Judith van Luijk

739 citations
18 papers · 582 · h-index 13

Impact in

Papers in

Judith van Luijk

18 papers receiving 575 citations

Peers

Judith van Luijk
Comparison fields: 5 of 109
  • Small Animals 118
  • Behavioral Neuroscience 35
  • Statistics, Probability and Uncertainty 39
  • Transplantation 8
  • Equine 5
Replace Alice Tillema with:
Alice Tillema Netherlands
Theodore C. Hirst United Kingdom
Giuseppe Marano Italy
Katherine M. Cooper United States
Huawei Zhang China
Leif Hunter United Kingdom
Stephen W. Ponder United States
M. Elena Martinez United States
D. Garrel Canada
Prateek Agarwal United States
Judith van Luijk relative to Alice Tillema Netherlands Alice Tillema's profile →
Citations per field
00.5×1.5×2.5×
Alice Tillema · 1×
Citations per year

Countries citing papers authored by Judith van Luijk

Since Specialization
Citations

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

Fields of papers citing papers by Judith van Luijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2015218
2 201466
3 201537
4 201534
5 201631
6 202030
7 201324
8 202022
9 201120
10 201918
11 201815
12 201815
13 201315
14 201910
15 20219
16 20188
17 20126
18 20194

About Judith van Luijk

Judith van Luijk is a scholar working on Small Animals, Public Health, Environmental and Occupational Health, Surgery, Molecular Biology and Social Psychology, having authored 18 papers that have together received 582 indexed citations. Recurring topics across this work include Animal testing and alternatives (8 papers), Health and Medical Research Impacts (2 papers), Neuroendocrine regulation and behavior (2 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers), Meta-analysis and systematic reviews (2 papers), Animal Behavior and Welfare Studies (2 papers), Veterinary Pharmacology and Anesthesia (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Small Animals (118 citations), Behavioral Neuroscience (35 citations), Statistics, Probability and Uncertainty (39 citations), Transplantation (8 citations) and Equine (5 citations). Judith van Luijk has collaborated with scholars based in Netherlands, United States and Indonesia. Frequent co-authors include Merel Ritskes‐Hoitinga, Marlies Leenaars, Rob B.M. de Vries, Carlijn R. Hooijmans, Miranda Langendam, Kimberley E. Wever, Maroeska M. Rovers, Jan J. Rongen, Gerjon Hannink and Tony G. van Tienen. Their work appears in journals such as ALTEX, PLoS ONE, Tissue Engineering Part B Reviews, Animals and Frontiers in Veterinary Science.

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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