Karen van Eunen

8.4k total citations · 4 hit papers
36 papers, 6.4k citations indexed

About

Karen van Eunen is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Karen van Eunen has authored 36 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 6 papers in Physiology and 4 papers in Epidemiology. Recurrent topics in Karen van Eunen's work include Microbial Metabolic Engineering and Bioproduction (17 papers), Fungal and yeast genetics research (9 papers) and Gene Regulatory Network Analysis (7 papers). Karen van Eunen is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (17 papers), Fungal and yeast genetics research (9 papers) and Gene Regulatory Network Analysis (7 papers). Karen van Eunen collaborates with scholars based in Netherlands, United Kingdom and Germany. Karen van Eunen's co-authors include Barbara M. Bakker, Dirk‐Jan Reijngoud, Gijs den Besten, Albert K. Groen, Koen Venema, Albert Gerding, Rick Havinga, Theo H. van Dijk, Aycha Bleeker and Maaike H. Oosterveer and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Karen van Eunen

36 papers receiving 6.3k 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.

The role of short-chain fatty acids in the interplay between diet, gut microbiota, and host energy metabolism

2013 3.6k citations Gijs den Besten, Karen van Eunen et al. Journal of Lipid Research profile →
Short-Chain Fatty Acids Protect Against High-Fat Diet–Induced Obesity via a PPARγ-Dependent Switch From Lipogenesis to Fat Oxidation

2015 881 citations Gijs den Besten, Aycha Bleeker et al. profile →
Gut-derived short-chain fatty acids are vividly assimilated into host carbohydrates and lipids

2013 455 citations Gijs den Besten, Rick Havinga et al. profile →
A systems study reveals concurrent activation of AMPK and mTOR by amino acids

2016 378 citations Piero Dalle Pezze, Stefanie Ruf 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
Karen van Eunen Netherlands	21	4.2k	2.3k	893	749	706	36	6.4k
Ara Koh South Korea	15	4.6k 1.1×	2.1k 0.9×	846 0.9×	875 1.2×	621 0.9×	43	6.4k
Laurence Macia Australia	35	3.8k 0.9×	2.2k 1.0×	820 0.9×	703 0.9×	739 1.0×	87	7.2k
Marco Aurélio Ramirez Vinolo Brazil	36	3.7k 0.9×	1.8k 0.8×	925 1.0×	614 0.8×	765 1.1×	82	6.7k
Hagit Shapiro Israel	26	3.2k 0.8×	2.0k 0.9×	861 1.0×	467 0.6×	982 1.4×	42	6.1k
Tiejun Li China	51	4.6k 1.1×	1.9k 0.8×	1.2k 1.4×	1.1k 1.5×	502 0.7×	259	10.1k
Hao Ding China	14	3.8k 0.9×	2.3k 1.0×	468 0.5×	534 0.7×	718 1.0×	47	5.2k
María Isabel Queipo‐Ortuño Spain	42	4.1k 1.0×	2.1k 0.9×	734 0.8×	1.2k 1.6×	1.3k 1.9×	100	7.6k
Jasmine Chong Canada	18	6.5k 1.6×	1.5k 0.7×	681 0.8×	879 1.2×	885 1.3×	27	11.6k
Philippe Gérard France	36	4.1k 1.0×	2.2k 1.0×	623 0.7×	691 0.9×	1.5k 2.2×	158	6.8k
Mark V. Boekschoten Netherlands	47	3.5k 0.8×	2.4k 1.1×	514 0.6×	430 0.6×	1.2k 1.7×	112	6.8k

Countries citing papers authored by Karen van Eunen

Since Specialization

Citations

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

Fields of papers citing papers by Karen van Eunen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen van Eunen. 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 Karen van Eunen. The network helps show where Karen van Eunen may publish in the future.

Co-authorship network of co-authors of Karen van Eunen

This figure shows the co-authorship network connecting the top 25 collaborators of Karen van Eunen. A scholar is included among the top collaborators of Karen van Eunen 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 Karen van Eunen. Karen van Eunen 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

Langelaar‐Makkinje, Miriam, Albert Gerding, Trijnie Bos, et al.. (2024). Precision-cut liver slices as an ex vivo model to assess impaired hepatic glucose production. Communications Biology. 7(1). 1479–1479. 2 indexed citations

Vieira‐Lara, Marcel A., Nicolette Huijkman, Albert Gerding, et al.. (2023). Personalised modelling of clinical heterogeneity between medium-chain acyl-CoA dehydrogenase patients. BMC Biology. 21(1). 184–184. 5 indexed citations

Vieira‐Lara, Marcel A., Melanie Wijsman, Marijke A. H. Luttik, et al.. (2022). Full humanization of the glycolytic pathway in Saccharomyces cerevisiae. Cell Reports. 39(13). 111010–111010. 15 indexed citations

