R. V. W. van Eijk

438 citations
18 papers · 334 · h-index 12

Impact in

  • Microbiology top 10%
    • Reproductive tract infections research
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation

Papers in

R. V. W. van Eijk

17 papers receiving 292 citations

Peers

R. V. W. van Eijk
Comparison fields: 5 of 61
  • Microbiology 50
  • Immunology 114
  • Physiology 72
  • Hematology 30
  • Molecular Biology 148
Replace Toshimasa Nitta with:
Toshimasa Nitta Japan
Kabat Ea
Springer Gf United States
J Panijel France
K Shioiri-Nakano Japan
F G Staber Australia
Surya P. Manandhar United States
T. Kuwata Japan
Robert Vidmar Slovenia
Shigeki Nagao Japan
R. V. W. van Eijk relative to Toshimasa Nitta Japan Toshimasa Nitta's profile →
Citations per field
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Toshimasa Nitta · 1×
Citations per year

Countries citing papers authored by R. V. W. van Eijk

Since Specialization
Citations

This map shows the geographic impact of R. V. W. 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 R. V. W. 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 R. V. W. van Eijk more than expected).

Fields of papers citing papers by R. V. W. van Eijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. V. W. 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 R. V. W. van Eijk. The network helps show where R. V. W. van Eijk may publish in the future.

Co-authors

The 24 scholars most cited alongside R. V. W. 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 R. V. W. van Eijk Line = papers co-authored together R. V. W. van Eijk links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 198036
2 198934
3 197933
4
Transfusion syphilis, survival of Treponema pallidum in stored donor blood. II. Dose dependence of experimentally determined survival times.
198532
5 197828
6 198124
7 197723
8 198521
9 198519
10 198215
11 198115
12 198513
13 197911
14 198710
15 19857
16 19907
17 19796
18 20050

About R. V. W. van Eijk

R. V. W. van Eijk is a scholar working on Molecular Biology, Physiology, Immunology, Microbiology and Infectious Diseases, having authored 18 papers that have together received 334 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Syphilis Diagnosis and Treatment (6 papers), Immune Response and Inflammation (4 papers), Immune Cell Function and Interaction (3 papers), Reproductive tract infections research (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Virology and Viral Diseases (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Microbiology (50 citations), Immunology (114 citations), Physiology (72 citations), Hematology (30 citations) and Molecular Biology (148 citations). R. V. W. van Eijk has collaborated with scholars based in Netherlands and Germany. Frequent co-authors include Peter F. Mühlradt, Günter Rosenfelder, E Stolz, J J van der Sluis, Vojislav D. Vuzevski, Katrin Grüner, Jan D. A. van Embden, David A. Monner, Bhupendra Tank and Paul Herbrink. Their work appears in journals such as European Journal of Biochemistry, Vox Sanguinis, European Journal of Clinical Microbiology & Infectious Diseases, European Journal of Immunology and Journal of Immunological Methods.

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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