Tom Riley

1.7k citations
15 papers · 1.1k · 2 hit papers · h-index 7

Impact in

Papers in

Tom Riley

13 papers receiving 1.1k citations

Tom Riley's Hit Papers

Targeting of Low-Dose CT Screening According to the Risk of Lung-Cancer Death 2013 · 383 citations
3830+4+8Years since publication200400600

Peers

Tom Riley
Comparison fields: 5 of 65
  • Pulmonary and Respiratory Medicine 747
  • Radiology, Nuclear Medicine and Imaging 193
  • Oncology 181
  • Otorhinolaryngology 21
  • Cancer Research 38
Replace Umberto Cariboni with:
Umberto Cariboni Italy
Robert T. Dess United States
Suki Gill Australia
Ian Woolhouse United Kingdom
Thomas L. Riley United States
J. Van Dam United States
Wiel Geraedts Netherlands
Fang‐I Chu United States
Jeremy Gorelick United States
Keen Hun Tai Australia
Tom Riley relative to Umberto Cariboni Italy Umberto Cariboni's profile →
Citations per field
00.5×3.7×
Umberto Cariboni · 1×
Citations per year

Countries citing papers authored by Tom Riley

Since Specialization
Citations

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

Fields of papers citing papers by Tom Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Selection Criteria for Lung-Cancer Screening
Hit paper breakdown →
2013652
2
Targeting of Low-Dose CT Screening According to the Risk of Lung-Cancer Death
Hit paper breakdown →
2013383
3 201528
4 20139
5 20108
6 20177
7 20117
8 20145
9 20225
10 20155
11 20153
12 20173
13 20131
14 20250
15 20150

About Tom Riley

Tom Riley is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Colorectal Cancer Screening and Detection (2 papers), Esophageal Cancer Research and Treatment (2 papers), Prostate Cancer Treatment and Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Hepatitis B Virus Studies (1 paper) and Pericarditis and Cardiac Tamponade (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (747 citations), Radiology, Nuclear Medicine and Imaging (193 citations), Oncology (181 citations), Otorhinolaryngology (21 citations) and Cancer Research (38 citations). Tom Riley has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Martin C. Tammemägi, Christine D. Berg, Neil E. Caporaso, Anil K. Chaturvedi, Gerard A. Silvestri, Hormuzd A. Katki, William G. Hocking, Paul A. Kvale, John Commins and Timothy R. Church. Their work appears in journals such as Reviews on Recent Clinical Trials, Journal of Clinical Oncology, New England Journal of Medicine, International Journal of Epidemiology and Lung Cancer.

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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