Peter van Dijken

579 citations
12 papers · 484 · h-index 9

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 3
    • Chemical Synthesis and Analysis 2
    • Glycosylation and Glycoproteins Research 1
    • Muscle Physiology and Disorders 1
    • Cellular Mechanics and Interactions 5
    • Cellular transport and secretion 2

Peter van Dijken

12 papers receiving 476 citations

Peers

Peter van Dijken
Comparison fields: 5 of 65
  • Neurology 114
  • Nutrition and Dietetics 91
  • Molecular Biology 337
  • Cell Biology 65
  • Immunology 64
Replace Petra Parizek with:
Petra Parizek Switzerland
Salit Tzaban Israel
Nikolaj Zuleger United Kingdom
Karen J. Lomax United States
Noriyo Tokuda Japan
Tim Gilmartin United States
Valerie Grimminger Germany
Poki Wong United States
Charles V. Olson United States
Heidi Tveit Norway
Peter van Dijken relative to Petra Parizek Switzerland Petra Parizek's profile →
Citations per field
00.5×1.5×2.1×
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, Immunology, Organic Chemistry and Pathology and Forensic Medicine, 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), Cellular transport and secretion (2 papers), Chemical Synthesis and Analysis (2 papers), Click Chemistry and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper), Biocrusts and Microbial Ecology (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Neurology (114 citations), Nutrition and Dietetics (91 citations), Molecular Biology (337 citations), Cell Biology (65 citations) and Immunology (64 citations). Peter van Dijken has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Rong Wang, Brian T. Chait, Mary T. Huber, Show-Ling Shyng, David A. Harris, Peter J.M. Van Haastert, Maikel P. Peppelenbosch, Sander H. Diks, Jos Joore and Tom O’Toole. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Pharmacology, FEBS Letters, BMC Cell Biology and European Journal of Biochemistry.

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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