Katja van den Hurk

2.4k citations
90 papers · 1.4k indexed · h-index 21

Katja van den Hurk

84 papers receiving 1.4k citations

Peers

Katja van den Hurk
Comparison fields: 5 of 125
  • Management of Technology and Innovation 422
  • Hematology 282
  • Genetics 226
  • Cardiology and Cardiovascular Medicine 361
  • Biochemistry 84
Replace Dianne O’Connell with:
Dianne O’Connell Australia
Rasheda Rabbani Canada
Jeffrey S. Young United States
Gil Harari Israel
Thomas Vogel France
Jon D. Simmons United States
Zhiyuan Sun China
Georgina Imberger Australia
Jason Kendall United Kingdom
Peter Rosseel Netherlands
Katja van den Hurk relative to Dianne O’Connell Australia Dianne O’Connell's profile →
Citations per field
00.5×10.3×
Dianne O’Connell · 1×
Citations per year

Countries citing papers authored by Katja van den Hurk

Since Specialization
Citations

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

Fields of papers citing papers by Katja van den Hurk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katja van den Hurk. 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 Katja van den Hurk. The network helps show where Katja van den Hurk may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20241
4 20242
5 20241
6 20233
7 20235
8 20223
9 20222
10 20226
11 20218
12 202116
13 201929
14 20191
15 201911
16 20183
17 201825
18 201717
19 201023
20
Prevalentie van overgewicht en obesitas bij jeugdigen 4-15 jaar in de periode 2002-2004
200622

About Katja van den Hurk

Katja van den Hurk is a scholar working on Management of Technology and Innovation, Hematology and Genetics, having authored 90 papers that have together received 1.4k indexed citations. Recurring topics across this work include Blood donation and transfusion practices (55 papers), Iron Metabolism and Disorders (32 papers), Hemoglobinopathies and Related Disorders (29 papers), Organ Donation and Transplantation (16 papers), Blood transfusion and management (13 papers), Obesity, Physical Activity, Diet (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Management of Technology and Innovation (422 citations), Hematology (282 citations) and Genetics (226 citations). Katja van den Hurk has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Joost Dekker, Giel Nijpels, Coen D.A. Stehouwer, Wim de Kort, Ronald M.A. Henry, Femmeke J. Prinsze, Thomas T. van Sloten, Miranda T. Schram, Eva‐Maria Merz and Marjan Alssema. Their work appears in journals such as Transfusion, Vox Sanguinis, Transfusion Medicine Reviews, PLoS ONE and British Journal of Haematology.

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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