Kim van de Kant

735 total citations
8 papers, 65 citations indexed

About

Kim van de Kant is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Biomedical Engineering. According to data from OpenAlex, Kim van de Kant has authored 8 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Physiology and 2 papers in Biomedical Engineering. Recurrent topics in Kim van de Kant's work include Asthma and respiratory diseases (4 papers), Cystic Fibrosis Research Advances (2 papers) and Neonatal Respiratory Health Research (2 papers). Kim van de Kant is often cited by papers focused on Asthma and respiratory diseases (4 papers), Cystic Fibrosis Research Advances (2 papers) and Neonatal Respiratory Health Research (2 papers). Kim van de Kant collaborates with scholars based in Netherlands, Germany and United States. Kim van de Kant's co-authors include Quirijn Jöbsis, Edward Dompeling, Björn Winkens, Geertjan Wesseling, Dillys van Vliet, Vincent Gulmans, Michiel Bannier, Ilja de Vreede, Han Hendriks and Brigitte A.B. Essers and has published in prestigious journals such as Scientific Reports, European Respiratory Journal and BMC Medical Education.

In The Last Decade

Kim van de Kant

8 papers receiving 62 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kim van de Kant Netherlands	5	51	20	13	12	6	8	65
Patricia van Velzen Netherlands	4	50 1.0×	22 1.1×	28 2.2×	4 0.3×	3 0.5×	6	73
Anna-Carin Olin Sweden	5	62 1.2×	50 2.5×	18 1.4×	5 0.4×	1 0.2×	6	103
Ann Schneidman Spain	3	56 1.1×	8 0.4×	3 0.2×	4 0.3×	2 0.3×	4	57
Luis Wehbe Switzerland	4	146 2.9×	124 6.2×	4 0.3×	4 0.3×	3 0.5×	7	164
A. Miano Italy	4	74 1.5×	12 0.6×	2 0.2×	4 0.3×	3 0.5×	7	90
Elena García Castillo Spain	6	58 1.1×	14 0.7×	2 0.2×	7 0.6×		24	70
Angelo Calabrese Italy	3	22 0.4×	7 0.3×	5 0.4×	3 0.3×		6	32
Cristina Avram United Kingdom	3	50 1.0×	26 1.3×	1 0.1×	7 0.6×	1 0.2×	7	65
Laure Bosquillon de Jarcy Germany	2	29 0.6×	3 0.1×	8 0.6×	3 0.3×		2	50
Mirko Seidel Germany	4	7 0.1×	16 0.8×	9 0.7×	3 0.3×		8	39

Countries citing papers authored by Kim van de Kant

Since Specialization

Citations

This map shows the geographic impact of Kim van de Kant'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 de Kant 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 de Kant more than expected).

Fields of papers citing papers by Kim van de Kant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim van de Kant

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

All Works

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8 of 8 papers shown

1.

Kant, Kim van de, et al.. (2024). The importance of creating the right conditions for group intervision sessions among medical residents– a qualitative study. BMC Medical Education. 24(1). 375–375. 2 indexed citations

2.

Kant, Kim van de, Björn Winkens, Geertjan Wesseling, et al.. (2018). Risk factors for lung disease progression in children with cystic fibrosis. European Respiratory Journal. 51(6). 1702509–1702509. 15 indexed citations

3.

Bannier, Michiel, Kim van de Kant, Quirijn Jöbsis, & Edward Dompeling. (2018). Feasibility and diagnostic accuracy of an electronic nose in children with asthma and cystic fibrosis. OA338–OA338. 4 indexed citations

4.

Bannier, Michiel, Kim van de Kant, Jan Baumbach, Quirijn Jöbsis, & Edward Dompeling. (2018). Exhaled breath analysis by ion mobility spectrometry in children with asthma and cystic fibrosis. PA4613–PA4613. 5 indexed citations

5.

Winkens, Björn, Geertjan Wesseling, Dillys van Vliet, et al.. (2017). Early detection of pulmonary exacerbations in children with Cystic Fibrosis by electronic home monitoring of symptoms and lung function. Scientific Reports. 7(1). 12350–12350. 24 indexed citations

6.

Vliet, Dillys van, Kim van de Kant, Björn Winkens, et al.. (2014). Electronic monitoring of symptoms and lung function to assess asthma control in children. Annals of Allergy Asthma & Immunology. 113(3). 257–262.e1. 11 indexed citations

7.

Klaassen, Ester M.M., et al.. (2012). Can response to inhaled corticosteroids in preschool children with recurrent wheezing predict asthma at age six years. 40. 4098. 1 indexed citations

8.

Kotz, Daniel, Kim van de Kant, Quirijn Jöbsis, & Constant P. van Schayck. (2007). Effects of tobacco exposure on lung health and pulmonary biomarkers in young, healthy smokers aged 12–25 years: a systematic review. Expert Review of Respiratory Medicine. 1(3). 403–418. 3 indexed citations

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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