Jan B. van Klinken

5.2k total citations
50 papers, 1.5k citations indexed

About

Jan B. van Klinken is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Jan B. van Klinken has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 23 papers in Physiology and 10 papers in Epidemiology. Recurrent topics in Jan B. van Klinken's work include Adipose Tissue and Metabolism (17 papers), Diet and metabolism studies (11 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Jan B. van Klinken is often cited by papers focused on Adipose Tissue and Metabolism (17 papers), Diet and metabolism studies (11 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Jan B. van Klinken collaborates with scholars based in Netherlands, United States and Germany. Jan B. van Klinken's co-authors include Ko Willems van Dijk, Patrick C.N. Rensen, Louis M. Havekes, J. Wouter Jukema, Vanessa van Harmelen, Hanno Pijl, Sjoerd A.A. van den Berg, Ingrid M. Jazet, Mirjam A. Lips and Ignace M. C. Janssen and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Jan B. van Klinken

48 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan B. van Klinken Netherlands 24 646 501 338 274 236 50 1.5k
Dawn K. Coletta United States 19 732 1.1× 839 1.7× 400 1.2× 246 0.9× 336 1.4× 61 1.7k
Alberto O. Chávez United States 18 539 0.8× 731 1.5× 281 0.8× 312 1.1× 273 1.2× 26 1.6k
Luca Parrillo Italy 17 746 1.2× 695 1.4× 556 1.6× 187 0.7× 247 1.0× 28 1.8k
Pierre‐Henri Ducluzeau France 26 502 0.8× 682 1.4× 433 1.3× 237 0.9× 360 1.5× 49 1.8k
Yii‐Der Ida Chen United States 23 562 0.9× 576 1.1× 330 1.0× 270 1.0× 547 2.3× 54 1.8k
Manuel Macías‐González Spain 26 684 1.1× 765 1.5× 386 1.1× 276 1.0× 300 1.3× 78 1.9k
Natalie A. Mellett Australia 24 539 0.8× 872 1.7× 323 1.0× 266 1.0× 193 0.8× 68 1.9k
Anne‐Marie Lundsgaard Denmark 22 722 1.1× 548 1.1× 334 1.0× 147 0.5× 271 1.1× 41 1.4k
Theresa V. Rohm Switzerland 11 351 0.5× 430 0.9× 362 1.1× 171 0.6× 234 1.0× 20 1.4k
Agnieszka Nikołajuk Poland 25 768 1.2× 630 1.3× 629 1.9× 204 0.7× 325 1.4× 89 2.1k

Countries citing papers authored by Jan B. van Klinken

Since Specialization
Citations

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

Fields of papers citing papers by Jan B. van Klinken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan B. van Klinken. 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 Jan B. van Klinken. The network helps show where Jan B. van Klinken may publish in the future.

