Peter McAnena

1.3k citations
21 papers · 460 · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Breast Cancer Treatment Studies
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • HER2/EGFR in Cancer Research

Papers in

    • Breast Cancer Treatment Studies 7
    • MicroRNA in disease regulation 2
    • Cancer-related molecular mechanisms research 2

Peter McAnena

21 papers receiving 447 citations

Peers

Peter McAnena
Comparison fields: 5 of 69
  • Cancer Research 214
  • Oncology 103
  • Radiology, Nuclear Medicine and Imaging 86
  • Health Informatics 4
  • Molecular Biology 150
Replace Luca Russo with:
Luca Russo Italy
Henk-Jan van Slooten Netherlands
Vanessa Heinrich Germany
Xiao‐Qing Pei China
Bo Wei China
Marco Russano Italy
Amelie de Gregorio Germany
Fei Xie China
Philip W. Carrott United States
Peter McAnena relative to Luca Russo Italy Luca Russo's profile →
Citations per field
00.5×3.2×
Luca Russo · 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 201789
2 201966
3 202155
4 201829
5 202122
6 202121
7 201721
8 202121
9 202020
10 202219
11 201515
12 202114
13 202014
14 201813
15 202210
16 202110
17 20219
18 20214
19 20194
20 20223

About Peter McAnena

Peter McAnena is a scholar working on Cancer Research, Surgery, Pathology and Forensic Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 460 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Breast Lesions and Carcinomas (5 papers), HER2/EGFR in Cancer Research (4 papers), MRI in cancer diagnosis (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), MicroRNA in disease regulation (2 papers), Medical Imaging Techniques and Applications (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (214 citations), Oncology (103 citations), Radiology, Nuclear Medicine and Imaging (86 citations), Health Informatics (4 citations) and Molecular Biology (150 citations). Peter McAnena has collaborated with scholars based in Ireland, Canada and United States. Frequent co-authors include Michael J. Kerin, James A. L. Brown, Aoïfe Lowery, Catherine Curran, Brian Moloney, Matthew G. Davey, Jane E. Freedman, Kahraman Tanrıverdi, Katie Gilligan and Sami Abd Elwahab. Their work appears in journals such as BMC Cancer, The Surgeon, BJS Open, Academic 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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