Tom Cawood

1.3k citations
24 papers · 950 · h-index 12

Impact in

Papers in

Tom Cawood

22 papers receiving 918 citations

Peers

Tom Cawood
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 401
  • Pathology and Forensic Medicine 196
  • Cancer Research 120
  • Ophthalmology 72
  • Physiology 189
Replace Karen Siu Ling Lam with:
Karen Siu Ling Lam Hong Kong
Sijie Fang China
Roberta Minelli Italy
Demet Çorapçıoğlu Türkiye
Nuria García de la Torre Spain
Ye An Kim South Korea
Alptekin Gürsoy Türkiye
Jin Ook Chung South Korea
Cevdet Duran Türkiye
Simona Fica Romania
Tom Cawood relative to Karen Siu Ling Lam Hong Kong Karen Siu Ling Lam's profile →
Citations per field
00.5×4.8×
Karen Siu Ling Lam · 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 2009215
2 2010172
3 2007137
4 2010130
5 201151
6 201246
7 200443
8 200640
9
Cystic fibrosis-related diabetes in adults.
200617
10 200815
11 201913
12 201712
13 201210
14 202010
15 201410
16 20108
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 Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, General Health Professions and Pathology and Forensic Medicine, having authored 24 papers that have together received 950 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Adrenal and Paraganglionic Tumors (4 papers), Ophthalmology and Eye Disorders (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cystic Fibrosis Research Advances (2 papers) and Patient-Provider Communication in Healthcare (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (401 citations), Pathology and Forensic Medicine (196 citations), Cancer Research (120 citations), Ophthalmology (72 citations) and Physiology (189 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, David R. Cole, Derville O’Shea, Jeff Connell and Anna Kwaśnik. Their work appears in journals such as PLoS ONE, European Journal of Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Journal of Clinical Densitometry and Public Health Nutrition.

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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