Sjef Verbeek

2.6k total citations · 2 hit papers
14 papers, 2.2k citations indexed

About

Sjef Verbeek is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Sjef Verbeek has authored 14 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Sjef Verbeek's work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Sjef Verbeek is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Sjef Verbeek collaborates with scholars based in Netherlands, United States and France. Sjef Verbeek's co-authors include Anton Berns, Ellen Wientjens, Maarten van Lohuizen, Sebastián Amigorena, Christian Bonnerot, Paola Ricciardi‐Castagnoli, Clotilde Théry, Valérie Lacabanne, Ana Rodrı́guez and María Rescigno and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sjef Verbeek

14 papers receiving 2.1k citations

Hit Papers

Fcγ Receptor–mediated Induction of Dendritic Cell Maturat... 1991 2026 2002 2014 1999 1991 200 400 600

Peers

Sjef Verbeek
Comparison fields: 5 of 80
  • Immunology 1.2k
  • Molecular Biology 905
  • Oncology 423
  • Radiology, Nuclear Medicine and Imaging 330
  • Pathology and Forensic Medicine 195
Replace Anthony W. Siadak with:
Anthony W. Siadak United States
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Chamorro Somoza United Kingdom
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Anthony W. Siadak United States View profile →
Citations per field, relative to Sjef Verbeek
Sjef Verbeek · 1×
Citations per year, relative to Sjef Verbeek
Sjef Verbeek · 1×

Countries citing papers authored by Sjef Verbeek

Since Specialization
Citations

This map shows the geographic impact of 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 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 Sjef Verbeek more than expected).

Fields of papers citing papers by Sjef Verbeek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sjef Verbeek

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 22
2 162
3 55
4 15
5 111
6 5
7
Fcγ Receptor–mediated Induction of Dendritic Cell Maturation and Major Histocompatibility Complex Class I–restricted Antigen Presentation after Immune Complex Internalization breakdown →
727
8
Carcinogen-induced lymphomagenesis in pim-1 transgenic mice: dose dependence and involvement of myc and ras.
62
9
E mu N- and E mu L-myc cooperate with E mu pim-1 to generate lymphoid tumors at high frequency in double-transgenic mice.
79
10
Identification of cooperating oncogenes in Eμ-myc transgenic mice by provirus tagging breakdown →
640
11 72
12 104
13 63
14 43

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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