Michael P. Mac Manus

2.5k citations
34 papers · 1.8k indexed · h-index 18

Impact in

Papers in

Michael P. Mac Manus

33 papers receiving 1.8k citations

Peers

Michael P. Mac Manus
Comparison fields: 5 of 57
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Radiation 354
  • Pulmonary and Respiratory Medicine 1.1k
  • Pathology and Forensic Medicine 361
  • Oncology 450
Replace Dany Grahek with:
Dany Grahek France
Isabel Syndikus United Kingdom
John T. Chaffey United States
Joseph C. Poen United States
Karen L. Lindsley United States
O. S. Hoekstra Netherlands
Anne Devillers France
Fran Laurie United States
Michel Schlienger France
Joseph M. Jenrette United States
Michael P. Mac Manus relative to Dany Grahek France Dany Grahek's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael P. Mac Manus

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Mac Manus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Mac Manus. 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 Michael P. Mac Manus. The network helps show where Michael P. Mac Manus may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201915
2 201339
3 201235
4 201258
5 200848
6 200713
7 20061
8 200621
9 200553
10 2005120
11 200414
12 2004123
13 200328
14 2001166
15 2001219
16 200017
17 199818
18 1996271
19 199514
20 199322

About Michael P. Mac Manus

Michael P. Mac Manus is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Pulmonary and Respiratory Medicine, Otorhinolaryngology and Pathology and Forensic Medicine, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (19 papers), Medical Imaging Techniques and Applications (16 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Advanced Radiotherapy Techniques (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Lung Cancer Treatments and Mutations (5 papers), Viral-associated cancers and disorders (3 papers) and CNS Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Radiation (354 citations), Pulmonary and Respiratory Medicine (1.1k citations), Pathology and Forensic Medicine (361 citations) and Oncology (450 citations). Michael P. Mac Manus has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Rodney J. Hicks, David Ball, Richard T. Hoppe, Jane Matthews, Danny Rischin, Andrew Wirth, Eeva Salminen, Annette Hogg, A. W. McKENZIE and David Binns. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Cancer, Seminars in Nuclear Medicine, Journal of Nuclear Medicine and Journal of Clinical 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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