J. Sjef Verbeek

10.6k citations
129 papers · 7.9k indexed · 1 hit paper · h-index 52

J. Sjef Verbeek

129 papers receiving 7.8k citations

Hit Papers

Arthritis Critically Dependent on Innate Immune System Pl...20022026201020182002100200300400500

Peers

J. Sjef Verbeek
Comparison fields: 5 of 122
  • Immunology 4.8k
  • Radiology, Nuclear Medicine and Imaging 2.8k
  • Molecular Biology 2.5k
  • Oncology 844
  • Immunology and Allergy 739
Replace Silvia Bolland with:
Silvia Bolland United States
Daisuke Kitamura Japan
Robert A. Eisenberg United States
Osami Kanagawa United States
Martin E. Dorf United States
Timo K. van den Berg Netherlands
Paola Migliorini Italy
Patricia J. McConahey United States
Shozo Izui Switzerland
Peter N. Monk United Kingdom
J. Sjef Verbeek relative to Silvia Bolland United States Silvia Bolland's profile →
Citations per field
00.5×1.5×1.8×
Silvia Bolland · 1×
Citations per year

Countries citing papers authored by J. Sjef Verbeek

Since Specialization
Citations

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

Fields of papers citing papers by J. Sjef Verbeek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Sjef Verbeek. 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 J. Sjef Verbeek. The network helps show where J. Sjef Verbeek may publish in the future.

Co-authorship network of co-authors of J. Sjef Verbeek

This figure shows the co-authorship network connecting the top 25 collaborators of J. Sjef Verbeek. A scholar is included among the top collaborators of J. Sjef Verbeek 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 J. Sjef Verbeek. J. Sjef Verbeek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 48
3 5
4 164
5 7
6 61
7 3
8 27
9 6
10 88
11 241
12 34
13 14
14 37
15 14
16 19
17 51
18 97
19 65
20 98

About J. Sjef Verbeek

J. Sjef Verbeek is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 129 papers that have together received 7.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (74 papers), T-cell and B-cell Immunology (41 papers) and Glycosylation and Glycoproteins Research (24 papers). The work is most often cited by research in Immunology (4.8k citations), Immunology and Allergy (739 citations) and Radiology, Nuclear Medicine and Imaging (2.8k citations). J. Sjef Verbeek has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Frans M.A. Hofhuis, J. Engelbert Gessner, Jan G. J. van de Winkel, Ferry Ossendorp, Reinhold Schmidt, Takashi Saito, Wouter L. W. Hazenbos, P J Capel, Ingmar Heijnen and Dirk Meyer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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