Bart J. van Vlijmen

11 total papers · 621 total citations
9 papers, 526 citations indexed

About

Bart J. van Vlijmen is a scholar working on Hematology, Surgery and Immunology. According to data from OpenAlex, Bart J. van Vlijmen has authored 9 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Surgery and 3 papers in Immunology. Recurrent topics in Bart J. van Vlijmen's work include Platelet Disorders and Treatments (4 papers), Lipoproteins and Cardiovascular Health (3 papers) and Cancer, Lipids, and Metabolism (3 papers). Bart J. van Vlijmen is often cited by papers focused on Platelet Disorders and Treatments (4 papers), Lipoproteins and Cardiovascular Health (3 papers) and Cancer, Lipids, and Metabolism (3 papers). Bart J. van Vlijmen collaborates with scholars based in Netherlands, United States and Canada. Bart J. van Vlijmen's co-authors include Louis M. Havekes, Rune R. Frants, Hans van der Boom, Marten H. Hofker, Harm HogenEsch, Arn M. J. M. van den Maagdenberg, Marion J. Gijbels, M.J.T.M. Mol, Anke H. Maitland‐van der Zee and Cécile V. Denis and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Journal of Thrombosis and Haemostasis.

In The Last Decade

Bart J. van Vlijmen

9 papers receiving 516 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bart J. van Vlijmen 162 155 146 134 80 9 526
M. Berrozpe 200 1.2× 87 0.6× 114 0.8× 138 1.0× 149 1.9× 12 459
Noemi Michetti 72 0.4× 137 0.9× 184 1.3× 72 0.5× 123 1.5× 11 611
Heidrun Muth 122 0.8× 91 0.6× 95 0.7× 141 1.1× 58 0.7× 10 448
Esther Lutgens 85 0.5× 221 1.4× 68 0.5× 192 1.4× 94 1.2× 13 617
GA Jamieson 87 0.5× 166 1.1× 305 2.1× 94 0.7× 97 1.2× 9 569
Theo JC Van Berkel 183 1.1× 229 1.5× 54 0.4× 129 1.0× 36 0.5× 10 582
Laurent Kassalow 250 1.5× 124 0.8× 71 0.5× 54 0.4× 60 0.8× 10 448
Jamie Robertson 67 0.4× 129 0.8× 76 0.5× 154 1.1× 47 0.6× 9 562
Yuji Hitomi 105 0.6× 164 1.1× 80 0.5× 117 0.9× 60 0.8× 15 550
Marie-Claude Laplace 70 0.4× 156 1.0× 168 1.2× 69 0.5× 182 2.3× 16 565

Countries citing papers authored by Bart J. van Vlijmen

Since Specialization
Citations

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

Fields of papers citing papers by Bart J. van Vlijmen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bart J. van Vlijmen. 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 Bart J. van Vlijmen. The network helps show where Bart J. van Vlijmen may publish in the future.

Co-authorship network of co-authors of Bart J. van Vlijmen

This figure shows the co-authorship network connecting the top 25 collaborators of Bart J. van Vlijmen. A scholar is included among the top collaborators of Bart J. van Vlijmen 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 Bart J. van Vlijmen. Bart J. van Vlijmen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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