Erwin van Puijenbroek

44 total papers · 2.0k total citations
12 papers, 219 citations indexed

About

Erwin van Puijenbroek is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Erwin van Puijenbroek has authored 12 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Erwin van Puijenbroek's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (3 papers) and HER2/EGFR in Cancer Research (3 papers). Erwin van Puijenbroek is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (3 papers) and HER2/EGFR in Cancer Research (3 papers). Erwin van Puijenbroek collaborates with scholars based in Switzerland, Germany and United States. Erwin van Puijenbroek's co-authors include Pablo Umaña, Thomas Friess, Christian Klein, Sylvia Herter, Sabine M. Lang, Valeria Nicolini, Birgit Bossenmaier, Christian A. Gerdes, Carola H. Ries and Ekkehard Moessner and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Cancer Research.

In The Last Decade

Erwin van Puijenbroek

10 papers receiving 210 citations

Author Peers

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

Author Last Decade Papers Cites
Erwin van Puijenbroek 117 115 94 69 37 12 219
Kevin Schifferli 68 0.6× 75 0.7× 84 0.9× 73 1.1× 9 0.2× 12 212
Long Li 23 0.2× 90 0.8× 87 0.9× 65 0.9× 26 0.7× 14 208
Nairouz Elgeioushi 52 0.4× 112 1.0× 111 1.2× 45 0.7× 23 0.6× 14 224
Mary Birchler 139 1.2× 54 0.5× 129 1.4× 107 1.6× 16 0.4× 12 277
Frank Osterroth 94 0.8× 114 1.0× 135 1.4× 77 1.1× 30 0.8× 11 250
Jaafar N. Haidar 87 0.7× 87 0.8× 69 0.7× 128 1.9× 7 0.2× 11 284
Tanja Fauti 73 0.6× 112 1.0× 151 1.6× 113 1.6× 6 0.2× 11 309
Katy A. Lloyd 90 0.8× 71 0.6× 171 1.8× 80 1.2× 5 0.1× 11 257
Thijs T. Wind 46 0.4× 148 1.3× 46 0.5× 70 1.0× 11 0.3× 8 214
Patrick Brunhoeber 39 0.3× 108 0.9× 53 0.6× 61 0.9× 20 0.5× 9 196

Countries citing papers authored by Erwin van Puijenbroek

Since Specialization
Citations

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

Fields of papers citing papers by Erwin van Puijenbroek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erwin van Puijenbroek

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