Peter Donnelly

939 total citations
3 papers, 123 citations indexed

About

Peter Donnelly is a scholar working on Genetics, Cancer Research and Surgery. According to data from OpenAlex, Peter Donnelly has authored 3 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 2 papers in Cancer Research and 1 paper in Surgery. Recurrent topics in Peter Donnelly's work include Cancer Genomics and Diagnostics (2 papers), Genetic Associations and Epidemiology (2 papers) and Lipoproteins and Cardiovascular Health (1 paper). Peter Donnelly is often cited by papers focused on Cancer Genomics and Diagnostics (2 papers), Genetic Associations and Epidemiology (2 papers) and Lipoproteins and Cardiovascular Health (1 paper). Peter Donnelly collaborates with scholars based in United Kingdom, United States and Qatar. Peter Donnelly's co-authors include Robert Hinch, Anjali Gupta Hinch, Jack W. O’Sullivan, Rachel Moore, Ayden Saffari, Fernando Riveros-Mckay, Eva Krapohl, Julia Hippisley–Cox, John Deanfield and Peter Sørensen and has published in prestigious journals such as Science, Nature Genetics and Circulation Genomic and Precision Medicine.

In The Last Decade

Peter Donnelly

3 papers receiving 119 citations

Peers

Peter Donnelly
Lisa D.S. Bloomer United Kingdom
Paolo Di Domenico United States
Timothy D. Majarian United States
Jason Schairer United States
Sara Caylor United States
Gail P. Jarvik United States
Lisa D.S. Bloomer United Kingdom
Peter Donnelly
Citations per year, relative to Peter Donnelly Peter Donnelly (= 1×) peers Lisa D.S. Bloomer

Countries citing papers authored by Peter Donnelly

Since Specialization
Citations

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

Fields of papers citing papers by Peter Donnelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Donnelly

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

All Works

3 of 3 papers shown
1.
Hinch, Robert, Peter Donnelly, & Anjali Gupta Hinch. (2023). Meiotic DNA breaks drive multifaceted mutagenesis in the human germ line. Science. 382(6674). eadh2531–eadh2531. 20 indexed citations
2.
Riveros-Mckay, Fernando, Michael E. Weale, Rachel Moore, et al.. (2021). Integrated Polygenic Tool Substantially Enhances Coronary Artery Disease Prediction. Circulation Genomic and Precision Medicine. 14(2). e003304–e003304. 96 indexed citations
3.
Marchini, Jonathan, Lon R. Cardon, Michael Phillips, & Peter Donnelly. (2004). Reply to "Genomic Control to the extreme". Nature Genetics. 36(11). 1131–1131. 7 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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