Daniëlle Seinstra

1.4k citations
12 papers · 777 · h-index 11

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques

Papers in

    • Cancer Cells and Metastasis 8
    • Epigenetics and DNA Methylation 2
    • CRISPR and Genetic Engineering 1

Daniëlle Seinstra

12 papers receiving 768 citations

Peers

Daniëlle Seinstra
Comparison fields: 5 of 71
  • Oncology 408
  • Biophysics 69
  • Cancer Research 149
  • Hepatology 63
  • Cell Biology 94
Replace Sirirat Takahashi with:
Sirirat Takahashi Japan
Carman Man-Chung Li United States
Zemin Zhang China
Birgitta E. Michels Germany
Phillip J. Iaquinta United States
Irene Miranda‐Lorenzo Spain
Coyin Oh United States
Cinzia Donato Switzerland
Hua Kang China
Ori Maller United States
Daniëlle Seinstra relative to Sirirat Takahashi Japan Sirirat Takahashi's profile →
Citations per field
00.5×7.7×
Sirirat Takahashi · 1×
Citations per year

Countries citing papers authored by Daniëlle Seinstra

Since Specialization
Citations

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

Fields of papers citing papers by Daniëlle Seinstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2016271
2 2019168
3 2012159
4 202032
5 202029
6 201928
7 201927
8 202423
9 202115
10 202213
11 202310
12 20182

About Daniëlle Seinstra

Daniëlle Seinstra is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Genetics, having authored 12 papers that have together received 777 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Cancer Genomics and Diagnostics (3 papers), Epigenetics and DNA Methylation (2 papers), Brain Metastases and Treatment (2 papers), Cancer Research and Treatments (2 papers), Glioma Diagnosis and Treatment (2 papers), CRISPR and Genetic Engineering (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Oncology (408 citations), Biophysics (69 citations), Cancer Research (149 citations), Hepatology (63 citations) and Cell Biology (94 citations). Daniëlle Seinstra has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Jacco van Rheenen, Evelyne Beerling, Nienke Vrisekoop, Ronny Schäfer, Lennart Kester, Daphne van der Velden, Carrie Maynard, Emile E. Voest, Paul van Diest and Elzo de Wit. Their work appears in journals such as Nature Communications, Cell Reports, Cancers, ESMO Open and Cell stem cell.

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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