Peter van Dijken

581 citations
12 papers · 499 · h-index 9

Impact in

Papers in

    • Cellular Mechanics and Interactions 5
    • Cellular transport and secretion 2
    • Protein Kinase Regulation and GTPase Signaling 3
    • Chemical Synthesis and Analysis 2
    • Plant Reproductive Biology 1
    • Glycosylation and Glycoproteins Research 1

Peter van Dijken

12 papers receiving 490 citations

Peers

Peter van Dijken
Comparison fields: 5 of 69
  • Neurology 118
  • Nutrition and Dietetics 93
  • Molecular Biology 348
  • Cell Biology 66
  • Immunology 67
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Salit Tzaban Israel
Marty T. Lehto Canada
Eun‐Wie Cho South Korea
Karen J. Lomax United States
Charles V. Olson United States
Noriyo Tokuda Japan
Rebecca K. Donegan United States
Christopher M. Hosfield Canada
Roeland Vanhoutte Belgium
Poki Wong United States
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Citations per field
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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 1993186
2 2004108
3 199552
4 200451
5 199720
6 199720
7 200919
8 200111
9 19989
10 19919
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 Cell Biology, Molecular Biology, Immunology, Neurology and Nutrition and Dietetics, having authored 12 papers that have together received 499 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cellular transport and secretion (2 papers), Chemical Synthesis and Analysis (2 papers), Mast cells and histamine (1 paper), Plant Reproductive Biology (1 paper), Glycosylation and Glycoproteins Research (1 paper) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Neurology (118 citations), Nutrition and Dietetics (93 citations), Molecular Biology (348 citations), Cell Biology (66 citations) and Immunology (67 citations). Peter van Dijken has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Brian T. Chait, Rong Wang, David A. Harris, Mary T. Huber, Show-Ling Shyng, Peter J.M. Van Haastert, Sander H. Diks, Daan W. Hommes, Jos Joore and Klaartje Bel Kok. Their work appears in journals such as Journal of Biological Chemistry, Differentiation, Biochemistry, Biochemical Journal and FEBS Letters.

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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