Anne‐Fleur van Rootselaar

5.0k citations
95 papers · 2.1k indexed · h-index 29
Topics
Neurological disorders and treatments (66 papers)Glycogen Storage Diseases and Myoclonus (28 papers)Genetic Neurodegenerative Diseases (20 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENeuroImage

In The Last Decade

Anne‐Fleur van Rootselaar

89 papers receiving 2.1k citations

Peers

Anne‐Fleur van Rootselaar
Comparison fields: 5 of 97
  • Neurology 1.4k
  • Cellular and Molecular Neuroscience 555
  • Rheumatology 501
  • Cognitive Neuroscience 437
  • Emergency Medicine 333
Replace Johannes H.T.M. Koelman with:
Johannes H.T.M. Koelman Netherlands
Elisa Visani Italy
Stephen Tisch Australia
Peggy S. Gott United States
Carmen Barba Italy
Giovanna Calandra–Buonaura Italy
S. Passero Italy
Carol V. Anderson United States
Hans L. Carlson United States
Louise Tyvaert France
Anne‐Fleur van Rootselaar relative to Johannes H.T.M. Koelman Netherlands Johannes H.T.M. Koelman's profile →
Citations per field
00.5×1.5×2.1×
Johannes H.T.M. Koelman · 1×
Citations per year

Countries citing papers authored by Anne‐Fleur van Rootselaar

Since Specialization
Citations

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

Fields of papers citing papers by Anne‐Fleur van Rootselaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne‐Fleur van Rootselaar. 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 Anne‐Fleur van Rootselaar. The network helps show where Anne‐Fleur van Rootselaar may publish in the future.

Co-authorship network of co-authors of Anne‐Fleur van Rootselaar

This figure shows the co-authorship network connecting the top 25 collaborators of Anne‐Fleur van Rootselaar. A scholar is included among the top collaborators of Anne‐Fleur van Rootselaar 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 Anne‐Fleur van Rootselaar. Anne‐Fleur van Rootselaar 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 3
4 4
5 1
6 14
7 2
8 0
9 2
10 16
11 6
12 1
13 1
14 17
15 11
16 20
17 8
18 5
19 36
20 38

About Anne‐Fleur van Rootselaar

Anne‐Fleur van Rootselaar is a scholar working on Neurology, Rheumatology and Cellular and Molecular Neuroscience, having authored 95 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neurological disorders and treatments (66 papers), Glycogen Storage Diseases and Myoclonus (28 papers) and Genetic Neurodegenerative Diseases (20 papers). The work is most often cited by research in Neurology (1.4k citations), Emergency Medicine (333 citations) and Rheumatology (501 citations). Anne‐Fleur van Rootselaar has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Marina A.J. Tijssen, Johannes H.T.M. Koelman, Sandra Salm, Sarvi Sharifi, Arthur W.G. Buijink, Janneke Horn, Natasha M. Maurits, Lo J. Bour, Johannes D. Speelman and Aart J. Nederveen. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

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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