Marco van Eijk
Impact in
- Immunology top 2%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Physiology top 2%
- Lysosomal Storage Disorders Research
Papers in
-
- Studies on Chitinases and Chitosanases 10
- Sphingolipid Metabolism and Signaling 7
- Glycosylation and Glycoproteins Research 6
- Immunology 23
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 7
- Immune cells in cancer 6
- Co-authors
- Johannes M. F. G. Aerts (35 shared papers)C.H. de Groot (7 shared papers)Rolf G. Boot (18 shared papers)Mireille J. Serlie (5 shared papers)Jörg Hamann (8 shared papers)Roelof Ottenhoff (17 shared papers)Xiaoyuan Xu (1 shared paper)Anthony W. Ferrante (1 shared paper)
- Journals
- PLoS ONE (6 papers)The Journal of Immunology (5 papers)International Journal of Molecular Sciences (4 papers)European Journal of Immunology (3 papers)Chemistry and Physics of Lipids (3 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Marco van Eijk
60 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 116
- Immunology 1.4k
- Physiology 920
- Neurology 275
- Molecular Biology 1.8k
- Epidemiology 681
Countries citing papers authored by Marco van Eijk
This map shows the geographic impact of Marco van Eijk'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 Marco van Eijk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco van Eijk more than expected).
Fields of papers citing papers by Marco van Eijk
This network shows the impact of papers produced by Marco van Eijk. 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 Marco van Eijk. The network helps show where Marco van Eijk may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco van Eijk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 415 | |
| 2 | 2000 | 382 | |
| 3 | 2011 | 333 | |
| 4 | 2005 | 261 | |
| 5 | 2007 | 258 | |
| 6 | 2000 | 149 | |
| 7 | 2012 | 121 | |
| 8 | 2007 | 114 | |
| 9 | 1999 | 108 | |
| 10 | 2009 | 105 | |
| 11 | 2009 | 97 | |
| 12 | 2009 | 86 | |
| 13 | 2017 | 84 | |
| 14 | 2009 | 80 | |
| 15 | 2006 | 80 | |
| 16 | 2001 | 77 | |
| 17 | 2012 | 66 | |
| 18 | 2014 | 65 | |
| 19 | 2016 | 65 | |
| 20 | 1999 | 62 |
About Marco van Eijk
Marco van Eijk is a scholar working on Molecular Biology, Immunology, Physiology, Epidemiology and Cell Biology, having authored 61 papers that have together received 4.1k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (14 papers), Studies on Chitinases and Chitosanases (10 papers), Carbohydrate Chemistry and Synthesis (9 papers), T-cell and B-cell Immunology (8 papers), Sphingolipid Metabolism and Signaling (7 papers), Immunotherapy and Immune Responses (7 papers), Glycosylation and Glycoproteins Research (6 papers) and Immune cells in cancer (6 papers). The work is most often cited by research in Immunology (1.4k citations), Physiology (920 citations), Neurology (275 citations), Molecular Biology (1.8k citations) and Epidemiology (681 citations). Marco van Eijk has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Johannes M. F. G. Aerts, C.H. de Groot, Rolf G. Boot, Mireille J. Serlie, Jörg Hamann, Roelof Ottenhoff, Xiaoyuan Xu, Anthony W. Ferrante, Alicja A. Skowronski and Eva Jakobson. Their work appears in journals such as PLoS ONE, The Journal of Immunology, International Journal of Molecular Sciences, European Journal of Immunology and Chemistry and Physics of Lipids.
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.