J. E. Tooke

2.9k citations
66 papers · 2.2k indexed · h-index 26

J. E. Tooke

65 papers receiving 2.1k citations

Peers

J. E. Tooke
Comparison fields: 5 of 103
  • Endocrinology, Diabetes and Metabolism 842
  • Physiology 799
  • Occupational Therapy 124
  • Rehabilitation 189
  • Cardiology and Cardiovascular Medicine 619
Replace J. D. Ward with:
J. D. Ward United Kingdom
Subodh Arora United States
J. E. Tooke United Kingdom
Jay D. Coffman United States
Gary L. Pittenger United States
A. Gordon Smith United States
Kamel Mohammedi France
Tomris Erbaş Türkiye
Andries J. Smit Netherlands
Alfons J.H.M. Houben Netherlands
J. E. Tooke relative to J. D. Ward United Kingdom J. D. Ward's profile →
Citations per field
00.5×1.5×2.1×
J. D. Ward · 1×
Citations per year

Countries citing papers authored by J. E. Tooke

Since Specialization
Citations

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

Fields of papers citing papers by J. E. Tooke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. E. Tooke. 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 J. E. Tooke. The network helps show where J. E. Tooke may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20021
2 200115
3 200071
4 200070
5 2000102
6 199950
7 1997100
8 199637
9 199527
10
Proposed training requirements for Medical Angiology fellows
19931
11 1992106
12 199218
13 199243
14
The case for the specialty of medical angiology
19915
15 199149
16 19909
17 198916
18 1986162
19 1986183
20 198217

About J. E. Tooke

J. E. Tooke is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Cardiology and Cardiovascular Medicine, having authored 66 papers that have together received 2.2k indexed citations. Recurring topics across this work include Thermoregulation and physiological responses (17 papers), Diabetic Foot Ulcer Assessment and Management (13 papers), Heart Rate Variability and Autonomic Control (9 papers), Cardiovascular Health and Disease Prevention (7 papers), Retinal Diseases and Treatments (6 papers), Blood Pressure and Hypertension Studies (5 papers), Peripheral Artery Disease Management (5 papers) and Cardiovascular Syncope and Autonomic Disorders (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (842 citations), Physiology (799 citations) and Occupational Therapy (124 citations). J. E. Tooke has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Angela C. Shore, Gerry Rayman, M. D. Flynn, Alan Jaap, Shirley Williams, Michael Hannemann, L. H. Smaje, B Fagrell, Jan Östergren and P. H. Wise. Their work appears in journals such as Diabetic Medicine, Clinical Science, Diabetologia, Diabetes and European Journal of Clinical Investigation.

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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