Evert M. van Schothorst

3.9k total citations
105 papers, 3.0k citations indexed

About

Evert M. van Schothorst is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Evert M. van Schothorst has authored 105 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Physiology, 37 papers in Molecular Biology and 19 papers in Epidemiology. Recurrent topics in Evert M. van Schothorst's work include Adipose Tissue and Metabolism (47 papers), Diet and metabolism studies (33 papers) and Adipokines, Inflammation, and Metabolic Diseases (12 papers). Evert M. van Schothorst is often cited by papers focused on Adipose Tissue and Metabolism (47 papers), Diet and metabolism studies (33 papers) and Adipokines, Inflammation, and Metabolic Diseases (12 papers). Evert M. van Schothorst collaborates with scholars based in Netherlands, Spain and Czechia. Evert M. van Schothorst's co-authors include Jaap Keijer, Annelies Bunschoten, Hans J. M. Swarts, Susanne Klaus, Mario Ost, Susanne Keipert, John E. Hesketh, Inge van der Stelt, Martin Jastroch and Catherine Méplan and has published in prestigious journals such as PLoS ONE, Brain and American Journal of Clinical Nutrition.

In The Last Decade

Evert M. van Schothorst

98 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evert M. van Schothorst Netherlands 33 1.2k 1.1k 497 480 391 105 3.0k
Rasmus K. Petersen Denmark 31 1.4k 1.2× 1.4k 1.4× 782 1.6× 357 0.7× 270 0.7× 61 3.2k
Vernon W. Dolinsky Canada 39 1.3k 1.1× 1.7k 1.6× 781 1.6× 295 0.6× 506 1.3× 105 4.6k
Kelsey H. Fisher‐Wellman United States 31 1.6k 1.3× 1.7k 1.6× 448 0.9× 262 0.5× 214 0.5× 94 3.8k
Elena M. Yubero‐Serrano Spain 36 1.1k 0.9× 1.0k 1.0× 379 0.8× 520 1.1× 468 1.2× 111 3.3k
Chihiro Yabe‐Nishimura Japan 37 1.3k 1.1× 1.6k 1.5× 333 0.7× 206 0.4× 400 1.0× 91 4.1k
Helena C.F. Oliveira Brazil 30 863 0.7× 1.3k 1.2× 651 1.3× 348 0.7× 635 1.6× 122 3.6k
Ryan P. McMillan United States 29 1.1k 0.9× 1.3k 1.3× 410 0.8× 250 0.5× 284 0.7× 61 2.7k
Yaw L. Siow Canada 41 533 0.4× 1.6k 1.6× 563 1.1× 339 0.7× 322 0.8× 116 4.7k
Eszter Sarkadi‐Nagy United States 16 1.2k 1.0× 841 0.8× 465 0.9× 405 0.8× 226 0.6× 19 2.5k
Antônio Carlos Cicogna Brazil 35 1.5k 1.3× 916 0.9× 476 1.0× 448 0.9× 662 1.7× 186 4.2k

Countries citing papers authored by Evert M. van Schothorst

Since Specialization
Citations

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

Fields of papers citing papers by Evert M. van Schothorst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evert M. van Schothorst. 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 Evert M. van Schothorst. The network helps show where Evert M. van Schothorst may publish in the future.

