Greg Shaw

3.0k citations
77 papers · 1.3k · h-index 25

Impact in

Papers in

Greg Shaw

69 papers receiving 1.3k citations

Peers

Greg Shaw
Comparison fields: 5 of 125
  • Pulmonary and Respiratory Medicine 630
  • Urology 66
  • Cancer Research 159
  • Oncology 139
  • Radiology, Nuclear Medicine and Imaging 94
Replace Peter Ka‐Fung Chiu with:
Peter Ka‐Fung Chiu Hong Kong
Martina Maggi Italy
Simon Brewster United Kingdom
Alexander P. Glaser United States
Laura Bukavina United States
Gennaro Musi Italy
Sanoj Punnen United States
Anne Cleves United Kingdom
Simone Albisinni Belgium
Alessandro Gentilucci Italy
Greg Shaw relative to Peter Ka‐Fung Chiu Hong Kong Peter Ka‐Fung Chiu's profile →
Citations per field
00.5×3.7×
Peter Ka‐Fung Chiu · 1×
Citations per year

Countries citing papers authored by Greg Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Greg Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200774
2 201168
3 201165
4 201755
5 201751
6 201250
7 201749
8 201449
9 201148
10 201146
11 200842
12 202139
13 200838
14 200435
15 200833
16 201632
17 201931
18
Wheelchair rider risk in motor vehicles: a technical note.
200029
19 200828
20 201627

About Greg Shaw

Greg Shaw is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Urology and Surgery, having authored 77 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (27 papers), Prostate Cancer Treatment and Research (18 papers), Urinary Bladder and Prostate Research (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Kidney Stones and Urolithiasis Treatments (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Traffic and Road Safety (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (630 citations), Urology (66 citations), Cancer Research (159 citations), Oncology (139 citations) and Radiology, Nuclear Medicine and Imaging (94 citations). Greg Shaw has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include David M. Prowse, R.T.D. Oliver, Ashwin Sridhar, Alex Freeman, David E. Neal, John D. Kelly, Senthil Nathan, Jack Cuzick, Xueying Mao and Yong‐Jie Lu. Their work appears in journals such as British Journal of Urology, Urology, The Journal of Urology, British Journal of Cancer and European Radiology.

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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