Sander Kooijman

5.7k total citations · 3 hit papers
116 papers, 3.6k citations indexed

About

Sander Kooijman is a scholar working on Physiology, Endocrine and Autonomic Systems and Epidemiology. According to data from OpenAlex, Sander Kooijman has authored 116 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Physiology, 31 papers in Endocrine and Autonomic Systems and 25 papers in Epidemiology. Recurrent topics in Sander Kooijman's work include Adipose Tissue and Metabolism (54 papers), Circadian rhythm and melatonin (25 papers) and Adipokines, Inflammation, and Metabolic Diseases (19 papers). Sander Kooijman is often cited by papers focused on Adipose Tissue and Metabolism (54 papers), Circadian rhythm and melatonin (25 papers) and Adipokines, Inflammation, and Metabolic Diseases (19 papers). Sander Kooijman collaborates with scholars based in Netherlands, United States and Germany. Sander Kooijman's co-authors include Patrick C.N. Rensen, Mariëtte R. Boon, Jimmy F.P. Berbée, Geerte Hoeke, Yanan Wang, José K. van den Heuvel, Onno C. Meijer, Louis M. Havekes, Maaike Schilperoort and Enchen Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Sander Kooijman

110 papers receiving 3.6k 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.

Butyrate reduces appetite and activates brown adipose tissue via the gut-brain neural circuit

2017 516 citations Chun‐Xia Yi, Sander Kooijman et al. profile →
Brown fat activation reduces hypercholesterolaemia and protects from atherosclerosis development

2015 324 citations Jimmy F.P. Berbée, Mariëtte R. Boon et al. profile →
Human Brown Adipocyte Thermogenesis Is Driven by β2-AR Stimulation

2020 221 citations Denis P. Blondin, Eline N. Kuipers et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sander Kooijman Netherlands	31	2.1k	985	797	542	503	116	3.6k
Jozef Ukropec Slovakia	32	2.4k 1.2×	853 0.9×	931 1.2×	244 0.5×	422 0.8×	112	3.8k
Tore Bengtsson Sweden	30	2.8k 1.3×	1.2k 1.2×	1.1k 1.3×	318 0.6×	611 1.2×	74	3.8k
Eduardo R. Ropelle Brazil	36	2.2k 1.1×	1.8k 1.8×	1.1k 1.3×	382 0.7×	299 0.6×	148	4.5k
Alessandra Valerio Italy	34	2.6k 1.3×	2.3k 2.4×	760 1.0×	338 0.6×	415 0.8×	97	5.6k
Cristina Tonello Italy	24	2.3k 1.1×	1.5k 1.5×	878 1.1×	394 0.7×	454 0.9×	43	3.9k
José Rodrigo Pauli Brazil	39	2.4k 1.2×	1.3k 1.4×	1.2k 1.6×	706 1.3×	304 0.6×	210	4.7k
Susanna M. Hofmann United States	28	1.9k 0.9×	1.1k 1.1×	1.4k 1.8×	662 1.2×	566 1.1×	50	4.4k
Adelino Sánchez Ramos da Silva Brazil	31	1.6k 0.8×	819 0.8×	728 0.9×	247 0.5×	249 0.5×	197	3.3k
Marie Björnholm Sweden	30	1.7k 0.8×	1.9k 1.9×	673 0.8×	851 1.6×	196 0.4×	49	3.7k
Matthew R. Jackman United States	31	1.6k 0.8×	778 0.8×	591 0.7×	363 0.7×	185 0.4×	56	3.0k

Countries citing papers authored by Sander Kooijman

Since Specialization

Citations

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

Fields of papers citing papers by Sander Kooijman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sander Kooijman

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sánchez‐López, Elena, Zhixiong Ying, Mariëtte R. Boon, et al.. (2025). Inhibition of endocannabinoid synthesis enzymes DAGL and NAPE-PLD transiently lowers body weight and alters glucose homeostasis during a high-fat diet challenge in mice. European Journal of Endocrinology. 193(5). 518–526.

Dirven, Richard, Elisa Schrader Echeverri, Anja W. M. de Jong, et al.. (2025). Silencing of the von Willebrand factor gene in proatherothrombotic APOE∗3-Leiden.CETP transgenic mice. Research and Practice in Thrombosis and Haemostasis. 9(1). 102699–102699.

