Paul G. O’Reilly

1.5k total citations
51 papers, 1.0k citations indexed

About

Paul G. O’Reilly is a scholar working on Molecular Biology, Oncology and Artificial Intelligence. According to data from OpenAlex, Paul G. O’Reilly has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Oncology and 12 papers in Artificial Intelligence. Recurrent topics in Paul G. O’Reilly's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Paul G. O’Reilly is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Paul G. O’Reilly collaborates with scholars based in United Kingdom, Canada and United States. Paul G. O’Reilly's co-authors include Luc A. Sabourin, Darragh G. McArt, Simona Wagner, Manuel Salto‐Tellez, Philip D. Dunne, Peter Hamilton, Ahmed Serag, Jim Diamond, Adrian Ion‐Mărgineanu and Hammad Qureshi and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cancer Research.

In The Last Decade

Paul G. O’Reilly

47 papers receiving 1.0k citations

Peers

Paul G. O’Reilly
Comparison fields: 5 of 122
  • Molecular Biology 364
  • Oncology 286
  • Artificial Intelligence 162
  • Cancer Research 150
  • Cell Biology 139
Replace Sung‐Young Shin with:
Sung‐Young Shin South Korea
Stephanie Robertson Sweden
Mitsuaki Akiyama Japan
Antonia Charchanti Greece
Robin Edwards United States
Pierre Gestraud France
Panagiota Ravazoula Greece
José A. Seoane Spain
Asha Das United States
Fredrik Erlandsson Sweden
Sung‐Young Shin South Korea View profile →
Citations per field, relative to Paul G. O’Reilly
Paul G. O’Reilly · 1×
Citations per year, relative to Paul G. O’Reilly
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Countries citing papers authored by Paul G. O’Reilly

Since Specialization
Citations

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

Fields of papers citing papers by Paul G. O’Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul G. O’Reilly

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 17
4 7
5 0
6 6
7 14
8 6
9 168
10 53
11 21
12 31
13 103
14 25
15 6
16 3
17 10
18 34
19 47
20 22

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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