Gemma Currie

2.2k total citations · 1 hit paper
22 papers, 1.0k citations indexed

About

Gemma Currie is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Nephrology. According to data from OpenAlex, Gemma Currie has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 9 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Nephrology. Recurrent topics in Gemma Currie's work include Chronic Kidney Disease and Diabetes (7 papers), Blood Pressure and Hypertension Studies (7 papers) and Hormonal Regulation and Hypertension (6 papers). Gemma Currie is often cited by papers focused on Chronic Kidney Disease and Diabetes (7 papers), Blood Pressure and Hypertension Studies (7 papers) and Hormonal Regulation and Hypertension (6 papers). Gemma Currie collaborates with scholars based in United Kingdom, Denmark and Germany. Gemma Currie's co-authors include Christian Delles, Paul Connelly, Colin Perry, E. Marie Freel, Rhian M. Touyz, Morten Lindhardt, Peter Rossing, Heather Yvonne Small, David Preiss and Harald Mischak and has published in prestigious journals such as PLoS ONE, Hypertension and Nephrology Dialysis Transplantation.

In The Last Decade

Gemma Currie

21 papers receiving 995 citations

Hit Papers

Sex Differences in the Prevalence, Outcomes and Managemen... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gemma Currie United Kingdom 14 277 267 234 189 103 22 1.0k
Gerald Vervoort Netherlands 15 203 0.7× 272 1.0× 187 0.8× 122 0.6× 79 0.8× 21 801
Masao Kanauchi Japan 19 301 1.1× 160 0.6× 335 1.4× 258 1.4× 100 1.0× 56 1.1k
Ineke J. Riphagen Netherlands 19 150 0.5× 105 0.4× 164 0.7× 198 1.0× 111 1.1× 47 955
Maximilian König Germany 18 90 0.3× 134 0.5× 124 0.5× 214 1.1× 69 0.7× 36 956
Gary Ko Hong Kong 23 559 2.0× 262 1.0× 151 0.6× 390 2.1× 265 2.6× 51 1.6k
Chi Wang China 19 132 0.5× 143 0.5× 51 0.2× 154 0.8× 95 0.9× 55 873
Farzad Masoudkabir Iran 16 169 0.6× 467 1.7× 70 0.3× 104 0.6× 162 1.6× 90 983
Aytekin Oğuz Türkiye 16 316 1.1× 166 0.6× 78 0.3× 131 0.7× 96 0.9× 86 958
S M Haffner United States 8 347 1.3× 228 0.9× 141 0.6× 85 0.4× 114 1.1× 9 840
Vasiliki Katsi Greece 23 77 0.3× 405 1.5× 56 0.2× 178 0.9× 116 1.1× 88 1.1k

Countries citing papers authored by Gemma Currie

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Currie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gemma Currie

This figure shows the co-authorship network connecting the top 25 collaborators of Gemma Currie. A scholar is included among the top collaborators of Gemma Currie 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 Gemma Currie. Gemma Currie 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
2.
Preiss, David, Jennifer Logue, Emily Sammons, et al.. (2024). Effect of Fenofibrate on Progression of Diabetic Retinopathy. NEJM Evidence. 3(8). EVIDoa2400179–EVIDoa2400179. 25 indexed citations
3.
Connelly, Paul, Gemma Currie, & Christian Delles. (2022). Sex Differences in the Prevalence, Outcomes and Management of Hypertension. Current Hypertension Reports. 24(6). 185–192. 148 indexed citations breakdown →
4.
Currie, Gemma, Sheon Mary, & Christian Delles. (2019). Is there a role for proteomics in diabetic renal disease?. Nephrology Dialysis Transplantation. 35(7). 1133–1135. 2 indexed citations
5.
Siméon, S., Ziad A. Massy, Kurt Højlund, et al.. (2018). Renal function markers and insulin sensitivity after 3 years in a healthy cohort, the EGIR-RISC study. BMC Nephrology. 19(1). 124–124. 1 indexed citations
6.
Currie, Gemma, Bernt Johan von Scholten, Sheon Mary, et al.. (2018). Urinary proteomics for prediction of mortality in patients with type 2 diabetes and microalbuminuria. Cardiovascular Diabetology. 17(1). 50–50. 38 indexed citations
7.
Currie, Gemma & Christian Delles. (2018). Precision Medicine and Personalized Medicine in Cardiovascular Disease. Advances in experimental medicine and biology. 589–605. 48 indexed citations
8.
Currie, Gemma, M. Angelyn Bethel, Björn Holzhauer, et al.. (2017). Effect of valsartan on kidney outcomes in people with impaired glucose tolerance. Diabetes Obesity and Metabolism. 19(6). 791–799. 8 indexed citations
10.
Currie, Gemma & Christian Delles. (2016). Urinary Proteomics for Diagnosis and Monitoring of Diabetic Nephropathy. Current Diabetes Reports. 16(11). 104–104. 13 indexed citations
11.
Albrecht, Christiane, Hiten D. Mistry, Bernhard Dick, et al.. (2016). Placental expression of the angiogenic placental growth factor is stimulated by both aldosterone and simulated starvation. Placenta. 40. 18–24. 14 indexed citations
12.
Currie, Gemma & Christian Delles. (2016). Use of Biomarkers in the Evaluation and Treatment of Hypertensive Patients. Current Hypertension Reports. 18(7). 54–54. 11 indexed citations
13.
Small, Heather Yvonne, et al.. (2016). Systematic Review of Micro-RNA Expression in Pre-Eclampsia Identifies a Number of Common Pathways Associated with the Disease. PLoS ONE. 11(8). e0160808–e0160808. 62 indexed citations
14.
Currie, Gemma, Alison Taylor, Toshiro Fujita, et al.. (2016). Effect of mineralocorticoid receptor antagonists on proteinuria and progression of chronic kidney disease: a systematic review and meta-analysis. BMC Nephrology. 17(1). 127–127. 136 indexed citations
15.
Currie, Gemma & Christian Delles. (2016). The Future of “Omics” in Hypertension. Canadian Journal of Cardiology. 33(5). 601–610. 17 indexed citations
16.
Mistry, Hiten D., Geneviève Escher, Bernhard Dick, et al.. (2015). Gestation-specific reference intervals for comprehensive spot urinary steroid hormone metabolite analysis in normal singleton pregnancy and 6 weeks postpartum. Reproductive Biology and Endocrinology. 13(1). 101–101. 11 indexed citations
17.
Currie, Gemma. (2014). Biomarkers in diabetic nephropathy: Present and future. World Journal of Diabetes. 5(6). 763–763. 112 indexed citations
18.
Currie, Gemma, et al.. (2014). Endocrine aspects of pre-eclampsia. Discovery Research Portal (University of Dundee). 4(1). 1–10. 2 indexed citations
19.
Delles, Christian & Gemma Currie. (2013). Proteinuria and its relation to cardiovascular disease. International Journal of Nephrology and Renovascular Disease. 7. 13–13. 108 indexed citations
20.
Currie, Gemma, E. Marie Freel, Colin Perry, & Anna F. Dominiczak. (2011). Disorders of Blood Pressure Regulation—Role of Catecholamine Biosynthesis, Release, and Metabolism. Current Hypertension Reports. 14(1). 38–45. 29 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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