Katinka van de Ven

1.1k citations
38 papers · 695 indexed · h-index 17
Topics
Doping in Sports (14 papers)Hormonal and reproductive studies (13 papers)Sexuality, Behavior, and Technology (7 papers)

In The Last Decade

Katinka van de Ven

37 papers receiving 679 citations

Peers

Katinka van de Ven
Comparison fields: 5 of 95
  • Sociology and Political Science 295
  • Endocrinology, Diabetes and Metabolism 245
  • Clinical Psychology 205
  • Epidemiology 159
  • Public Health, Environmental and Occupational Health 120
Replace Timothy Piatkowski with:
Timothy Piatkowski Australia
Andreas Kimergård United Kingdom
Amanda Atkinson United Kingdom
Cheneal Puljević Australia
Mair Underwood Australia
Elizabeth M. Webb South Africa
Patrick Laure France
Samantha Goodman Canada
Florence Kerr-Corrêa Brazil
Nicholas S. Patapis United States
Katinka van de Ven relative to Timothy Piatkowski Australia Timothy Piatkowski's profile →
Citations per field
00.5×3.1×
Timothy Piatkowski · 1×
Citations per year

Countries citing papers authored by Katinka van de Ven

Since Specialization
Citations

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

Fields of papers citing papers by Katinka van de Ven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katinka van de Ven. 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 Katinka van de Ven. The network helps show where Katinka van de Ven may publish in the future.

Co-authorship network of co-authors of Katinka van de Ven

This figure shows the co-authorship network connecting the top 25 collaborators of Katinka van de Ven. A scholar is included among the top collaborators of Katinka van de Ven based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katinka van de Ven. Katinka van de Ven is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 6
4 9
5 16
6 2
7 14
8 22
9 3
10 27
11 2
12 31
13 24
14 19
15 75
16 16
17 22
18 34
19 39
20 58

About Katinka van de Ven

Katinka van de Ven is a scholar working on Toxicology, Endocrinology, Diabetes and Metabolism and Clinical Psychology, having authored 38 papers that have together received 695 indexed citations. Recurring topics across this work include Doping in Sports (14 papers), Hormonal and reproductive studies (13 papers) and Sexuality, Behavior, and Technology (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (245 citations), Applied Psychology (56 citations) and Clinical Psychology (205 citations). Katinka van de Ven has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include Kyle Mulrooney, Matthew Dunn, Mair Underwood, Jim McVeigh, Natalie Thomas, Alison Ritter, Cynthia Forlini, Ian D. Boardley, Ann Roche and Vendula Běláčková. Their work appears in journals such as PLoS ONE, Addiction and Frontiers in Psychiatry.

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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