G. W. van Eijk

481 citations
32 papers · 388 · h-index 14

Impact in

  • Cell Biology top 10%
    • Plant Pathogens and Fungal Diseases
  • Pharmacology top 10%
    • Fungal Biology and Applications
    • Microbial Natural Products and Biosynthesis

Papers in

    • Fungal Biology and Applications 11
    • Microbial Natural Products and Biosynthesis 5
    • Mycorrhizal Fungi and Plant Interactions 5

G. W. van Eijk

32 papers receiving 362 citations

Peers

G. W. van Eijk
Comparison fields: 5 of 59
  • Cell Biology 127
  • Pharmacology 125
  • Plant Science 207
  • Biotechnology 42
  • Toxicology 11
Replace Michael Pople with:
Michael Pople United Kingdom
Albert Stoessl Canada
Yukio Maebayashi Japan
Surk Sik Moon South Korea
Blanca E. Hernández‐Bautista Mexico
David J. Robeson United States
M. Šturdíková Slovakia
B Kobbe United States
Abdelhak Hakiki Morocco
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Citations per field
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Michael Pople · 1×
Citations per year

Countries citing papers authored by G. W. van Eijk

Since Specialization
Citations

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

Fields of papers citing papers by G. W. van Eijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. 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 G. W. van Eijk Line = papers co-authored together G. W. 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198845
2 199333
3 198921
4 198621
5 199021
6 198219
7 197518
8 197917
9 197616
10 196915
11 199215
12 197515
13 198414
14 197813
15 198412
16 198212
17 199210
18 198110
19 19849
20 19778

About G. W. van Eijk

G. W. van Eijk is a scholar working on Pharmacology, Plant Science, Molecular Biology, Biotechnology and Cell Biology, having authored 32 papers that have together received 388 indexed citations. Recurring topics across this work include Fungal Biology and Applications (11 papers), Plant Pathogens and Fungal Diseases (6 papers), Microbial Natural Products and Biosynthesis (5 papers), Mycorrhizal Fungi and Plant Interactions (5 papers), Morinda citrifolia extract uses (4 papers), Yeasts and Rust Fungi Studies (3 papers), Phytochemical compounds biological activities (3 papers) and Microbial Metabolism and Applications (3 papers). The work is most often cited by research in Cell Biology (127 citations), Pharmacology (125 citations), Plant Science (207 citations), Biotechnology (42 citations) and Toxicology (11 citations). G. W. van Eijk has collaborated with scholars based in Netherlands, United Kingdom and Portugal. Frequent co-authors include J. de Gruyter, R. van Peer, Machiel E. Noordeloos, Karl W. Verhoeff, Mats Leeman, Don Seykens, Rosemary S. Mummery, L.R.G. Valadon, Gemma Assante and Alberto Arnone. Their work appears in journals such as Antonie van Leeuwenhoek, Phytochemistry, Cellular and Molecular Life Sciences, Tetrahedron Letters and Journal of Chromatography A.

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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