Marco van Eijk

5.1k citations
61 papers · 4.1k · h-index 36

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
    • T-cell and B-cell Immunology 8
    • Immunotherapy and Immune Responses 7
    • Immune cells in cancer 6

Marco van Eijk

60 papers receiving 4.1k citations

Peers

Marco van Eijk
Comparison fields: 5 of 116
  • Immunology 1.4k
  • Physiology 920
  • Neurology 275
  • Molecular Biology 1.8k
  • Epidemiology 681
Replace S. Courtney Frasch with:
S. Courtney Frasch United States
Mingui Fu United States
Marten Szibor Germany
Susan R. Schwab United States
Yoe‐Sik Bae South Korea
Bradlee L. Heckmann United States
Alexey V. Pshezhetsky Canada
Tomasz Kordula United States
Satoshi Matsuda Japan
Nicholas Joza France
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Citations per field
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S. Courtney Frasch · 1×
Citations per year

Countries citing papers authored by Marco van Eijk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Marco van Eijk Line = papers co-authored together Marco van Eijk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013415
2 2000382
3 2011333
4 2005261
5 2007258
6 2000149
7 2012121
8 2007114
9 1999108
10 2009105
11 200997
12 200986
13 201784
14 200980
15 200680
16 200177
17 201266
18 201465
19 201665
20 199962

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.

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