Wietske van der Ent

1.1k citations
24 papers · 901 · h-index 15

Impact in

Papers in

    • Zebrafish Biomedical Research Applications 12
    • Cellular Mechanics and Interactions 2
    • Cancer Genomics and Diagnostics 2

Wietske van der Ent

24 papers receiving 886 citations

Peers

Wietske van der Ent
Comparison fields: 5 of 87
  • Cell Biology 371
  • Cancer Research 137
  • Molecular Biology 436
  • Ophthalmology 51
  • Cellular and Molecular Neuroscience 107
Replace Mei-Yao Lin with:
Mei-Yao Lin United States
Huyan Meng China
Kiyotoshi Satoh Japan
Stephen J. Tam United States
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Citations per field
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Citations per year

Countries citing papers authored by Wietske van der Ent

Since Specialization
Citations

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

Fields of papers citing papers by Wietske van der Ent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wietske van der Ent. 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 Wietske van der Ent. The network helps show where Wietske van der Ent may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017161
2 201387
3 202079
4 201275
5 201473
6 201462
7 202058
8 201442
9 202039
10 201639
11 201938
12 201633
13 201526
14 201620
15 202216
16 202310
17 20228
18 20167
19 20187
20 20236

About Wietske van der Ent

Wietske van der Ent is a scholar working on Cell Biology, Cancer Research, Cellular and Molecular Neuroscience, Molecular Biology and Ophthalmology, having authored 24 papers that have together received 901 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (12 papers), Neuroscience and Neuropharmacology Research (5 papers), Sarcoma Diagnosis and Treatment (4 papers), Pluripotent Stem Cells Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Protein Degradation and Inhibitors (2 papers), Cellular Mechanics and Interactions (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Cell Biology (371 citations), Cancer Research (137 citations), Molecular Biology (436 citations), Ophthalmology (51 citations) and Cellular and Molecular Neuroscience (107 citations). Wietske van der Ent has collaborated with scholars based in Netherlands, Norway and United States. Frequent co-authors include Ewa B. Snaar-Jagalska, Herman P. Spaink, Camila Vicencio Esguerra, Kinga Gaweł, Aart G. Jochemsen, Shuning He, Olivier Delattre, Karine Laud-Duval, Amina F.A.S. Teunisse and Ettore Tiraboschi. Their work appears in journals such as Advances in experimental medicine and biology, Investigative Ophthalmology & Visual Science, Cancer Research, Acta Neuropathologica and Epilepsia.

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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