Marcel G. M. Wolfs

1.3k total citations
9 papers, 530 citations indexed

About

Marcel G. M. Wolfs is a scholar working on Rheumatology, Genetics and Molecular Biology. According to data from OpenAlex, Marcel G. M. Wolfs has authored 9 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Rheumatology, 4 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Marcel G. M. Wolfs's work include Moyamoya disease diagnosis and treatment (3 papers), Genetic Associations and Epidemiology (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Marcel G. M. Wolfs is often cited by papers focused on Moyamoya disease diagnosis and treatment (3 papers), Genetic Associations and Epidemiology (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Marcel G. M. Wolfs collaborates with scholars based in Netherlands, Germany and Estonia. Marcel G. M. Wolfs's co-authors include Cisca Wijmenga, Marten H. Hofker, Wim A. Buurman, Sander S. Rensen, Lude Franke, Jingyuan Fu, Ynte M. Ruigrok, Gabriël J.E. Rinkel, Patrick Deelen and Ann Driessen and has published in prestigious journals such as Stroke, Human Molecular Genetics and Journal of Hepatology.

In The Last Decade

Marcel G. M. Wolfs

9 papers receiving 523 citations

Peers

Marcel G. M. Wolfs

MB

GENET

EPIDE

EDM

NEURO

Iwona Żak Poland

Hideki Horibe Japan

Sufyan G. Sayyed India

J Fauvel France

Péter Reismann Hungary

Liene Ņikitina-Zaķe Latvia

E.I. Schwartz Russia

R A Norum United States

Ling Jie Wang China

B. Perdereau France

Iwona Żak Poland

Marcel G. M. Wolfs

133 ×0.6

MB

87 ×0.5

GENET

79 ×0.7

EPIDE

90 ×1.2

EDM

15 ×0.2

NEURO

Citations per year, relative to Marcel G. M. Wolfs Marcel G. M. Wolfs (= 1×) peers Iwona Żak

Countries citing papers authored by Marcel G. M. Wolfs

Since Specialization

Citations

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

Fields of papers citing papers by Marcel G. M. Wolfs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcel G. M. Wolfs. 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 Marcel G. M. Wolfs. The network helps show where Marcel G. M. Wolfs may publish in the future.

Co-authorship network of co-authors of Marcel G. M. Wolfs

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

All Works

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9 of 9 papers shown

1.

Nies, Vera J. M., Dicky Struik, Marcel G. M. Wolfs, et al.. (2017). TUB gene expression in hypothalamus and adipose tissue and its association with obesity in humans. International Journal of Obesity. 42(3). 376–383. 15 indexed citations

2.

Wolfs, Marcel G. M., Nanda Gruben, Sander S. Rensen, et al.. (2015). Determining the association between adipokine expression in multiple tissues and phenotypic features of non-alcoholic fatty liver disease in obesity. Nutrition and Diabetes. 5(2). e146–e146. 47 indexed citations

3.

Bonder, Marc Jan, Silva Kasela, Mart Kals, et al.. (2014). Genetic and epigenetic regulation of gene expression in fetal and adult human livers. BMC Genomics. 15(1). 860–860. 93 indexed citations

4.

Fu, Jingyuan, Marcel G. M. Wolfs, Patrick Deelen, et al.. (2012). Unraveling the Regulatory Mechanisms Underlying Tissue-Dependent Genetic Variation of Gene Expression. PLoS Genetics. 8(1). e1002431–e1002431. 160 indexed citations

5.

Gaens, Katrien H.J., Petra Niessen, Sander S. Rensen, et al.. (2011). Endogenous formation of Nε-(carboxymethyl)lysine is increased in fatty livers and induces inflammatory markers in an in vitro model of hepatic steatosis. Journal of Hepatology. 56(3). 647–655. 92 indexed citations

6.

Wolfs, Marcel G. M., Marten H. Hofker, Cisca Wijmenga, & Theo van Haeften. (2009). Type 2 Diabetes Mellitus: New Genetic Insights will Lead to New Therapeutics. Current Genomics. 10(2). 110–118. 27 indexed citations

7.

Ruigrok, Ynte M., Cisca Wijmenga, Gabriël J.E. Rinkel, et al.. (2008). Genomewide Linkage in a Large Dutch Family With Intracranial Aneurysms. Stroke. 39(4). 1096–1102. 26 indexed citations

8.

Ruigrok, Ynte M., et al.. (2007). Evidence in favor of the contribution of genes involved in the maintenance of the extracellular matrix of the arterial wall to the development of intracranial aneurysms. Stroke. 38(2). 594–594. 13 indexed citations

9.

Ruigrok, Ynte M., et al.. (2006). Evidence in favor of the contribution of genes involved in the maintenance of the extracellular matrix of the arterial wall to the development of intracranial aneurysms. Human Molecular Genetics. 15(22). 3361–3368. 57 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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