Weiß, Günter, et al.. (2024). Brown adipose tissue facilitates the fever response following infection with Salmonella enterica serovar Typhimurium in mice. Journal of Lipid Research. 65(9). 100617–100617. 1 indexed citations

Cypess, Aaron M., Barbara Cannon, Jan Nedergaard, et al.. (2024). Emerging debates and resolutions in brown adipose tissue research. Cell Metabolism. 37(1). 12–33. 23 indexed citations

Pronk, Amanda C. M., Trea C.M. Streefland, Reshma A. Lalai, et al.. (2024). Liver-targeted Angptl4 silencing by antisense oligonucleotide treatment attenuates hyperlipidaemia and atherosclerosis development in APOE*3-Leiden.CETP mice. Cardiovascular Research. 120(17). 2179–2190. 5 indexed citations

Noordam, Raymond, Stella Trompet, Elizabeth M. Winter, et al.. (2024). The impact of statin use on sepsis mortality. Journal of clinical lipidology. 18(6). e915–e925. 4 indexed citations

Koudijs, Angela, Sander Kooijman, Rosalie Rietjens, et al.. (2024). Fasting mimicking diet in diabetic mice partially preserves glomerular endothelial glycocalyx coverage, without changing the diabetic metabolic environment. American Journal of Physiology-Renal Physiology. 326(5). F681–F693. 4 indexed citations

Ying, Zhixiong, Joost M. Lambooij, Bruno Guigas, et al.. (2023). Combined GIP receptor and GLP1 receptor agonism attenuates NAFLD in male APOE∗3-Leiden.CETP mice. EBioMedicine. 93. 104684–104684. 14 indexed citations

Schönke, Milena, Reshma A. Lalai, Amanda C. M. Pronk, et al.. (2023). Time-restricted feeding attenuates hypercholesterolaemia and atherosclerosis development during circadian disturbance in APOE∗3-Leiden.CETP mice. EBioMedicine. 93. 104680–104680. 19 indexed citations

10.

Vos, Dyonne, Melinde Wijers, Marieke Smit, et al.. (2022). Cargo-Specific Role for Retriever Subunit VPS26C in Hepatocyte Lipoprotein Receptor Recycling to Control Postprandial Triglyceride-Rich Lipoproteins. Arteriosclerosis Thrombosis and Vascular Biology. 43(1). e29–e45. 10 indexed citations

11.

Martínez‐Téllez, Borja, Kimberly J. Nahon, Laura G.M. Janssen, et al.. (2022). Comprehensive (apo)lipoprotein profiling in patients with genetic hypertriglyceridemia using LC-MS and NMR spectroscopy. Journal of clinical lipidology. 16(4). 472–482. 8 indexed citations

12.

Schilperoort, Maaike, Jan Kroon, Sander Kooijman, et al.. (2021). Loss of glucocorticoid rhythm induces an osteoporotic phenotype in female mice. Aging Cell. 20(10). e13474–e13474. 9 indexed citations

13.

Winter, Elizabeth M., Sander Kooijman, Natasha M. Appelman‐Dijkstra, et al.. (2021). Chronobiology and Chronotherapy of Osteoporosis. JBMR Plus. 5(10). e10504–e10504. 19 indexed citations

14.

Duijs, Jacques M.G.J., Maartje Klaver, Eline N. Kuipers, et al.. (2021). Estradiol-driven metabolism in transwomen associates with reduced circulating extracellular vesicle microRNA-224/452. European Journal of Endocrinology. 185(4). 539–552. 5 indexed citations

15.

Wang, Xiaolan, Nikita L. Korpel, Irina V. Milanova, et al.. (2020). Deficiency of the Circadian Clock Gene Bmal1 Reduces Microglial Immunometabolism. Frontiers in Immunology. 11. 586399–586399. 55 indexed citations

16.

Noordam, Raymond, Ashna Ramkisoensing, Nellie Y. Loh, et al.. (2019). Associations of Outdoor Temperature, Bright Sunlight, and Cardiometabolic Traits in Two European Population-Based Cohorts. The Journal of Clinical Endocrinology & Metabolism. 104(7). 2903–2910. 15 indexed citations

17.

Donkers, Joanne M., Sander Kooijman, Davor Slijepcevic, et al.. (2019). NTCP deficiency in mice protects against obesity and hepatosteatosis. JCI Insight. 4(14). 37 indexed citations

18.

Ottenhoff, Roelof, Sander Kooijman, Martina Moeton, et al.. (2018). Inactivation of the E3 Ubiquitin Ligase IDOL Attenuates Diet-Induced Obesity and Metabolic Dysfunction in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 38(8). 1785–1795. 22 indexed citations

19.

Kooijman, Sander, Yanan Wang, Edwin T. Parlevliet, et al.. (2015). Central GLP-1 receptor signalling accelerates plasma clearance of triacylglycerol and glucose by activating brown adipose tissue in mice. Diabetologia. 58(11). 2637–2646. 118 indexed citations

20.

Kooijman, Sander, et al.. (2004). Biology-based methods.. VU Research Portal. 2 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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