Wietske van der Ent

1.1k citations
21 papers · 761 · h-index 13

Impact in

Papers in

    • Zebrafish Biomedical Research Applications 13
    • Cellular Mechanics and Interactions 2
    • Pluripotent Stem Cells Research 3
    • Protein Degradation and Inhibitors 2

Wietske van der Ent

21 papers receiving 752 citations

Peers

Wietske van der Ent
Comparison fields: 5 of 88
  • Cell Biology 347
  • Cancer Research 124
  • Cellular and Molecular Neuroscience 114
  • Molecular Biology 398
  • Biophysics 29
Replace Ruilin Tian with:
Ruilin Tian China
Mei-Yao Lin United States
Cynthia Gallant United States
Hanneke Okkenhaug United Kingdom
Zen Kouchi Japan
Jung Hwan Kim United States
Takashi Shiromizu Japan
Miranda van Triest Netherlands
Qing Ouyang China
Jinshan Wang United States
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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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017133
2 201381
3 202074
4 201268
5 201468
6 201457
7 202052
8 201439
9 201936
10 202034
11 201630
12 201523
13 201620
14 202212
15 20238
16 20187
17 20236
18 20166
19 20244
20 20242

About Wietske van der Ent

Wietske van der Ent is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 21 papers that have together received 761 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (13 papers), Neuroscience and Neuropharmacology Research (6 papers), Sarcoma Diagnosis and Treatment (3 papers), Pluripotent Stem Cells Research (3 papers), Protein Degradation and Inhibitors (2 papers), Neonatal and fetal brain pathology (2 papers), 3D Printing in Biomedical Research (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Cell Biology (347 citations), Cancer Research (124 citations), Cellular and Molecular Neuroscience (114 citations), Molecular Biology (398 citations) and Biophysics (29 citations). Wietske van der Ent has collaborated with scholars based in Netherlands, Norway and Poland. Frequent co-authors include B. Ewa Snaar‐Jagalska, Herman P. Spaink, Camila V. Esguerra, Kinga Gaweł, Aart G. Jochemsen, Shuning He, Amina F.A.S. Teunisse, Ettore Tiraboschi, Karine Laud-Duval and Martine J. Jager. Their work appears in journals such as Advances in experimental medicine and biology, ACS Chemical Neuroscience, Neuroscience & Biobehavioral Reviews, International Journal of Molecular Sciences and The Journal of Pathology.

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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