Marco van Eijk

5.1k citations
66 papers · 4.3k · h-index 35

Impact in

  • Immunology top 2%
    • Immune cells in cancer
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Physiology top 2%
    • Lysosomal Storage Disorders Research

Papers in

    • Lysosomal Storage Disorders Research 14
    • T-cell and B-cell Immunology 5
    • Atherosclerosis and Cardiovascular Diseases 5
    • Immune cells in cancer 4

Marco van Eijk

66 papers receiving 4.2k citations

Peers

Marco van Eijk
Comparison fields: 5 of 105
  • Immunology 812
  • Physiology 668
  • Neurology 183
  • Molecular Biology 1.3k
  • Epidemiology 565
Replace Marten Szibor with:
Marten Szibor Germany
Yoe‐Sik Bae South Korea
Zbigniew Zasłona Ireland
Anthony J. Covarrubias United States
Mingui Fu United States
Anje Cauwels Belgium
Evelyn Orsó Germany
Wanghua Gong United States
Madhavi J. Rane United States
Riccardo Bertini Italy
Marco van Eijk relative to Marten Szibor Germany Marten Szibor's profile →
Citations per field
00.5×1.5×2×2.5×
Marten Szibor · 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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013436
2 2000390
3 2011339
4 2005268
5 2007262
6 2000149
7 2012124
8 2007121
9 1999106
10 2009106
11 200997
12 200990
13 201790
14 200684
15 200983
16 200178
17 201671
18 201671
19 201470
20 201268

About Marco van Eijk

Marco van Eijk is a scholar working on Physiology, Immunology, Molecular Biology, Epidemiology and Biochemistry, having authored 66 papers that have together received 4.3k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (14 papers), Sphingolipid Metabolism and Signaling (8 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), T-cell and B-cell Immunology (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Immune cells in cancer (4 papers), Cell death mechanisms and regulation (4 papers) and Studies on Chitinases and Chitosanases (3 papers). The work is most often cited by research in Immunology (812 citations), Physiology (668 citations), Neurology (183 citations), Molecular Biology (1.3k citations) and Epidemiology (565 citations). Marco van Eijk has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Johannes M. F. G. Aerts, Rolf G. Boot, Mireille J. M. Serlie, Jörg Hamann, Cornelis Hendrik de Groot, Cindy P. A. A. van Roomen, Roelof Ottenhoff, Xiaoyuan Xu, Anthony W. Ferrante and Alicja A. Skowronski. Their work appears in journals such as PLoS ONE, The Journal of Immunology, International Journal of Molecular Sciences, Diabetes and European Journal of Immunology.

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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