Michael Mac Manus

1.3k citations
22 papers · 998 · h-index 14

Impact in

Papers in

Michael Mac Manus

22 papers receiving 968 citations

Peers

Michael Mac Manus
Comparison fields: 5 of 65
  • Radiation 126
  • Radiology, Nuclear Medicine and Imaging 271
  • Oncology 273
  • Pulmonary and Respiratory Medicine 272
  • Pathology and Forensic Medicine 125
Replace Silvia CAMMELLI with:
Silvia CAMMELLI Italy
Jackson H. Cundiff United States
Shikha Goyal India
Melvyn P. Richter United States
Stefan Adrian Vöö Netherlands
Peter Bliss United Kingdom
E Robinson Israel
Gianluca Ferini Italy
James B. Butler Canada
Stéphanie Lamart France
Michael Mac Manus relative to Silvia CAMMELLI Italy Silvia CAMMELLI's profile →
Citations per field
00.5×2×2.5×
Silvia CAMMELLI · 1×
Citations per year

Countries citing papers authored by Michael Mac Manus

Since Specialization
Citations

This map shows the geographic impact of Michael 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 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 Mac Manus more than expected).

Fields of papers citing papers by Michael Mac Manus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010152
2 2010121
3 2005115
4 201893
5 200983
6 200282
7 199781
8 201343
9 198843
10 202140
11 200837
12 201728
13 200618
14 200914
15 200710
16 20069
17 20218
18 20018
19 20175
20 20014

About Michael Mac Manus

Michael Mac Manus is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Radiation, Oncology and Pathology and Forensic Medicine, having authored 22 papers that have together received 998 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (12 papers), Medical Imaging Techniques and Applications (6 papers), Advanced Radiotherapy Techniques (4 papers), Lung Cancer Treatments and Mutations (3 papers), Lung Cancer Research Studies (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Effects of Radiation Exposure (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Radiation (126 citations), Radiology, Nuclear Medicine and Imaging (271 citations), Oncology (273 citations), Pulmonary and Respiratory Medicine (272 citations) and Pathology and Forensic Medicine (125 citations). Michael Mac Manus has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include David Ball, Rodney John Hicks, Alan Herschtal, Sarah Everitt, David Binns, Andrew Wirth, Richard Fisher, Deborah L. Gregory, Jason Callahan and Alison L. Stillie. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Thoracic Oncology, Blood, Lung Cancer 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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