Kenneth Earle

2.3k total citations
40 papers, 1.1k citations indexed

About

Kenneth Earle is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kenneth Earle has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 14 papers in Nephrology and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kenneth Earle's work include Chronic Kidney Disease and Diabetes (13 papers), Blood Pressure and Hypertension Studies (13 papers) and Cardiovascular Health and Disease Prevention (5 papers). Kenneth Earle is often cited by papers focused on Chronic Kidney Disease and Diabetes (13 papers), Blood Pressure and Hypertension Studies (13 papers) and Cardiovascular Health and Disease Prevention (5 papers). Kenneth Earle collaborates with scholars based in United Kingdom, United States and Italy. Kenneth Earle's co-authors include Giancarlo Viberti, Karima Zitouni, James D. Walker, Ala Sungoor, R.S.H. Istepanian, Maria Barnard, Robin G. Woolfson, D. Harry, Anna Morocutti and Gian Carlo Viberti and has published in prestigious journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Kenneth Earle

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kenneth Earle United Kingdom 19 382 285 232 225 176 40 1.1k
Eric S Kilpatrick United Kingdom 24 604 1.6× 156 0.5× 258 1.1× 55 0.2× 228 1.3× 71 1.7k
Nataša Bogavac‐Stanojević Serbia 18 221 0.6× 228 0.8× 141 0.6× 64 0.3× 202 1.1× 107 1.3k
João Filipe Raposo Portugal 22 504 1.3× 149 0.5× 82 0.4× 55 0.2× 200 1.1× 99 1.4k
Janusz Gumprecht Poland 20 898 2.4× 258 0.9× 127 0.5× 60 0.3× 265 1.5× 152 1.6k
D. G. Cramp United Kingdom 18 233 0.6× 130 0.5× 98 0.4× 58 0.3× 154 0.9× 65 935
Chul Sik Kim South Korea 25 661 1.7× 230 0.8× 80 0.3× 107 0.5× 476 2.7× 97 1.6k
Lynda Stevens United Kingdom 12 857 2.2× 474 1.7× 104 0.4× 47 0.2× 218 1.2× 16 1.6k
Dudan Zhang China 7 716 1.9× 305 1.1× 80 0.3× 88 0.4× 295 1.7× 9 1.6k
N. J. Morrish United Kingdom 8 810 2.1× 459 1.6× 89 0.4× 43 0.2× 222 1.3× 10 1.4k
Peter C.Y. Tong Hong Kong 25 871 2.3× 282 1.0× 299 1.3× 54 0.2× 394 2.2× 52 1.7k

Countries citing papers authored by Kenneth Earle

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Earle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth Earle

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Earle. A scholar is included among the top collaborators of Kenneth Earle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kenneth Earle. Kenneth Earle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Earle, Kenneth, Karima Zitouni, & Jaffar Nourooz‐Zadeh. (2018). Lipopolysaccharide-induced VEGF production and ambient oxidative stress in type 2 diabetes. The Journal of Clinical Endocrinology & Metabolism. 104(1). 1–6. 10 indexed citations
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Earle, Kenneth, et al.. (2014). Telemonitoring: use in the management of hypertension. Vascular Health and Risk Management. 10. 217–217. 19 indexed citations
7.
Earle, Kenneth, D. Harry, & Karima Zitouni. (2007). Circulating cholesterol as a modulator of risk for renal injury in patients with type 2 diabetes. Diabetes Research and Clinical Practice. 79(1). 68–73. 9 indexed citations
8.
Sutton, David, Paul Taylor, & Kenneth Earle. (2006). Evaluation of PROforma as a language for implementing medical guidelines in a practical context. BMC Medical Informatics and Decision Making. 6(1). 20–20. 28 indexed citations
9.
Zitouni, Karima, D. Harry, Jaffar Nourooz‐Zadeh, D. J. Betteridge, & Kenneth Earle. (2005). Circulating vitamin E, transforming growth factor β1, and the association with renal disease susceptibility in two racial groups with type 2 diabetes. Kidney International. 67(5). 1993–1998. 9 indexed citations
10.
Ling, Khoon Lin, et al.. (2001). Lipid hydroperoxide and markers of renal disease susceptibility in African‐Caribbean and Caucasian patients with Type 2 diabetes mellitus. Diabetic Medicine. 18(2). 109–115. 43 indexed citations
11.
Earle, Kenneth, et al.. (2001). Defective Nitric Oxide Production and Functional Renal Reserve in Patients with Type 2 Diabetes Who Have Microalbuminuria of African and Asian Compared with White Origin. Journal of the American Society of Nephrology. 12(10). 2125–2130. 37 indexed citations
12.
Earle, Kenneth, et al.. (2001). Variation in the progression of diabetic nephropathy according to racial origin. Nephrology Dialysis Transplantation. 16(2). 286–290. 53 indexed citations
13.
Earle, Kenneth, et al.. (2000). QT dispersion in microalbuminuric Type 1 diabetic patients without myocardial ischemia. Journal of Diabetes and its Complications. 14(5). 277–280. 9 indexed citations
14.
Pancholi, Sunil & Kenneth Earle. (2000). PATTERN OF ANGIOGENIC CYTOKINE RELEASE FROM HUMAN VASCULAR SMOOTH MUSCLE CELLS PROGRAMMED BY AMINO ACID DEPRIVATION. Cytokine. 12(9). 1322–1325. 3 indexed citations
15.
Earle, Kenneth, et al.. (1998). Amino acid depletion modulates vascular endothelial growth factor production during the life span of human vascular smooth muscle cells. Journal of Cellular Physiology. 176(2). 359–364. 2 indexed citations
16.
Earle, Kenneth, Anna Morocutti, & Giancarlo Viberti. (1997). Permissive role of hypertension in the development of proteinuria and progression of renal disease in insulin-dependent diabetic patients. Journal of Hypertension. 15(2). 191–196. 4 indexed citations
17.
Morocutti, Anna, Kenneth Earle, H. Peter Rodemann, & Gian Carlo Viberti. (1997). Premature cell ageing and evolution of diabetic nephropathy. Diabetologia. 40(2). 244–246. 11 indexed citations
18.
Morocutti, Anna, Kenneth Earle, Giampiero Piras, et al.. (1996). Premature senescence of skin fibroblasts from insulin-dependent diabetic patients with kidney disease. Kidney International. 50(1). 250–256. 40 indexed citations
19.
Cosmo, Salvatore De, Kenneth Earle, Anna Morocutti, et al.. (1993). Glucose-induced changes in renal haemodynamics in proteinuric Type 1 (insulin-dependent) diabetic patients: inhibition by acetylsalicilic acid infusion. Diabetologia. 36(7). 622–627. 18 indexed citations
20.
Earle, Kenneth, et al.. (1992). Familial Clustering of Cardiovascular Disease in Patients with Insulin-Dependent Diabetes and Nephropathy. New England Journal of Medicine. 326(10). 673–677. 163 indexed citations

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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