Geerte Hoeke

1.1k total citations · 1 hit paper
14 papers, 856 citations indexed

About

Geerte Hoeke is a scholar working on Physiology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Geerte Hoeke has authored 14 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 7 papers in Epidemiology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Geerte Hoeke's work include Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Cardiovascular Disease and Adiposity (4 papers). Geerte Hoeke is often cited by papers focused on Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Cardiovascular Disease and Adiposity (4 papers). Geerte Hoeke collaborates with scholars based in Netherlands, United States and Germany. Geerte Hoeke's co-authors include Patrick C.N. Rensen, Sander Kooijman, Jimmy F.P. Berbée, Mariëtte R. Boon, Padmini P. S. J. Khedoe, Pieter S. Hiemstra, Louis M. Havekes, Isabel M. Mol, Nadia Vazirpanah and Maaike Schilperoort and has published in prestigious journals such as Nature Communications, Circulation Research and Scientific Reports.

In The Last Decade

Geerte Hoeke

14 papers receiving 848 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Brown fat activation reduces hypercholesterolaemia and protects from atherosclerosis development

2015 324 citations Jimmy F.P. Berbée, Mariëtte R. Boon et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geerte Hoeke Netherlands	10	636	289	247	157	126	14	856
Tomoya Sakamoto Japan	14	564 0.9×	382 1.3×	168 0.7×	360 2.3×	127 1.0×	22	943
Tom Ashmore United Kingdom	13	669 1.1×	197 0.7×	129 0.5×	336 2.1×	43 0.3×	16	1.1k
Valentin Barquissau France	11	368 0.6×	186 0.6×	83 0.3×	171 1.1×	60 0.5×	14	548
A. Brianne Thrush Canada	17	755 1.2×	222 0.8×	64 0.3×	621 4.0×	66 0.5×	19	1.2k
Hyun-Ae Seo South Korea	8	379 0.6×	169 0.6×	46 0.2×	205 1.3×	77 0.6×	16	554
Steven A. Murfitt United Kingdom	12	309 0.5×	142 0.5×	74 0.3×	211 1.3×	41 0.3×	13	570
Itsuro Nagase Japan	13	394 0.6×	252 0.9×	63 0.3×	300 1.9×	63 0.5×	22	956
C. Bonnard France	4	561 0.9×	165 0.6×	55 0.2×	463 2.9×	72 0.6×	8	851
Kay H. M. Roumans Netherlands	8	376 0.6×	244 0.8×	44 0.2×	201 1.3×	38 0.3×	11	698
Aurèle Besse‐Patin Canada	8	306 0.5×	209 0.7×	53 0.2×	299 1.9×	57 0.5×	11	634

Countries citing papers authored by Geerte Hoeke

Since Specialization

Citations

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

Fields of papers citing papers by Geerte Hoeke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geerte Hoeke

This figure shows the co-authorship network connecting the top 25 collaborators of Geerte Hoeke. A scholar is included among the top collaborators of Geerte Hoeke 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 Geerte Hoeke. Geerte Hoeke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Thiem, Kathrin, Geerte Hoeke, Anneke Hijmans, et al.. (2019). Deletion of hematopoietic Dectin-2 or CARD9 does not protect against atherosclerotic plaque formation in hyperlipidemic mice. Scientific Reports. 9(1). 4337–4337. 7 indexed citations

Zhou, Enchen, Geerte Hoeke, Li Zhuang, et al.. (2019). Colesevelam enhances the beneficial effects of brown fat activation on hyperlipidaemia and atherosclerosis development. Cardiovascular Research. 116(10). 1710–1720. 23 indexed citations

Thiem, Kathrin, Geerte Hoeke, Enchen Zhou, et al.. (2019). Deletion of haematopoietic Dectin-2 or CARD9 does not protect from atherosclerosis development under hyperglycaemic conditions. Diabetes and Vascular Disease Research. 17(1). 2033282270–2033282270. 5 indexed citations

Schilperoort, Maaike, Andrea D. van Dam, Geerte Hoeke, et al.. (2018). The GPR 120 agonist TUG ‐891 promotes metabolic health by stimulating mitochondrial respiration in brown fat. EMBO Molecular Medicine. 10(3). 78 indexed citations

Nahon, Kimberly J., Geerte Hoeke, Leontine E. H. Bakker, et al.. (2017). Short-term cooling increases serum angiopoietin-like 4 levels in healthy lean men. Journal of clinical lipidology. 12(1). 56–61. 8 indexed citations

Berbée, Jimmy F.P., Isabel M. Mol, Ginger L. Milne, et al.. (2017). Deuterium-reinforced polyunsaturated fatty acids protect against atherosclerosis by lowering lipid peroxidation and hypercholesterolemia. Atherosclerosis. 264. 100–107. 34 indexed citations

Hoeke, Geerte, Kimberly J. Nahon, Leontine E. H. Bakker, et al.. (2017). Short-term cooling increases serum triglycerides and small high-density lipoprotein levels in humans. Journal of clinical lipidology. 11(4). 920–928.e2. 34 indexed citations

Hoeke, Geerte, Yanan Wang, Andrea D. van Dam, et al.. (2017). Atorvastatin accelerates clearance of lipoprotein remnants generated by activated brown fat to further reduce hypercholesterolemia and atherosclerosis. Atherosclerosis. 267. 116–126. 18 indexed citations

Hoeke, Geerte, Kimberly J. Nahon, Alexander Bartelt, et al.. (2017). Cold exposure beneficially modulates HDL metabolism in mice and humans. Atherosclerosis. 263. e95–e95. 1 indexed citations

10.

Hoeke, Geerte, Padmini P. S. J. Khedoe, Janna A. van Diepen, et al.. (2017). The Effects of Selective Hematopoietic Expression of Human IL-37 on Systemic Inflammation and Atherosclerosis in LDLr-Deficient Mice. International Journal of Molecular Sciences. 18(8). 1672–1672. 11 indexed citations

11.

Schilperoort, Maaike, Geerte Hoeke, Sander Kooijman, & Patrick C.N. Rensen. (2016). Relevance of lipid metabolism for brown fat visualization and quantification. Current Opinion in Lipidology. 27(3). 242–248. 46 indexed citations

12.

Hoeke, Geerte, Sander Kooijman, Mariëtte R. Boon, Patrick C.N. Rensen, & Jimmy F.P. Berbée. (2016). Role of Brown Fat in Lipoprotein Metabolism and Atherosclerosis. Circulation Research. 118(1). 173–182. 126 indexed citations

13.

Berbée, Jimmy F.P., Mariëtte R. Boon, Padmini P. S. J. Khedoe, et al.. (2015). Brown fat activation reduces hypercholesterolaemia and protects from atherosclerosis development. Nature Communications. 6(1). 6356–6356. 324 indexed citations breakdown →

14.

Khedoe, Padmini P. S. J., Geerte Hoeke, Sander Kooijman, et al.. (2014). Brown adipose tissue takes up plasma triglycerides mostly after lipolysis. Journal of Lipid Research. 56(1). 51–59. 141 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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