J. E. Tooke

8.8k citations
40 papers · 1.7k indexed · h-index 21

Impact in

Papers in

J. E. Tooke

39 papers receiving 1.6k citations

Peers

J. E. Tooke
Comparison fields: 5 of 108
  • Nephrology 226
  • Biochemistry 208
  • Endocrinology, Diabetes and Metabolism 451
  • Physiology 578
  • Cardiology and Cardiovascular Medicine 388
Replace Lung‐An Hsu with:
Lung‐An Hsu Taiwan
Joseph Winaver Israel
J. E. Tooke United Kingdom
Fu‐Mei Chung Taiwan
A Creutzig Germany
Patrick Vallance United Kingdom
Tatsuya Maruhashi Japan
Gérard E. Plante Canada
Kaizhi Lu China
Chul‐Hee Kim South Korea
J. E. Tooke relative to Lung‐An Hsu Taiwan Lung‐An Hsu's profile →
Citations per field
00.5×3.9×
Lung‐An Hsu · 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 20240
2 2008275
3 20067
4 200241
5 20021
6 199958
7 19997
8 1999100
9 19972
10 199615
11 1995222
12 19945
13 199338
14 199349
15 199222
16
Capillary blood cell velocity is reduced in fever without hypotension.
199120
17 198918
18 198911
19 19872
20 198310

About J. E. Tooke

J. E. Tooke is a scholar working on Internal Medicine, Critical Care and Intensive Care Medicine, Endocrinology, Diabetes and Metabolism, Physiology and Nephrology, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Thermoregulation and physiological responses (10 papers), Diabetic Foot Ulcer Assessment and Management (7 papers), Diagnosis and Treatment of Venous Diseases (5 papers), Cardiovascular Health and Disease Prevention (4 papers), Blood properties and coagulation (3 papers), Thermal Regulation in Medicine (3 papers), Chronic Kidney Disease and Diabetes (3 papers) and Venous Thromboembolism Diagnosis and Management (3 papers). The work is most often cited by research in Nephrology (226 citations), Biochemistry (208 citations), Endocrinology, Diabetes and Metabolism (451 citations), Physiology (578 citations) and Cardiology and Cardiovascular Medicine (388 citations). J. E. Tooke has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Angela C. Shore, Simon C. Satchell, Susan Morris, M. D. Flynn, Kim M. Gooding, D. Mawson, Matthew Whiteman, Jacqueline L. Whatmore, K.L. Goh and J. E. Foster. Their work appears in journals such as Diabetic Medicine, Diabetologia, Cardiovascular Research, European Journal of Clinical Investigation and Clinical Science.

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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