Marjan van Erk

44 total papers · 1.1k total citations
19 papers, 767 citations indexed

About

Marjan van Erk is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Marjan van Erk has authored 19 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Physiology and 6 papers in Genetics. Recurrent topics in Marjan van Erk's work include Diet and metabolism studies (6 papers), Adipose Tissue and Metabolism (5 papers) and Bioinformatics and Genomic Networks (5 papers). Marjan van Erk is often cited by papers focused on Diet and metabolism studies (6 papers), Adipose Tissue and Metabolism (5 papers) and Bioinformatics and Genomic Networks (5 papers). Marjan van Erk collaborates with scholars based in Netherlands, United Kingdom and Germany. Marjan van Erk's co-authors include Robert Kleemann, Teake Kooistra, Lars Verschuren, Suzan Wopereis, Ben van Ommen, Chris T. Evelo, Nicole H.P. Cnubben, Thomas Kelder, D. Margriet Ouwens and J. Hajo van Bockel and has published in prestigious journals such as PLoS ONE, Circulation Research and American Journal of Clinical Nutrition.

In The Last Decade

Marjan van Erk

19 papers receiving 738 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marjan van Erk 274 264 156 129 120 19 767
Daniela Cosentino‐Gomes 347 1.3× 170 0.6× 124 0.8× 166 1.3× 83 0.7× 23 794
L. Maria Belalcazar 173 0.6× 188 0.7× 176 1.1× 76 0.6× 83 0.7× 34 714
Sayani Banerjee 247 0.9× 132 0.5× 117 0.8× 112 0.9× 108 0.9× 31 745
Violeta Arsenescu 199 0.7× 218 0.8× 213 1.4× 166 1.3× 79 0.7× 16 858
Sarada Charugundla 486 1.8× 291 1.1× 180 1.2× 75 0.6× 65 0.5× 16 902
Melissa J. Morine 441 1.6× 243 0.9× 182 1.2× 59 0.5× 71 0.6× 31 910
James H. DeFord 342 1.2× 275 1.0× 229 1.5× 68 0.5× 79 0.7× 23 798
Jeffrey P. Rabek 552 2.0× 153 0.6× 76 0.5× 77 0.6× 56 0.5× 29 898
Juliana M. Navia‐Pelaez 334 1.2× 301 1.1× 91 0.6× 112 0.9× 43 0.4× 22 681
David Weiland 208 0.8× 91 0.3× 66 0.4× 69 0.5× 54 0.5× 15 623

Countries citing papers authored by Marjan van Erk

Since Specialization
Citations

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

Fields of papers citing papers by Marjan van Erk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marjan van Erk

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

All Works

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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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