Marjan J. van Erk
- Molecular Biology top 10%
- Physiology top 5%
- Epidemiology top 10%
- Biochemistry top 2%
- Genetics top 10%
- Co-authors
- Ben van OmmenTeake KooistraH. HendriksCarina M. RubinghRobert KleemannSuzan WopereisLars VerschurenSusanne Zadelaar
- Topics
- Adipose Tissue and Metabolism (10 papers)Diet and metabolism studies (8 papers)Metabolomics and Mass Spectrometry Studies (7 papers)
- Partner nations
- NetherlandsUnited StatesSwitzerland
In The Last Decade
Marjan J. van Erk
27 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 153
- Molecular Biology 793
- Physiology 510
- Epidemiology 274
- Biochemistry 228
- Genetics 208
Countries citing papers authored by Marjan J. van Erk
This map shows the geographic impact of Marjan J. 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 J. 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 J. van Erk more than expected).
Fields of papers citing papers by Marjan J. van Erk
This network shows the impact of papers produced by Marjan J. 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 J. van Erk. The network helps show where Marjan J. van Erk may publish in the future.
Co-authorship network of co-authors of Marjan J. van Erk
This figure shows the co-authorship network connecting the top 25 collaborators of Marjan J. van Erk. A scholar is included among the top collaborators of Marjan J. 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 J. van Erk. Marjan J. van Erk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 72 | |
| 3 | 27 | |
| 4 | 8 | |
| 5 | 26 | |
| 6 | 128 | |
| 7 | 336 | |
| 8 | 184 | |
| 9 | 36 | |
| 10 | 29 | |
| 11 | 90 | |
| 12 | 97 | |
| 13 | 12 | |
| 14 | Increased dietary cholesterol-induced atherosclerosis is associated with liver inflammation: Identification of novel regulatory pathways and transcriptional regulators involved in switch from metabolic adaptation to inflammatory state. | 1 |
| 15 | 12 | |
| 16 | 195 | |
| 17 | 64 | |
| 18 | 14 | |
| 19 | 89 | |
| 20 | 104 |
About Marjan J. van Erk
Marjan J. van Erk is a scholar working on Aging, Physiology and Molecular Medicine, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Diet and metabolism studies (8 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). The work is most often cited by research in Biochemistry (228 citations), Physiology (510 citations) and Molecular Medicine (86 citations). Marjan J. van Erk has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Ben van Ommen, Teake Kooistra, H. Hendriks, Carina M. Rubingh, Robert Kleemann, Suzan Wopereis, Lars Verschuren, Susanne Zadelaar, Nicole H.P. Cnubben and Age K. Smilde. Their work appears in journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.
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.