Robert‐Jan van Suylen

73 total papers · 2.8k total citations
43 papers, 2.1k citations indexed

About

Robert‐Jan van Suylen is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Robert‐Jan van Suylen has authored 43 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 12 papers in Surgery and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Robert‐Jan van Suylen's work include Lung Cancer Research Studies (9 papers), Neuroendocrine Tumor Research Advances (7 papers) and Neuroblastoma Research and Treatments (5 papers). Robert‐Jan van Suylen is often cited by papers focused on Lung Cancer Research Studies (9 papers), Neuroendocrine Tumor Research Advances (7 papers) and Neuroblastoma Research and Treatments (5 papers). Robert‐Jan van Suylen collaborates with scholars based in Netherlands, United States and Switzerland. Robert‐Jan van Suylen's co-authors include Anne‐Marie C. Dingemans, Pim J. de Feyter, Eric J. Topol, Patrick W. Serruys, Peter P.T. de Jaegere, Mat J.A.P. Daemen, Sylvia Heeneman, Kitty B.J.M. Cleutjens, Erik Thunnissen and Birgit Faber and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Journal of the American College of Cardiology.

In The Last Decade

Robert‐Jan van Suylen

42 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Robert‐Jan van Suylen 708 653 567 496 477 43 2.1k
Marc Faraggi 450 0.6× 968 1.5× 539 1.0× 662 1.3× 1.1k 2.3× 90 2.6k
J. Robert Cassady 707 1.0× 152 0.2× 485 0.9× 196 0.4× 259 0.5× 42 2.9k
Peter Smeets 544 0.8× 263 0.4× 805 1.4× 276 0.6× 734 1.5× 70 2.2k
Andreas Schuck 1.8k 2.6× 381 0.6× 642 1.1× 103 0.2× 554 1.2× 64 2.8k
Christian Cohade 766 1.1× 344 0.5× 523 0.9× 229 0.5× 2.0k 4.1× 37 3.3k
Christiane Franzius 1.1k 1.5× 219 0.3× 594 1.0× 184 0.4× 820 1.7× 59 2.2k
Eriko Tsukamoto 1.1k 1.5× 309 0.5× 515 0.9× 161 0.3× 1.2k 2.5× 97 2.5k
A.M. Cassoni 963 1.4× 151 0.2× 676 1.2× 223 0.4× 242 0.5× 37 2.2k
Jonathan C. Nesbitt 1.6k 2.3× 387 0.6× 1.0k 1.8× 210 0.4× 420 0.9× 65 2.7k
Martin P. Sandler 548 0.8× 264 0.4× 654 1.2× 352 0.7× 1.4k 2.8× 86 2.6k

Countries citing papers authored by Robert‐Jan van Suylen

Since Specialization
Citations

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

Fields of papers citing papers by Robert‐Jan van Suylen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert‐Jan van Suylen

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