F. Teding van Berkhout

38 total papers · 625 total citations
23 papers, 495 citations indexed

About

F. Teding van Berkhout is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Epidemiology. According to data from OpenAlex, F. Teding van Berkhout has authored 23 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 6 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in F. Teding van Berkhout's work include Cystic Fibrosis Research Advances (13 papers), Pneumonia and Respiratory Infections (4 papers) and Tracheal and airway disorders (3 papers). F. Teding van Berkhout is often cited by papers focused on Cystic Fibrosis Research Advances (13 papers), Pneumonia and Respiratory Infections (4 papers) and Tracheal and airway disorders (3 papers). F. Teding van Berkhout collaborates with scholars based in Netherlands and Poland. F. Teding van Berkhout's co-authors include Rob J. L. Willems, Tom F.W. Wolfs, Marc J. M. Bonten, Cornelis K. van der Ent, Harry Heijerman, Rebecca K. Stellato, R.W. Brimicombe, Rosa van Mansfeld, Nicole M. de Roos and H. A. Drexhage and has published in prestigious journals such as PLoS ONE, Biochemical Journal and CHEST Journal.

In The Last Decade

F. Teding van Berkhout

22 papers receiving 480 citations

Author Peers

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

Author Last Decade Papers Cites
F. Teding van Berkhout 273 92 86 75 73 23 495
Patrizia Morelli 194 0.7× 42 0.5× 71 0.8× 177 2.4× 17 0.2× 29 500
Lucie Vettoretti 223 0.8× 69 0.8× 123 1.4× 92 1.2× 82 1.1× 14 495
Freddy Frost 255 0.9× 65 0.7× 82 1.0× 33 0.4× 108 1.5× 49 472
Christina Smaczny 337 1.2× 80 0.9× 101 1.2× 100 1.3× 67 0.9× 24 501
Nicolas de Prost 108 0.4× 57 0.6× 235 2.7× 71 0.9× 100 1.4× 34 536
Robert Lawatscheck 145 0.5× 28 0.3× 69 0.8× 76 1.0× 46 0.6× 29 492
Jai Hoon Yoon 165 0.6× 45 0.5× 117 1.4× 65 0.9× 268 3.7× 26 512
Gidon Berger 163 0.6× 57 0.6× 119 1.4× 65 0.9× 55 0.8× 41 532
Dag S. Halvorsen 63 0.2× 93 1.0× 93 1.1× 57 0.8× 31 0.4× 22 424
James A. Pederson 78 0.3× 41 0.4× 47 0.5× 36 0.5× 78 1.1× 24 516

Countries citing papers authored by F. Teding van Berkhout

Since Specialization
Citations

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

Fields of papers citing papers by F. Teding van Berkhout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Teding van Berkhout. 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 F. Teding van Berkhout. The network helps show where F. Teding van Berkhout may publish in the future.

Co-authorship network of co-authors of F. Teding van Berkhout

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