Peter van Dijken

575 citations
12 papers · 484 · h-index 9

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 3
    • Chemical Synthesis and Analysis 2
    • Advanced biosensing and bioanalysis techniques 1
    • Cellular Mechanics and Interactions 5
    • Cellular transport and secretion 2
    • Microtubule and mitosis dynamics 2

Peter van Dijken

12 papers receiving 475 citations

Peers

Peter van Dijken
Comparison fields: 5 of 66
  • Neurology 116
  • Nutrition and Dietetics 93
  • Molecular Biology 349
  • Cell Biology 69
  • Immunology 67
Replace Petra Parizek with:
Petra Parizek Switzerland
Salit Tzaban Israel
Nikolaj Zuleger United Kingdom
David N. Powers United States
Karen J. Lomax United States
Michelle Ozaki United States
Tim Gilmartin United States
Noriyo Tokuda Japan
Christopher M. Hosfield Canada
Charles V. Olson United States
Peter van Dijken relative to Petra Parizek Switzerland Petra Parizek's profile →
Citations per field
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Petra Parizek · 1×
Citations per year

Countries citing papers authored by Peter van Dijken

Since Specialization
Citations

This map shows the geographic impact of Peter van Dijken'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 Peter van Dijken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter van Dijken more than expected).

Fields of papers citing papers by Peter van Dijken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter van Dijken. 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 Peter van Dijken. The network helps show where Peter van Dijken may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter van Dijken, 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 Peter van Dijken Line = papers co-authored together Peter van Dijken links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1993182
2 2004105
3 200449
4 199549
5 199720
6 199719
7 200918
8 200111
9 19919
10 19988
11 19958
12
Biochemistry and genetics of inositol phosphate metabolism in Dictyostelium
19996

About Peter van Dijken

Peter van Dijken is a scholar working on Molecular Biology, Cell Biology, Ecology, Evolution, Behavior and Systematics, Immunology and Organic Chemistry, having authored 12 papers that have together received 484 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Biocrusts and Microbial Ecology (2 papers), Cellular transport and secretion (2 papers), Chemical Synthesis and Analysis (2 papers), Microtubule and mitosis dynamics (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Neurology (116 citations), Nutrition and Dietetics (93 citations), Molecular Biology (349 citations), Cell Biology (69 citations) and Immunology (67 citations). Peter van Dijken has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Mary T. Huber, Rong Wang, David A. Harris, Peter J.M. Van Haastert, Jos Joore, Klaartje Kok, Sander H. Diks, Tom O’Toole, Maikel P. Peppelenbosch and Daan W. Hommes. Their work appears in journals such as Journal of Biological Chemistry, Differentiation, European Journal of Biochemistry, FEBS Letters and Biochemical Journal.

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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