David P. Macfarlane

4.6k total citations
23 papers, 815 citations indexed

About

David P. Macfarlane is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery. According to data from OpenAlex, David P. Macfarlane has authored 23 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in David P. Macfarlane's work include Hormonal Regulation and Hypertension (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Diet, Metabolism, and Disease (3 papers). David P. Macfarlane is often cited by papers focused on Hormonal Regulation and Hypertension (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Diet, Metabolism, and Disease (3 papers). David P. Macfarlane collaborates with scholars based in United Kingdom, Ireland and Australia. David P. Macfarlane's co-authors include Brian R. Walker, Shareen Forbes, Ruth Andrew, Dawn E. W. Livingstone, Graham Leese, Ning Yu, Miles Fisher, Simona Panunzi, Ken Paterson and Thomas R. Konrad and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

David P. Macfarlane

23 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David P. Macfarlane United Kingdom 13 396 205 156 145 111 23 815
Roman Junik Poland 16 419 1.1× 151 0.7× 119 0.8× 173 1.2× 123 1.1× 112 946
Sabrina Maestrini Italy 15 139 0.4× 279 1.4× 198 1.3× 115 0.8× 73 0.7× 23 831
Joaquín Lado‐Abeal United States 19 645 1.6× 125 0.6× 310 2.0× 82 0.6× 111 1.0× 63 1.2k
José de Jesús Garduño‐García Mexico 14 305 0.8× 296 1.4× 260 1.7× 158 1.1× 62 0.6× 30 878
Thorbjørn Grøfte Denmark 18 314 0.8× 245 1.2× 131 0.8× 100 0.7× 175 1.6× 49 782
Areti Augoulea Greece 20 405 1.0× 112 0.5× 135 0.9× 116 0.8× 133 1.2× 86 1.5k
Eugenio Arteaga Chile 18 492 1.2× 73 0.4× 121 0.8× 56 0.4× 234 2.1× 73 868
Yuko Akehi Japan 14 307 0.8× 156 0.8× 156 1.0× 52 0.4× 189 1.7× 37 688
Manav Batra United States 18 755 1.9× 159 0.8× 211 1.4× 96 0.7× 278 2.5× 31 1.1k
B. Zietz Germany 20 292 0.7× 302 1.5× 170 1.1× 319 2.2× 69 0.6× 34 1.0k

Countries citing papers authored by David P. Macfarlane

Since Specialization
Citations

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

Fields of papers citing papers by David P. Macfarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Macfarlane. 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 David P. Macfarlane. The network helps show where David P. Macfarlane may publish in the future.

Co-authorship network of co-authors of David P. Macfarlane

This figure shows the co-authorship network connecting the top 25 collaborators of David P. Macfarlane. A scholar is included among the top collaborators of David P. Macfarlane 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 David P. Macfarlane. David P. Macfarlane 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
1.
Barker, Peter, Keith Burling, Diarmuid Smith, et al.. (2023). Diagnosis and treatment of anti‐insulin antibody‐mediated labile glycaemia in insulin‐treated diabetes. Diabetic Medicine. 40(11). e15194–e15194. 4 indexed citations
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Stimson, Roland H., Lynne Ramage, David P. Macfarlane, et al.. (2017). Acute physiological effects of glucocorticoids on fuel metabolism in humans are permissive but not direct. Diabetes Obesity and Metabolism. 19(6). 883–891. 43 indexed citations
6.
Macfarlane, David P., Ning Yu, & Graham Leese. (2015). Asymptomatic and mild primary hyperparathyroidism. Annales d Endocrinologie. 76(2). 120–127. 11 indexed citations
7.
Macfarlane, David P., Peter Raubenheimer, Thomas C. Preston, et al.. (2014). Effects of acute glucocorticoid blockade on metabolic dysfunction in patients with Type 2 diabetes with and without fatty liver. American Journal of Physiology-Gastrointestinal and Liver Physiology. 307(7). G760–G768. 24 indexed citations
8.
Livingstone, Dawn E. W., Pascal Barat, Eva A. Rog‐Zielinska, et al.. (2014). 5α-Reductase Type 1 Deficiency or Inhibition Predisposes to Insulin Resistance, Hepatic Steatosis, and Liver Fibrosis in Rodents. Diabetes. 64(2). 447–458. 72 indexed citations
9.
Hughes, Katherine A., Dawn E. W. Livingstone, Calum Gray, et al.. (2014). 5α-Reductase Type 1 Modulates Insulin Sensitivity in Men. The Journal of Clinical Endocrinology & Metabolism. 99(8). E1397–E1406. 65 indexed citations
10.
Macfarlane, David P., Ning Yu, Peter T. Donnan, & Graham Leese. (2011). Should ‘Mild Primary Hyperparathyroidism’ be reclassified as ‘insidious’: is it time to reconsider?. Clinical Endocrinology. 75(6). 730–737. 15 indexed citations
11.
Manco, Melania, Simona Panunzi, David P. Macfarlane, et al.. (2010). One-Hour Plasma Glucose Identifies Insulin Resistance and β-Cell Dysfunction in Individuals With Normal Glucose Tolerance. Diabetes Care. 33(9). 2090–2097. 82 indexed citations
12.
Macfarlane, David P. & Graham Leese. (2010). Hypoglycaemia, phaeochromocytoma and features of acromegaly: a unifying diagnosis?. QJM. 104(11). 983–986. 7 indexed citations
13.
McNeilly, Alison D., David P. Macfarlane, Dawn E. W. Livingstone, et al.. (2010). Bile acids modulate glucocorticoid metabolism and the hypothalamic–pituitary–adrenal axis in obstructive jaundice. Journal of Hepatology. 52(5). 705–711. 73 indexed citations
14.
Macfarlane, David P., Xiantong Zou, Ruth Andrew, et al.. (2010). Metabolic pathways promoting intrahepatic fatty acid accumulation in methionine and choline deficiency: implications for the pathogenesis of steatohepatitis. American Journal of Physiology-Endocrinology and Metabolism. 300(2). E402–E409. 21 indexed citations
15.
Macfarlane, David P., Shareen Forbes, & Brian R. Walker. (2008). Glucocorticoids and fatty acid metabolism in humans: fuelling fat redistribution in the metabolic syndrome. Journal of Endocrinology. 197(2). 189–204. 284 indexed citations
16.
Macfarlane, David P., Ken Paterson, & Miles Fisher. (2008). Cardiovascular drugs as antidiabetic agents: evidence for the prevention of type 2 diabetes. Diabetes Obesity and Metabolism. 10(7). 533–544. 6 indexed citations
17.
Macfarlane, David P., Ken Paterson, & Miles Fisher. (2006). Oral antidiabetic agents as cardiovascular drugs. Diabetes Obesity and Metabolism. 9(1). 23–30. 24 indexed citations
18.
Macfarlane, David P. & Miles Fisher. (2006). Thiazolidinediones in Patients with Diabetes Mellitus and Heart Failure. American Journal of Cardiovascular Drugs. 6(5). 297–304. 10 indexed citations
19.
Macfarlane, David P., W. F. Durward, & Andrew D. McGavigan. (2005). A Rare and Life Threatening Complication of Prosthetic Valve Endocarditis. Heart Lung and Circulation. 15(1). 64–65. 2 indexed citations
20.
Macfarlane, David P., James A. R. Nicoll, Colin Smith, & David I. Graham. (1999). APOE ϵ4 allele and amyloid β-protein deposition in long term survivors of head injury. Neuroreport. 10(18). 3945–3948. 13 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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