Jan van Schaik

96 total papers · 975 total citations
58 papers, 436 citations indexed

About

Jan van Schaik is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jan van Schaik has authored 58 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pulmonary and Respiratory Medicine, 28 papers in Surgery and 16 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jan van Schaik's work include Aortic aneurysm repair treatments (21 papers), Peripheral Artery Disease Management (15 papers) and Aortic Disease and Treatment Approaches (13 papers). Jan van Schaik is often cited by papers focused on Aortic aneurysm repair treatments (21 papers), Peripheral Artery Disease Management (15 papers) and Aortic Disease and Treatment Approaches (13 papers). Jan van Schaik collaborates with scholars based in Netherlands, United States and Switzerland. Jan van Schaik's co-authors include Jaap F. Hamming, Joost R. van der Vorst, Koen E.A. van der Bogt, Pim van den Hoven, Abbey Schepers, Alexander L. Vahrmeijer, Joris I. Rotmans, J.M. van Baalen, Marco C. DeRuiter and D. Eefting and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Surgery and Journal of Operations Management.

In The Last Decade

Jan van Schaik

51 papers receiving 431 citations

Author Peers

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

Author						Papers	Cites
Jan van Schaik	199	173	86	75	67	58	436
Edwin A. Takahashi	198 1.0×	166 1.0×	84 1.0×	103 1.4×	34 0.5×	50	487
Gregg Landis	181 0.9×	216 1.2×	97 1.1×	50 0.7×	62 0.9×	43	446
Necip Becit	293 1.5×	139 0.8×	172 2.0×	47 0.6×	49 0.7×	55	482
Elżbieta Czekajska−Chehab	219 1.1×	128 0.7×	68 0.8×	29 0.4×	20 0.3×	62	463
Takahiro Toyofuku	282 1.4×	200 1.2×	60 0.7×	26 0.3×	29 0.4×	45	460
Glenn Wei Leong Tan	214 1.1×	157 0.9×	46 0.5×	15 0.2×	66 1.0×	53	434
Masatoshi Jibiki	309 1.6×	245 1.4×	82 1.0×	16 0.2×	33 0.5×	43	483
Young Kwon Cho	202 1.0×	126 0.7×	23 0.3×	86 1.1×	37 0.6×	39	396
Hyangkyoung Kim	287 1.4×	238 1.4×	93 1.1×	28 0.4×	72 1.1×	73	488
David Barillà	174 0.9×	282 1.6×	80 0.9×	14 0.2×	182 2.7×	33	485

Countries citing papers authored by Jan van Schaik

Since Specialization

Citations

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

Fields of papers citing papers by Jan van Schaik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan van Schaik

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