and PALB2, but not XRCC2, are associated with increased breast cancer risks. Journal of Medical Genetics. 54(11). 732–741. 62 indexed citations

3.

Barnett, Gillian C., Charlotte E. Coles, Rebecca Elliott, et al.. (2011). Independent validation of genes and polymorphisms reported to be associated with radiation toxicity: a prospective analysis study. The Lancet Oncology. 13(1). 65–77. 160 indexed citations

4.

Cebrián, Arancha, Paul D.P. Pharoah, Shahana Ahmed, et al.. (2006). Genetic variants in epigenetic genes and breast cancer risk. Carcinogenesis. 27(8). 1661–1669. 75 indexed citations

5.

Benusiglio, Patrick R., Paul D.P. Pharoah, Paula Smith, et al.. (2006). HapMap-based study of the 17q21 ERBB2 amplicon in susceptibility to breast cancer. British Journal of Cancer. 95(12). 1689–1695. 34 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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