Rinse Klooster

3.3k citations
25 papers · 1.8k indexed · 1 hit paper · h-index 16
Topics
Myasthenia Gravis and Thymoma (8 papers)Glycosylation and Glycoproteins Research (7 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)

In The Last Decade

Rinse Klooster

25 papers receiving 1.7k citations

Hit Papers

A Unifying Genetic Model for Facioscapulohumeral Muscular...20102026201520202010100200300400500

Peers

Rinse Klooster
Comparison fields: 5 of 74
  • Molecular Biology 860
  • Neurology 811
  • Infectious Diseases 217
  • Genetics 191
  • Cellular and Molecular Neuroscience 187
Replace Kirsten R. Straasheijm with:
Kirsten R. Straasheijm Netherlands
Judy Cossins United Kingdom
Xavier Suárez‐Calvet Spain
Christopher Dunham Canada
Yue‐Bei Luo China
Matthew R. Ritter United States
Sophie Laberge France
Mark Keegan United States
Rifaat Bashir United States
Franz Ricklefs Germany
Rinse Klooster relative to Kirsten R. Straasheijm Netherlands Kirsten R. Straasheijm's profile →
Citations per field
00.5×1.5×
Kirsten R. Straasheijm · 1×
Citations per year

Countries citing papers authored by Rinse Klooster

Since Specialization
Citations

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

Fields of papers citing papers by Rinse Klooster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rinse Klooster

This figure shows the co-authorship network connecting the top 25 collaborators of Rinse Klooster. A scholar is included among the top collaborators of Rinse Klooster 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 Rinse Klooster. Rinse Klooster 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 5
3 20
4 51
5 8
6 12
7 210
8 9
9 161
10 4
11 233
12 117
13 22
14 32
15 23
16
A Unifying Genetic Model for Facioscapulohumeral Muscular Dystrophybreakdown →
528
17 51
18 23
19 48
20 27

About Rinse Klooster

Rinse Klooster is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (8 papers), Glycosylation and Glycoproteins Research (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Neurology (811 citations), Genetics (191 citations) and Molecular Biology (860 citations). Rinse Klooster has collaborated with scholars based in Netherlands, United States and Spain. Frequent co-authors include Silvère M. van der Maarel, Kirsten R. Straasheijm, Jan J.G.M. Verschuuren, Rune R. Frants, Rabi Tawil, Richard J.L.F. Lemmers, Sabrina Sacconi, Patrick J. van der Vliet, Lauren Snider and Pilar Camaño. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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