Daniëlle te Vruchte

1.4k citations
18 papers · 946 · h-index 12

Impact in

  • Physiology top 2%
    • Lysosomal Storage Disorders Research
    • Calcium signaling and nucleotide metabolism
  • Cell Biology top 10%
    • Cellular transport and secretion

Papers in

Daniëlle te Vruchte

17 papers receiving 931 citations

Peers

Daniëlle te Vruchte
Comparison fields: 5 of 68
  • Physiology 123
  • Physiology 499
  • Cell Biology 151
  • Cancer Research 94
  • Molecular Biology 437
Replace Maria Francisca Coutinho with:
Maria Francisca Coutinho Portugal
Kyle Peake Canada
Andreas Polten Germany
Gustavo Maegawa United States
Takanobu Otomo Japan
Lúcia Lacerda Portugal
Vivienne Muller Australia
Stephan Storch Germany
Ulla Lahtinen Finland
Susanna Lualdi Italy
Daniëlle te Vruchte relative to Maria Francisca Coutinho Portugal Maria Francisca Coutinho's profile →
Citations per field
00.5×3.2×
Maria Francisca Coutinho · 1×
Citations per year

Countries citing papers authored by Daniëlle te Vruchte

Since Specialization
Citations

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

Fields of papers citing papers by Daniëlle te Vruchte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniëlle te Vruchte. 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 Daniëlle te Vruchte. The network helps show where Daniëlle te Vruchte may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2000218
2 2004163
3 2004121
4 201597
5 201795
6 201670
7 200442
8 201837
9 202127
10 201719
11 202214
12 201413
13 20109
14 20249
15 20155
16 20154
17 20033
18 20250

About Daniëlle te Vruchte

Daniëlle te Vruchte is a scholar working on Physiology, Pediatrics, Perinatology and Child Health, Molecular Biology, Physiology and Cell Biology, having authored 18 papers that have together received 946 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (14 papers), Calcium signaling and nucleotide metabolism (3 papers), Cellular transport and secretion (3 papers), Neonatal and fetal brain pathology (3 papers), Trypanosoma species research and implications (2 papers), Neonatal Health and Biochemistry (2 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Physiology (123 citations), Physiology (499 citations), Cell Biology (151 citations), Cancer Research (94 citations) and Molecular Biology (437 citations). Daniëlle te Vruchte has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Frances M. Platt, Daniel J. Sillence, Raymond A. Dwek, Emyr Lloyd‐Evans, Christopher J. Davies, Lisa Hahner, Anton Wutz, Jeoffrey Schageman, Robert Lyle and Daisuke Watanabe. Their work appears in journals such as Orphanet Journal of Rare Diseases, Journal of Biological Chemistry, Scientific Reports, Neurobiology of Disease and Brain Communications.

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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