Andrew Scarsbrook

4.9k citations
164 papers · 3.1k indexed · h-index 31
Topics
Radiomics and Machine Learning in Medical Imaging (65 papers)Medical Imaging Techniques and Applications (48 papers)Head and Neck Cancer Studies (18 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaEndocrine Reviews

In The Last Decade

Andrew Scarsbrook

151 papers receiving 3.0k citations

Peers

Andrew Scarsbrook
Comparison fields: 5 of 138
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Pulmonary and Respiratory Medicine 901
  • Surgery 890
  • Oncology 567
  • Epidemiology 341
Replace Masayuki Kanematsu with:
Masayuki Kanematsu Japan
Dushyant V. Sahani United States
Andrew Quon United States
Michael T. Jaklitsch United States
Junting Zheng United States
Ur Metser Canada
Takao Hiraki Japan
Venkatesh Rangarajan India
Raymond H. Thornton United States
Marta E. Heilbrun United States
Andrew Scarsbrook relative to Masayuki Kanematsu Japan Masayuki Kanematsu's profile →
Citations per field
00.5×
Masayuki Kanematsu · 1×
Citations per year

Countries citing papers authored by Andrew Scarsbrook

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Scarsbrook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Scarsbrook. 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 Andrew Scarsbrook. The network helps show where Andrew Scarsbrook may publish in the future.

Co-authorship network of co-authors of Andrew Scarsbrook

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Scarsbrook. A scholar is included among the top collaborators of Andrew Scarsbrook based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew Scarsbrook. Andrew Scarsbrook is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 2
4 3
5 1
6 0
7 1
8 2
9 1
10 33
11
2
12 1
13 5
14 6
15 6
16 164
17 2
18 15
19 8
20 22

About Andrew Scarsbrook

Andrew Scarsbrook is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 164 papers that have together received 3.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (65 papers), Medical Imaging Techniques and Applications (48 papers) and Head and Neck Cancer Studies (18 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Otorhinolaryngology (254 citations) and Internal Medicine (108 citations). Andrew Scarsbrook has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include F.U. Chowdhury, Chirag N. Patel, Sriram Vaidyanathan, Robin Prestwich, Richard Graham, Kevin M. Bradley, Russell Frood, Fergus Gleeson, Chirag Patel and Mark Lansdown. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Endocrine Reviews.

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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