Jan A. Rauwerda

113 total papers · 3.6k total citations
97 papers, 2.7k citations indexed

About

Jan A. Rauwerda is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jan A. Rauwerda has authored 97 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Pulmonary and Respiratory Medicine, 37 papers in Surgery and 23 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jan A. Rauwerda's work include Aortic aneurysm repair treatments (21 papers), Aortic Disease and Treatment Approaches (19 papers) and Folate and B Vitamins Research (16 papers). Jan A. Rauwerda is often cited by papers focused on Aortic aneurysm repair treatments (21 papers), Aortic Disease and Treatment Approaches (19 papers) and Folate and B Vitamins Research (16 papers). Jan A. Rauwerda collaborates with scholars based in Netherlands, United States and Belgium. Jan A. Rauwerda's co-authors include Coen D.A. Stehouwer, Willem Wisselink, M. van den Berg, Rijk O. B. Gans, A. B. Johan Groeneveld, Henk J. Blom, A. J. M. Donker, Miguel A. Cuesta, D. G. Franken and K. Bakker and has published in prestigious journals such as Circulation, Diabetes Care and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Jan A. Rauwerda

94 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Jan A. Rauwerda 933 735 676 608 410 97 2.7k
Richard M. Lampman 976 1.0× 358 0.5× 235 0.3× 502 0.8× 360 0.9× 61 2.3k
Sagar U. Nigwekar 919 1.0× 1.0k 1.4× 417 0.6× 515 0.8× 231 0.6× 116 4.1k
Tomas Jogestrand 878 0.9× 729 1.0× 490 0.7× 1.1k 1.8× 539 1.3× 108 4.1k
Chiara Mussi 1.3k 1.4× 1.6k 2.2× 512 0.8× 1.2k 1.9× 597 1.5× 109 4.3k
A. J. M. Donker 531 0.6× 607 0.8× 375 0.6× 541 0.9× 335 0.8× 105 2.9k
Nira Koren‐Morag 506 0.5× 568 0.8× 132 0.2× 1.2k 1.9× 470 1.1× 91 3.2k
Jun Lü 441 0.5× 905 1.2× 130 0.2× 813 1.3× 419 1.0× 140 3.5k
Walter Markiewicz 818 0.9× 826 1.1× 189 0.3× 1.9k 3.0× 258 0.6× 92 3.8k
Piet M. ter Wee 1.4k 1.5× 682 0.9× 272 0.4× 484 0.8× 614 1.5× 141 4.8k
Elizabeth J. Samelson 1.3k 1.4× 164 0.2× 473 0.7× 282 0.5× 499 1.2× 67 3.8k

Countries citing papers authored by Jan A. Rauwerda

Since Specialization
Citations

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

Fields of papers citing papers by Jan A. Rauwerda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan A. Rauwerda

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