Peter M. MacEneaney

51 papers receiving 1.7k citations

Peers

Peter M. MacEneaney
Comparison fields: 5 of 82
  • Oncology 395
  • Cardiology and Cardiovascular Medicine 402
  • Radiology, Nuclear Medicine and Imaging 365
  • Health Informatics 24
  • Physiology 218
Replace Matthias Hammon with:
Matthias Hammon Germany
Tae Iwasawa Japan
Judd E. Reed United States
Jimi Huh South Korea
JoRean D. Sicks United States
Brage Høyem Amundsen Norway
Bin Lü China
Nicola H. Strickland United Kingdom
Nuno Bettencourt Portugal
Constantinus F. M. Buckens Netherlands
Peter M. MacEneaney relative to Matthias Hammon Germany Matthias Hammon's profile →
Citations per field
00.5×2×4×6.8×
Matthias Hammon · 1×
Citations per year

Countries citing papers authored by Peter M. MacEneaney

Since Specialization
Citations

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

Fields of papers citing papers by Peter M. MacEneaney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004235
2 2002195
3 2005195
4 2002127
5 201791
6 201489
7 201687
8 200068
9 200162
10 200255
11 200150
12 200342
13 201541
14 200437
15 200332
16 201030
17 200226
18 200022
19 200320
20 200420

About Peter M. MacEneaney

Peter M. MacEneaney is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Statistics, Probability and Uncertainty, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (8 papers), Cardiac Imaging and Diagnostics (6 papers), Medical Image Segmentation Techniques (6 papers), Nutrition and Health in Aging (4 papers), Cardiovascular Function and Risk Factors (4 papers), Meta-analysis and systematic reviews (3 papers), Health Sciences Research and Education (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Oncology (395 citations), Cardiology and Cardiovascular Medicine (402 citations), Radiology, Nuclear Medicine and Imaging (365 citations), Health Informatics (24 citations) and Physiology (218 citations). Peter M. MacEneaney has collaborated with scholars based in United States, Ireland and Italy. Frequent co-authors include Abraham H. Dachman, Hiroyuki Yoshida, Dermot E. Malone, Victor Mor‐Avi, Roberto Miguel Lang, David T. Rubin, Enrico Gianluca Caiani, Lynn Weinert, Yoshitaka Masutani and Janne J. Näppi. Their work appears in journals such as Clinical Radiology, Radiology, Journal of Cardiovascular Magnetic Resonance, Gastroenterology Clinics of North America and Journal of Magnetic Resonance Imaging.

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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