Erik Voets

586 citations
8 papers · 481 · h-index 7

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics

Papers in

    • Ubiquitin and proteasome pathways 2
    • Signaling Pathways in Disease 1
    • FOXO transcription factor regulation 1
    • Microtubule and mitosis dynamics 4

Erik Voets

8 papers receiving 473 citations

Peers

Erik Voets
Comparison fields: 5 of 63
  • Aging 36
  • Cell Biology 120
  • Molecular Biology 349
  • Immunology 100
  • Geriatrics and Gerontology 13
Replace Takahiro Aoto with:
Takahiro Aoto Japan
Sharif Iqbal Finland
Georgia Chatzinikolaou Greece
Timothy R. Stowe United States
Valentina Rapisarda United Kingdom
Karin Soller Germany
Marie-Pierre Leibovitch France
Nathan C. Jones United States
Jessica Gosio Canada
Alan G. Ridgeway Canada
Erik Voets relative to Takahiro Aoto Japan Takahiro Aoto's profile →
Citations per field
00.5×4.3×
Takahiro Aoto · 1×
Citations per year

Countries citing papers authored by Erik Voets

Since Specialization
Citations

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

Fields of papers citing papers by Erik Voets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik Voets. 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 Erik Voets. The network helps show where Erik Voets may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2008233
2 2010112
3 201956
4 202134
5 201520
6 201417
7 20158
8 20191

About Erik Voets

Erik Voets is a scholar working on Molecular Biology, Cell Biology, Immunology, Physiology and Plant Science, having authored 8 papers that have together received 481 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (4 papers), Phagocytosis and Immune Regulation (3 papers), Chromosomal and Genetic Variations (2 papers), Ubiquitin and proteasome pathways (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Pancreatic function and diabetes (1 paper), Signaling Pathways in Disease (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Aging (36 citations), Cell Biology (120 citations), Molecular Biology (349 citations), Immunology (100 citations) and Geriatrics and Gerontology (13 citations). Erik Voets has collaborated with scholars based in Netherlands, United States and Russia. Frequent co-authors include Rob M.F. Wolthuis, Lydia M.M. Smits, Paulien E. Polderman, Boudewijn Burgering, Marieke Essers, Andrew R. Harris, Brian J. Francica, Eva M. Schmid, Daniel A. Fletcher and Emily Suter. Their work appears in journals such as Cell Cycle, Cancer Research, Scientific Reports, Journal for ImmunoTherapy of Cancer and Journal of Biological Chemistry.

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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