Eunen, Karen van, et al.. (2017). The promiscuous enzyme medium-chain 3-keto-acyl-CoA thiolase triggers a vicious cycle in fatty-acid beta-oxidation. PLoS Computational Biology. 13(4). e1005461–e1005461. 25 indexed citations

Pezze, Piero Dalle, Stefanie Ruf, Annika Sonntag, et al.. (2016). A systems study reveals concurrent activation of AMPK and mTOR by amino acids. Nature Communications. 7(1). 13254–13254. 378 indexed citations breakdown →

Eunen, Karen van, Catharina M.L. Volker‐Touw, Albert Gerding, et al.. (2016). Living on the edge: substrate competition explains loss of robustness in mitochondrial fatty-acid oxidation disorders. BMC Biology. 14(1). 107–107. 20 indexed citations

Besten, Gijs den, Albert Gerding, Theo H. van Dijk, et al.. (2015). Protection against the Metabolic Syndrome by Guar Gum-Derived Short-Chain Fatty Acids Depends on Peroxisome Proliferator-Activated Receptor γ and Glucagon-Like Peptide-1. PLoS ONE. 10(8). e0136364–e0136364. 111 indexed citations

Rao, Shodhan, Arjan van der Schaft, Karen van Eunen, Barbara M. Bakker, & Bayu Jayawardhana. (2014). A model reduction method for biochemical reaction networks. BMC Systems Biology. 8(1). 52–52. 53 indexed citations

Besten, Gijs den, Rick Havinga, Aycha Bleeker, et al.. (2014). The Short-Chain Fatty Acid Uptake Fluxes by Mice on a Guar Gum Supplemented Diet Associate with Amelioration of Major Biomarkers of the Metabolic Syndrome. PLoS ONE. 9(9). e107392–e107392. 61 indexed citations

10.

Besten, Gijs den, Karen van Eunen, Albert K. Groen, et al.. (2013). The role of short-chain fatty acids in the interplay between diet, gut microbiota, and host energy metabolism. Journal of Lipid Research. 54(9). 2325–2340. 3650 indexed citations breakdown →

11.

Eunen, Karen van, Albert Gerding, Aycha Bleeker, et al.. (2013). Biochemical Competition Makes Fatty-Acid β-Oxidation Vulnerable to Substrate Overload. PLoS Computational Biology. 9(8). e1003186–e1003186. 51 indexed citations

12.

Eunen, Karen van, et al.. (2012). Testing Biochemistry Revisited: How In Vivo Metabolism Can Be Understood from In Vitro Enzyme Kinetics. PLoS Computational Biology. 8(4). e1002483–e1002483. 72 indexed citations

13.

Adamczyk, Małgorzata, Karen van Eunen, Barbara M. Bakker, & Hans V. Westerhoff. (2011). Enzyme Kinetics for Systems Biology. Methods in enzymology on CD-ROM/Methods in enzymology. 500. 233–257. 56 indexed citations

14.

Eunen, Karen van, Sergio Rossell, Jildau Bouwman, Hans V. Westerhoff, & Barbara M. Bakker. (2011). Quantitative Analysis of Flux Regulation Through Hierarchical Regulation Analysis. Methods in enzymology on CD-ROM/Methods in enzymology. 500. 571–595. 13 indexed citations

15.

Bouwman, Jildau, et al.. (2010). Metabolic regulation rather than de novo enzyme synthesis dominates the osmo‐adaptation of yeast. Yeast. 28(1). 43–53. 35 indexed citations

16.

Eunen, Karen van, Jildau Bouwman, Pascale Daran‐Lapujade, et al.. (2010). Measuring enzyme activities under standardized in vivo ‐like conditions for systems biology. FEBS Journal. 277(3). 749–760. 138 indexed citations

17.

Rossell, Sergio, Alexander Lindenbergh, Coen C. van der Weijden, et al.. (2007). Mixed and diverse metabolic and gene-expression regulation of the glycolytic and fermentative pathways in response to aHXK2deletion inSaccharomyces cerevisiae. FEMS Yeast Research. 8(1). 155–164. 13 indexed citations

18.

Bruggeman, Frank J., Sergio Rossell, Karen van Eunen, et al.. (2007). Systems Biology and the Reconstruction of the Cell: From Molecular Components to Integral Function. PubMed. 43. 239–262. 2 indexed citations

19.

Bruggeman, Frank J., J. de Haan, Jildau Bouwman, et al.. (2006). Time-dependent hierarchical regulation analysis: deciphering cellular adaptation. PubMed. 153(5). 318–318. 21 indexed citations

20.

Schneider, Maria Victoria, et al.. (2003). Gene flow between arrhenotokous and thelytokous populations of Venturia canescens (Hymenoptera). Heredity. 90(3). 260–267. 32 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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