Co-authorship network of co-authors of Jan B. van Klinken

This figure shows the co-authorship network connecting the top 25 collaborators of Jan B. van Klinken. A scholar is included among the top collaborators of Jan B. van Klinken 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 Jan B. van Klinken. Jan B. van Klinken 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.
Schomakers, Bauke V., Peter T. Simpson, Michel van Weeghel, et al.. (2025). Integrated multi-omics mapping of mitochondrial dysfunction and substrate preference in Barth syndrome cardiac tissue. EMBO Molecular Medicine. 17(11). 3227–3246.
2.
Harder, Aster V. E., Jan B. van Klinken, Robin M. van Dongen, et al.. (2025). Correlation of Amine Concentrations in Blood and Cerebrospinal Fluid in Healthy Volunteers and Migraineurs. International Journal of Molecular Sciences. 26(20). 9899–9899.
3.
Vaz, Frédéric M., Jan B. van Klinken, Henk van Lenthe, et al.. (2024). Discovery of novel diagnostic biomarkers for Sjögren-Larsson syndrome by untargeted lipidomics. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1869(2). 159447–159447. 3 indexed citations
4.
Berg, Marlene van den, Roelof Ottenhoff, Melanie Loix, et al.. (2022). Sterol-regulated transmembrane protein TMEM86a couples LXR signaling to regulation of lysoplasmalogens in macrophages. Journal of Lipid Research. 64(2). 100325–100325. 7 indexed citations
5.
Sailer, S., Katharina Lackner, Mia L. Pras‐Raves, et al.. (2022). Adaptations of the 3T3-L1 adipocyte lipidome to defective ether lipid catabolism upon Agmo knockdown. Journal of Lipid Research. 63(6). 100222–100222. 4 indexed citations
7.
Dorninger, Fabian, Frédéric M. Vaz, Hans R. Waterham, et al.. (2022). Ether lipid transfer across the blood-brain and placental barriers does not improve by inactivation of the most abundant ABC transporters. Brain Research Bulletin. 189. 69–79. 6 indexed citations
8.
Ibi, Dorina, Raymond Noordam, Jan B. van Klinken, et al.. (2020). Genome-wide Association Study of the Postprandial Triglyceride Response Yields Common Genetic Variation in Hepatic Lipase (LIPC). Circulation Genomic and Precision Medicine. 13(4). e002693–e002693. 3 indexed citations
9.
Held, Ntsiki M., Eline N. Kuipers, Michel van Weeghel, et al.. (2018). Pyruvate dehydrogenase complex plays a central role in brown adipocyte energy expenditure and fuel utilization during short-term beta-adrenergic activation. Scientific Reports. 8(1). 9562–9562. 43 indexed citations
10.
Zhuang, Li, Jimmy F.P. Berbée, Annette E. Neele, et al.. (2018). Lipopolysaccharide Lowers Cholesteryl Ester Transfer Protein by Activating F4/80 + Clec4f + Vsig4 + Ly6C Kupffer Cell Subsets. Journal of the American Heart Association. 7(6). 76 indexed citations
11.
Blauw, Lisanne L., Ruifang Li‐Gao, Raymond Noordam, et al.. (2018). CETP (Cholesteryl Ester Transfer Protein) Concentration. Circulation Genomic and Precision Medicine. 11(5). e002034–e002034. 31 indexed citations
12.
Liu, Jun, Sabina Semiz, Sven J. van der Lee, et al.. (2017). Metabolomics based markers predict type 2 diabetes in a 14-year follow-up study. Metabolomics. 13(9). 104–104. 63 indexed citations
13.
Li‐Gao, Ruifang, Renée de Mutsert, Patrick C.N. Rensen, et al.. (2017). Postprandial metabolite profiles associated with type 2 diabetes clearly stratify individuals with impaired fasting glucose. Metabolomics. 14(1). 13–13. 18 indexed citations
14.
Lips, Mirjam A., Jan B. van Klinken, Hanno Pijl, et al.. (2016). Weight loss induced by very low calorie diet is associated with a more beneficial systemic inflammatory profile than by Roux-en-Y gastric bypass. Metabolism. 65(11). 1614–1620. 33 indexed citations
15.
Demirkan, Ayşe, Peter Henneman, Aswin Verhoeven, et al.. (2015). Insight in Genome-Wide Association of Metabolite Quantitative Traits by Exome Sequence Analyses. PLoS Genetics. 11(1). e1004835–e1004835. 41 indexed citations
16.
Dharuri, Harish, Ayşe Demirkan, Jan B. van Klinken, et al.. (2014). Genetics of the human metabolome, what is next?. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(10). 1923–1931. 23 indexed citations
17.
Dharuri, Harish, Peter A.C. ’t Hoen, Jan B. van Klinken, et al.. (2014). Downregulation of the acetyl-CoA metabolic network in adipose tissue of obese diabetic individuals and recovery after weight loss. Diabetologia. 57(11). 2384–2392. 38 indexed citations
18.
Kühnast, Susan, Mieke C. Louwe, Mattijs M. Heemskerk, et al.. (2013). Niacin Reduces Atherosclerosis Development in APOE*3Leiden.CETP Mice Mainly by Reducing NonHDL-Cholesterol. PLoS ONE. 8(6). e66467–e66467. 35 indexed citations
19.
Klinken, Jan B. van, Sjoerd A.A. van den Berg, Louis M. Havekes, & Ko Willems van Dijk. (2012). Estimation of Activity Related Energy Expenditure and Resting Metabolic Rate in Freely Moving Mice from Indirect Calorimetry Data. PLoS ONE. 7(5). e36162–e36162. 50 indexed citations
20.
Berg, Sjoerd A.A. van den, Miranda Nabben, Silvia Bijland, et al.. (2010). High levels of whole-body energy expenditure are associated with a lower coupling of skeletal muscle mitochondria in C57Bl/6 mice. Metabolism. 59(11). 1612–1618. 13 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026