Tom Sutherland

1.5k citations
81 papers · 907 · h-index 18

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Neurology top 10%
    • CNS Lymphoma Diagnosis and Treatment

Papers in

Tom Sutherland

71 papers receiving 886 citations

Peers

Tom Sutherland
Comparison fields: 5 of 71
  • Hepatology 64
  • Neurology 121
  • Genetics 73
  • Rheumatology 96
  • Epidemiology 209
Replace Katashi Satoh with:
Katashi Satoh Japan
Edgardo J. Angtuaco United States
Manisha Jana India
Y. L. Chan China
Nicola Maggialetti Italy
Ajaykumar C. Morani United States
Sellam Karunanithi India
J. Rosas Spain
Yusuke Iizuka Japan
Paul J. Rochon United States
Tom Sutherland relative to Katashi Satoh Japan Katashi Satoh's profile →
Citations per field
00.5×9.7×
Katashi Satoh · 1×
Citations per year

Countries citing papers authored by Tom Sutherland

Since Specialization
Citations

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

Fields of papers citing papers by Tom Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014143
2 201362
3 201744
4 201643
5 202139
6 201233
7 201930
8 202125
9 201724
10 202124
11 201923
12 201222
13 201220
14 201919
15 201718
16 201118
17 201118
18 201517
19 202116
20 201315

About Tom Sutherland

Tom Sutherland is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Epidemiology and Oncology, having authored 81 papers that have together received 907 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (9 papers), Prostate Cancer Treatment and Research (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Inflammatory Bowel Disease (6 papers), Bariatric Surgery and Outcomes (5 papers), Urologic and reproductive health conditions (4 papers), MRI in cancer diagnosis (4 papers) and Abdominal Trauma and Injuries (4 papers). The work is most often cited by research in Hepatology (64 citations), Neurology (121 citations), Genetics (73 citations), Rheumatology (96 citations) and Epidemiology (209 citations). Tom Sutherland has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Nicholas Trost, Peter Brotchie, Warrick J. Inder, Lih‐Ming Wong, Oliver Hennessy, Kim Taubman, Chris O’Donnell, Adrian Fox, Andrew F. Little and Penelope McKelvie. Their work appears in journals such as Insights into Imaging, ANZ Journal of Surgery, British Journal of Urology, Journal of Medical Imaging and Radiation Oncology and European Journal of Nuclear Medicine and Molecular 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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