Thamar van Dijk

421 citations
7 papers · 340 · h-index 5

Impact in

    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

Papers in

Thamar van Dijk

6 papers receiving 337 citations

Peers

Thamar van Dijk
Comparison fields: 5 of 57
  • Hematology 47
  • Genetics 40
  • Immunology 76
  • Reproductive Medicine 29
  • Oncology 79
Replace Leonhard Muellauer with:
Leonhard Muellauer Austria
Bradley Long United States
Kristóf Dede Hungary
Joshua T. Eggold United States
Naoto Nakamichi Japan
Stéphanie Struski France
Rika Okamoto Japan
Qinglong Hu United States
Anna Turletti Italy
R Bellino Italy
Thamar van Dijk relative to Leonhard Muellauer Austria Leonhard Muellauer's profile →
Citations per field
00.5×3.2×
Leonhard Muellauer · 1×
Citations per year

Countries citing papers authored by Thamar van Dijk

Since Specialization
Citations

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

Fields of papers citing papers by Thamar van Dijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thamar van Dijk. 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 Thamar van Dijk. The network helps show where Thamar van Dijk may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Stem cell factor receptor (c-KIT) codon 816 mutations predict development of bilateral testicular germ-cell tumors.
2003131
2 199567
3 200058
4 202046
5 200435
6 20123
7 20240

About Thamar van Dijk

Thamar van Dijk is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics, Oncology and Hematology, having authored 7 papers that have together received 340 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Kruppel-like factors research (1 paper), Urticaria and Related Conditions (1 paper), Signaling Pathways in Disease (1 paper) and Testicular diseases and treatments (1 paper). The work is most often cited by research in Hematology (47 citations), Genetics (40 citations), Immunology (76 citations), Reproductive Medicine (29 citations) and Oncology (79 citations). Thamar van Dijk has collaborated with scholars based in Netherlands, Germany and Austria. Frequent co-authors include Marieke von Lindern, Jan A. M. Raaijmakers, Jan‐Willem J. Lammers, Leo Koenderman, Emile van den Akker, Eric Caldenhoven, Rolf P. de Groot, Martine Parren-van Amelsvoort, Bob Löwenberg and Jahn M. Nesland. Their work appears in journals such as Journal of Biological Chemistry, Blood, Biomaterials, HemaSphere and PubMed.

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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