J. E. Tooke

2.9k citations
66 papers · 2.2k · h-index 27

Impact in

Papers in

J. E. Tooke

65 papers receiving 2.1k citations

Peers

J. E. Tooke
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 717
  • Physiology 681
  • Cardiology and Cardiovascular Medicine 476
  • Rehabilitation 139
  • Occupational Therapy 73
Replace J. D. Ward with:
J. D. Ward United Kingdom
Subodh Arora United States
J. E. Tooke United Kingdom
Jay D. Coffman United States
A. Gordon Smith United States
Gary L. Pittenger United States
Carl‐David Agardh Sweden
Tomris Erbaş Türkiye
Kamel Mohammedi France
Nira Koren‐Morag Israel
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-authors

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

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986183
2 1986162
3
Synchronous assessment of human skin microcirculation by laser Doppler flowmetry and dynamic capillaroscopy.
1983110
4 1992106
5 2000103
6 1997100
7 1988100
8 199495
9 198887
10 200071
11 200070
12 199562
13 200657
14 199155
15 199950
16 199149
17 199546
18 199046
19 198844
20 199243

About J. E. Tooke

J. E. Tooke is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 66 papers that have together received 2.2k indexed citations. Recurring topics across this work include Thermoregulation and physiological responses (16 papers), Diabetic Foot Ulcer Assessment and Management (13 papers), Heart Rate Variability and Autonomic Control (7 papers), Cardiovascular Health and Disease Prevention (6 papers), Blood Pressure and Hypertension Studies (5 papers), Peripheral Artery Disease Management (5 papers), Adipose Tissue and Metabolism (4 papers) and Cardiovascular Syncope and Autonomic Disorders (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (717 citations), Physiology (681 citations), Cardiology and Cardiovascular Medicine (476 citations), Rehabilitation (139 citations) and Occupational Therapy (73 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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