Tom Cawood

22 papers receiving 929 citations

Peers

Tom Cawood
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 254
  • Pathology and Forensic Medicine 183
  • Surgery 270
  • Physiology 149
  • Epidemiology 186
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Sumihisa Kubota Japan
Joachim Feldkamp Germany
Danièle Dubois‐Laforgue France
Andrew L. Siebel Australia
Demet Çorapçıoğlu Türkiye
Susan Williams South Africa
Simona Fica Romania
Yoshinori Murao Japan
Marialuisa Spoletini Italy
Seon Woo Kim South Korea
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Citations per field
00.5×2.7×
Sumihisa Kubota · 1×
Citations per year

Countries citing papers authored by Tom Cawood

Since Specialization
Citations

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

Fields of papers citing papers by Tom Cawood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009218
2 2010172
3 2007139
4 2010132
5 201152
6 201246
7 200443
8 200640
9
Cystic fibrosis-related diabetes in adults.
200617
10 200815
11 201913
12 201712
13 201410
14 201210
15 202010
16 20109
17 20137
18 20167
19
Obesity-related nephropathy; evidence of proximal tubular damage
20083
20 20002

About Tom Cawood

Tom Cawood is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Nephrology, having authored 24 papers that have together received 959 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (4 papers), Ophthalmology and Eye Disorders (3 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Cystic Fibrosis Research Advances (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Aortic Disease and Treatment Approaches (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (254 citations), Pathology and Forensic Medicine (183 citations), Surgery (270 citations), Physiology (149 citations) and Epidemiology (186 citations). Tom Cawood has collaborated with scholars based in New Zealand, Ireland and United States. Frequent co-authors include Donal O’Shea, Cliona O’Farrelly, Lydia Lynch, Paul Moriarty, Penny J. Hunt, S. Soule, Derville O’Shea, David R. Cole, Jean O’Connell and Niamh Nolan. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, PLoS ONE, Journal of Clinical Densitometry and Best Practice & Research Clinical Endocrinology & Metabolism.

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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