Co-authorship network of co-authors of Evert M. van Schothorst

This figure shows the co-authorship network connecting the top 25 collaborators of Evert M. van Schothorst. A scholar is included among the top collaborators of Evert M. van Schothorst 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 Evert M. van Schothorst. Evert M. van Schothorst 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.
Song, Jingyi, Loes P. M. Duivenvoorde, Sander Grefte, et al.. (2023). Normobaric hypoxia shows enhanced FOXO1 signaling in obese mouse gastrocnemius muscle linked to metabolism and muscle structure and neuromuscular innervation. Pflügers Archiv - European Journal of Physiology. 475(11). 1265–1281. 6 indexed citations
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Schothorst, Evert M. van, et al.. (2021). Exploring the associations between transcript levels and fluxes in constraint-based models of metabolism. BMC Bioinformatics. 22(1). 574–574. 5 indexed citations
5.
Nieuwenhuizen, Arie G. & Evert M. van Schothorst. (2021). Energy Metabolism and Diet. Nutrients. 13(6). 1907–1907.
6.
Nieuwenhuizen, Arie G., et al.. (2020). Metabolic effects of the dietary monosaccharides fructose, fructose–glucose, or glucose in mice fed a starch‐containing moderate high–fat diet. Physiological Reports. 8(3). e14350–e14350. 7 indexed citations
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Stelt, Inge van der, et al.. (2019). Replacing Part of Glucose with Galactose in the Postweaning Diet Protects Female But Not Male Mice from High-Fat Diet–Induced Adiposity in Later Life. Journal of Nutrition. 149(7). 1140–1148. 10 indexed citations
9.
Swarts, Hans J. M., et al.. (2018). Direct and Long-Term Metabolic Consequences of Lowly vs. Highly-Digestible Starch in the Early Post-Weaning Diet of Mice. Nutrients. 10(11). 1788–1788. 8 indexed citations
10.
Konstanti, Prokopis, Hans J. M. Swarts, Nils Billecke, et al.. (2018). Non-invasive continuous real-time in vivo analysis of microbial hydrogen production shows adaptation to fermentable carbohydrates in mice. Scientific Reports. 8(1). 15351–15351. 27 indexed citations
11.
Suárez‐Diez, María, et al.. (2018). A Constraint-Based Model Analysis of Enterocyte Mitochondrial Adaptation to Dietary Interventions of Lipid Type and Lipid Load. Frontiers in Physiology. 9. 749–749. 3 indexed citations
12.
Suárez‐Diez, María, et al.. (2017). Predicting the murine enterocyte metabolic response to diets that differ in lipid and carbohydrate composition. Scientific Reports. 7(1). 8784–8784. 7 indexed citations
13.
Hil, E.F. Hoek–van den, Evert M. van Schothorst, Inge van der Stelt, et al.. (2015). Direct comparison of metabolic health effects of the flavonoids quercetin, hesperetin, epicatechin, apigenin and anthocyanins in high-fat-diet-fed mice. Genes & Nutrition. 10(4). 469–469. 84 indexed citations
14.
Hil, E.F. Hoek–van den, Evert M. van Schothorst, Inge van der Stelt, et al.. (2015). Quercetin tests negative for genotoxicity in transcriptome analyses of liver and small intestine of mice. Food and Chemical Toxicology. 81. 34–39. 16 indexed citations
15.
Duivenvoorde, Loes P. M., Evert M. van Schothorst, Hans J. M. Swarts, & Jaap Keijer. (2014). Assessment of Metabolic Flexibility of Old and Adult Mice Using Three Noninvasive, Indirect Calorimetry-Based Treatments. The Journals of Gerontology Series A. 70(3). 282–293. 24 indexed citations
16.
Hil, E.F. Hoek–van den, Jaap Keijer, Annelies Bunschoten, et al.. (2013). Correction: Quercetin Induces Hepatic Lipid Omega-Oxidation and Lowers Serum Lipid Levels in Mice. PLoS ONE. 8(9). 16 indexed citations
17.
Hil, E.F. Hoek–van den, Jaap Keijer, Annelies Bunschoten, et al.. (2013). Quercetin Induces Hepatic Lipid Omega-Oxidation and Lowers Serum Lipid Levels in Mice. PLoS ONE. 8(1). e51588–e51588. 74 indexed citations
18.
Kipp, Anna P., Antje Banning, Evert M. van Schothorst, et al.. (2009). Four selenoproteins, protein biosynthesis, and Wnt signalling are particularly sensitive to limited selenium intake in mouse colon. Molecular Nutrition & Food Research. 53(12). 1561–1572. 99 indexed citations
19.
Baysal, Bora E., et al.. (1997). A High-Resolution STS, EST, and Gene-Based Physical Map of the Hereditary Paraganglioma Region on Chromosome 11q23. Genomics. 44(2). 214–221. 34 indexed citations
20.
Heutink, Peter, Evert M. van Schothorst, A. Bardoel, et al.. (1994). Further Localization of the Genefor Hereditary Paragangliomasand Evidence for Linkage inUnrelated Families. European Journal of Human Genetics. 2(3). 148–158. 56 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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