Kim van Loon

36 total papers · 1.6k total citations
20 papers, 507 citations indexed

About

Kim van Loon is a scholar working on Epidemiology, Surgery and Biomedical Engineering. According to data from OpenAlex, Kim van Loon has authored 20 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Surgery and 7 papers in Biomedical Engineering. Recurrent topics in Kim van Loon's work include Hemodynamic Monitoring and Therapy (5 papers), Healthcare Technology and Patient Monitoring (5 papers) and Congenital Heart Disease Studies (5 papers). Kim van Loon is often cited by papers focused on Hemodynamic Monitoring and Therapy (5 papers), Healthcare Technology and Patient Monitoring (5 papers) and Congenital Heart Disease Studies (5 papers). Kim van Loon collaborates with scholars based in Netherlands, United States and Germany. Kim van Loon's co-authors include Cor J. Kalkman, Martine J. M. Breteler, Bas van Zaane, Daan Dohmen, Luke P. H. Leenen, Taco J. Blokhuis, Linda M. Peelen, Leo van Wolfswinkel, Wilton A. van Klei and Richard van Hillegersberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Epidemiology.

In The Last Decade

Kim van Loon

20 papers receiving 497 citations

Author Peers

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

Author Last Decade Papers Cites
Kim van Loon 265 238 153 91 47 20 507
Yadin David 168 0.6× 240 1.0× 129 0.8× 72 0.8× 22 0.5× 36 466
Axel Schmutz 273 1.0× 195 0.8× 110 0.7× 130 1.4× 128 2.7× 31 554
Sara Jane Allen 103 0.4× 138 0.6× 79 0.5× 82 0.9× 87 1.9× 18 506
Fabio Sangalli 264 1.0× 268 1.1× 203 1.3× 119 1.3× 216 4.6× 37 523
Barbara McLean 104 0.4× 205 0.9× 70 0.5× 80 0.9× 49 1.0× 16 557
Kai Kück 141 0.5× 274 1.2× 231 1.5× 77 0.8× 37 0.8× 49 527
John C. McMichan 106 0.4× 304 1.3× 111 0.7× 159 1.7× 79 1.7× 23 599
Edmundo Pereira de Souza Neto 120 0.5× 242 1.0× 212 1.4× 50 0.5× 31 0.7× 25 449
H Baden 115 0.4× 211 0.9× 182 1.2× 230 2.5× 80 1.7× 31 555
Justin Yeung 69 0.3× 309 1.3× 110 0.7× 35 0.4× 34 0.7× 21 479

Countries citing papers authored by Kim van Loon

Since Specialization
Citations

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

Fields of papers citing papers by Kim van Loon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim van Loon. 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 Kim van Loon. The network helps show where Kim van Loon may publish in the future.

Co-authorship network of co-authors of Kim van Loon

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