Peter McAnena

1.3k citations
21 papers · 476 · 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 463 citations

Peers

Peter McAnena
Comparison fields: 5 of 64
  • Cancer Research 191
  • Radiology, Nuclear Medicine and Imaging 58
  • Oncology 50
  • Molecular Biology 131
  • Pulmonary and Respiratory Medicine 48
Replace Alexandre Kaliski with:
Alexandre Kaliski France
Fei Xie China
Barbara M. Zonderhuis Netherlands
Xiao‐Qing Pei China
Chuangzhen Chen China
Marie‐Jeanne Vrancken Peeters Netherlands
Mariël Brinkhuis Netherlands
Iris Blume Switzerland
In Ae Park South Korea
Peter McAnena relative to Alexandre Kaliski France Alexandre Kaliski's profile →
Citations per field
00.5×6.5×
Alexandre Kaliski · 1×
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 201791
2 201968
3 202157
4 201829
5 202122
6 202122
7 202021
8 201721
9 202121
10 202221
11 201516
12 202015
13 201814
14 202114
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 476 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 (191 citations), Radiology, Nuclear Medicine and Imaging (58 citations), Oncology (50 citations), Molecular Biology (131 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 Éanna J. Ryan. Their work appears in journals such as The Surgeon, BMC Cancer, The Breast Journal, British Journal of Radiology and Surgical 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.

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