Daan van de Kerkhof

67 total papers · 1.1k total citations
54 papers, 795 citations indexed

About

Daan van de Kerkhof is a scholar working on Cardiology and Cardiovascular Medicine, Hematology and Physiology. According to data from OpenAlex, Daan van de Kerkhof has authored 54 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 15 papers in Hematology and 9 papers in Physiology. Recurrent topics in Daan van de Kerkhof's work include Atrial Fibrillation Management and Outcomes (14 papers), Blood groups and transfusion (10 papers) and Hemoglobinopathies and Related Disorders (7 papers). Daan van de Kerkhof is often cited by papers focused on Atrial Fibrillation Management and Outcomes (14 papers), Blood groups and transfusion (10 papers) and Hemoglobinopathies and Related Disorders (7 papers). Daan van de Kerkhof collaborates with scholars based in Netherlands, Denmark and Belgium. Daan van de Kerkhof's co-authors include Volkher Scharnhorst, Luc Brunsveld, Joost L. J. van Dongen, Mark W.M. Schellings, Francisca Hudig, Jaap Jan Zwaginga, Fedde van der Graaf, Karen M. K. de Vooght, Rutger A. Middelburg and Nathalie C. V. Péquériaux and has published in prestigious journals such as JAMA, Blood and Analytical Chemistry.

In The Last Decade

Daan van de Kerkhof

49 papers receiving 783 citations

Author Peers

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

Author						Papers	Cites
Daan van de Kerkhof	248	223	153	137	102	54	795
Argyri Gialeraki	245 1.0×	241 1.1×	38 0.2×	107 0.8×	63 0.6×	40	784
Anton P. van Zanten	81 0.3×	176 0.8×	58 0.4×	73 0.5×	169 1.7×	43	892
Edward W. Bermes	102 0.4×	200 0.9×	71 0.5×	108 0.8×	45 0.4×	55	798
Mark T. Cunningham	233 0.9×	275 1.2×	90 0.6×	275 2.0×	38 0.4×	43	731
Herbert I. Horowitz	118 0.5×	480 2.2×	81 0.5×	49 0.4×	193 1.9×	32	1.0k
Mirella Saliola	246 1.0×	163 0.7×	84 0.5×	107 0.8×	29 0.3×	36	959
Dale H. Cowan	147 0.6×	268 1.2×	54 0.4×	33 0.2×	181 1.8×	44	905
H. G. Lasch	99 0.4×	197 0.9×	47 0.3×	56 0.4×	54 0.5×	67	701
David M. Baron	173 0.7×	161 0.7×	186 1.2×	35 0.3×	53 0.5×	41	1.0k
Saravanan Subramaniam	67 0.3×	229 1.0×	88 0.6×	86 0.6×	62 0.6×	30	777

Countries citing papers authored by Daan van de Kerkhof

Since Specialization

Citations

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

Fields of papers citing papers by Daan van de Kerkhof

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daan van de Kerkhof. 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 Daan van de Kerkhof. The network helps show where Daan van de Kerkhof may publish in the future.

Co-authorship network of co-authors of Daan van de Kerkhof

This figure shows the co-authorship network connecting the top 25 collaborators of Daan van de Kerkhof. A scholar is included among the top collaborators of Daan van de Kerkhof 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 Daan van de Kerkhof. Daan van de Kerkhof 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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