Marlies Leenaars

7.0k citations
33 papers · 4.9k indexed · 1 hit paper · h-index 21
Topics
Animal testing and alternatives (13 papers)Meta-analysis and systematic reviews (8 papers)Health and Medical Research Impacts (6 papers)

In The Last Decade

Marlies Leenaars

33 papers receiving 4.8k citations

Hit Papers

SYRCLE’s risk of bias tool for animal studies2014202620182022201450010001.5k2.0k2.5k

Peers

Marlies Leenaars
Comparison fields: 5 of 169
  • Molecular Biology 950
  • Small Animals 673
  • Surgery 619
  • Physiology 470
  • Public Health, Environmental and Occupational Health 404
Replace Merel Ritskes‐Hoitinga with:
Merel Ritskes‐Hoitinga Netherlands
Carlijn R. Hooijmans Netherlands
Jeffrey L. Ebersole United States
André Bleich Germany
Carlos Roberto Padovani Brazil
P Franchimont Belgium
Raymond C. Boston United States
Asta Tvarijonaviciute Spain
Francesco Chiappelli United States
Daniel Berg United States
Marlies Leenaars relative to Merel Ritskes‐Hoitinga Netherlands Merel Ritskes‐Hoitinga's profile →
Citations per field
00.5×1.5×
Merel Ritskes‐Hoitinga · 1×
Citations per year

Countries citing papers authored by Marlies Leenaars

Since Specialization
Citations

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

Fields of papers citing papers by Marlies Leenaars

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marlies Leenaars

This figure shows the co-authorship network connecting the top 25 collaborators of Marlies Leenaars. A scholar is included among the top collaborators of Marlies Leenaars 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 Marlies Leenaars. Marlies Leenaars 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 1
2 42
3 3
4
SYRCLE’s risk of bias tool for animal studiesbreakdown →
2844
5 64
6 121
7 15
8 88
9 29
10 10
11 158
12 48
13 68
14 38
15 3
16 32
17 17
18 45
19 5
20 104

About Marlies Leenaars

Marlies Leenaars is a scholar working on Small Animals, Statistics, Probability and Uncertainty and Equine, having authored 33 papers that have together received 4.9k indexed citations. Recurring topics across this work include Animal testing and alternatives (13 papers), Meta-analysis and systematic reviews (8 papers) and Health and Medical Research Impacts (6 papers). The work is most often cited by research in Small Animals (673 citations), Behavioral Neuroscience (147 citations) and Statistics, Probability and Uncertainty (272 citations). Marlies Leenaars has collaborated with scholars based in Netherlands, United States and New Zealand. Frequent co-authors include Merel Ritskes‐Hoitinga, Carlijn R. Hooijmans, Miranda Langendam, Maroeska M. Rovers, Coenraad Hendriksen, Alice Tillema, Rob B.M. de Vries, Paul J. Moughan, Kimberley E. Wever and Judith van Luijk. Their work appears in journals such as PLoS ONE, BMJ and Vaccine.

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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