Don Conroy

7.0k citations
5 papers · 338 · h-index 5

Impact in

Papers in

    • BRCA gene mutations in cancer 3
    • Genetic Associations and Epidemiology 3
    • Epigenetics and DNA Methylation 2
    • Cancer-related gene regulation 1
    • Bioinformatics and Genomic Networks 1

Don Conroy

5 papers receiving 330 citations

Peers

Don Conroy
Comparison fields: 5 of 55
  • Cancer Research 79
  • Radiology, Nuclear Medicine and Imaging 115
  • Radiation 31
  • Otorhinolaryngology 15
  • Genetics 89
Replace Shahin Shajahan with:
Shahin Shajahan United States
Marge Ewertz United States
Ana M. Carballo Spain
Yangki Seok South Korea
Fredrika Killander Sweden
Jacek Skoczylas Poland
Joanne Jang United States
Tse-Kuan Yu United States
Tatsuji Mizukami Japan
Kevin Schulte Germany
Don Conroy relative to Shahin Shajahan United States Shahin Shajahan's profile →
Citations per field
00.5×
Shahin Shajahan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Don Conroy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Don Conroy Line = papers co-authored together Don Conroy links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2011160
2 200675
3 201762
4 200634
5 20197

About Don Conroy

Don Conroy is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 338 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (3 papers), Genetic Associations and Epidemiology (3 papers), Epigenetics and DNA Methylation (2 papers), Cancer-related gene regulation (1 paper), Advanced Radiotherapy Techniques (1 paper), Effects of Radiation Exposure (1 paper), Bioinformatics and Genomic Networks (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Cancer Research (79 citations), Radiology, Nuclear Medicine and Imaging (115 citations), Radiation (31 citations), Otorhinolaryngology (15 citations) and Genetics (89 citations). Don Conroy has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Paul D.P. Pharoah, Alison M. Dunning, Douglas F. Easton, Craig Luccarini, Robert Luben, Caroline Baynes, Shahana Ahmed, Paula Smith, Rebecca Elliott and Vivek Misra. Their work appears in journals such as Carcinogenesis, British Journal of Cancer, Cancer Epidemiology Biomarkers & Prevention, Journal of Medical Genetics and The Lancet Oncology.

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.

Explore authors with similar magnitude of impact