Peter McAnena

1.3k citations
21 papers · 493 · h-index 14

Impact in

Papers in

    • Breast Cancer Treatment Studies 6
    • Cancer Genomics and Diagnostics 2
    • MicroRNA in disease regulation 1
    • Surgical Simulation and Training 1

Peter McAnena

21 papers receiving 473 citations

Peers

Peter McAnena
Comparison fields: 5 of 66
  • Cancer Research 200
  • Radiology, Nuclear Medicine and Imaging 61
  • Molecular Biology 143
  • Oncology 51
  • Pulmonary and Respiratory Medicine 48
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Fei Xie China
Xiao‐Qing Pei China
Alexandre Kaliski France
Luca Russo Italy
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Barbara M. Zonderhuis Netherlands
Imogen Locke United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Peter McAnena

Since Specialization
Citations

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

Fields of papers citing papers by Peter McAnena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter McAnena, 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 Peter McAnena Line = papers co-authored together Peter McAnena links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201796
2 201972
3 202160
4 201829
5 202123
6 202123
7 202122
8 202021
9 201721
10 202221
11 201516
12 201815
13 202115
14 202015
15 202211
16 202111
17 20219
18 20195
19 20214
20 20223

About Peter McAnena

Peter McAnena is a scholar working on Cancer Research, Surgery, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Molecular Biology, having authored 21 papers that have together received 493 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer Genomics and Diagnostics (2 papers), Microwave Imaging and Scattering Analysis (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Genomics and Chromatin Dynamics (1 paper), MicroRNA in disease regulation (1 paper) and Surgical Simulation and Training (1 paper). The work is most often cited by research in Cancer Research (200 citations), Radiology, Nuclear Medicine and Imaging (61 citations), Molecular Biology (143 citations), Oncology (51 citations) and Pulmonary and Respiratory Medicine (48 citations). Peter McAnena has collaborated with scholars based in Ireland, United States and Canada. Frequent co-authors include Michael J. Kerin, James A. L. Brown, Aoïfe Lowery, Catherine Curran, Brian Moloney, Matthew G. Davey, Katie Gilligan, Kahraman Tanrıverdi, Jane E. Freedman and Sami Abd Elwahab. Their work appears in journals such as The Surgeon, BMC Cancer, British Journal of Radiology, Academic Radiology and The Breast.

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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