Sjef Verbeek

4.4k total citations
39 papers, 3.5k citations indexed

About

Sjef Verbeek is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sjef Verbeek has authored 39 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Immunology and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sjef Verbeek's work include Monoclonal and Polyclonal Antibodies Research (13 papers), T-cell and B-cell Immunology (11 papers) and Glycosylation and Glycoproteins Research (7 papers). Sjef Verbeek is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (13 papers), T-cell and B-cell Immunology (11 papers) and Glycosylation and Glycoproteins Research (7 papers). Sjef Verbeek collaborates with scholars based in Netherlands, United States and Germany. Sjef Verbeek's co-authors include Hans Clevers, Anton Berns, Maarten van Lohuizen, Mariëtte A. Oosterwegel, Frans M.A. Hofhuis, Jos Domen, Chris Saris, Paul Krimpenfort, Hein te Riele and H. Robson MacDonald and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Sjef Verbeek

39 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sjef Verbeek Netherlands 26 2.1k 1.1k 667 665 662 39 3.5k
Masaharu Isobe Japan 32 1.8k 0.9× 1.2k 1.1× 876 1.3× 453 0.7× 428 0.6× 81 3.6k
Martin Corcoran Sweden 35 2.1k 1.0× 999 0.9× 521 0.8× 588 0.9× 347 0.5× 72 3.9k
Giandomenico Russo Italy 40 1.9k 0.9× 1.9k 1.7× 1.1k 1.6× 1.1k 1.7× 285 0.4× 93 4.6k
Berit Jungnickel Germany 23 1.7k 0.8× 766 0.7× 556 0.8× 624 0.9× 578 0.9× 48 2.9k
Carmel M. Lynch United States 13 1.1k 0.5× 406 0.4× 990 1.5× 582 0.9× 826 1.2× 22 2.5k
C M Croce United States 36 3.0k 1.5× 608 0.6× 806 1.2× 633 1.0× 819 1.2× 61 4.5k
Almudena R. Ramiro Spain 32 1.8k 0.8× 2.0k 1.9× 611 0.9× 332 0.5× 186 0.3× 65 3.5k
Wasif N. Khan United States 32 1.0k 0.5× 2.6k 2.4× 540 0.8× 302 0.5× 344 0.5× 69 3.9k
Elizabeth Raveché United States 31 818 0.4× 1.6k 1.5× 480 0.7× 349 0.5× 204 0.3× 83 2.8k
Igor Vořechovský United Kingdom 39 3.3k 1.6× 2.5k 2.4× 785 1.2× 516 0.8× 1.6k 2.4× 106 6.2k

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

20 of 20 papers shown
1.
Veltrop, Marcel H. A. M., Laura Van de Vliet, Margriet Hulsker, et al.. (2018). A dystrophic Duchenne mouse model for testing human antisense oligonucleotides. PLoS ONE. 13(2). e0193289–e0193289. 46 indexed citations
2.
Oortveld, Merel A.W., Ivonne M.J.J. van Vlijmen‐Willems, Ferry F.J. Kersten, et al.. (2017). Cathepsin B as a potential cystatin M/E target in the mouse hair follicle. The FASEB Journal. 31(10). 4286–4294. 5 indexed citations
3.
Otten, Marielle A., Gerben J. van der Bij, Sjef Verbeek, et al.. (2008). Experimental Antibody Therapy of Liver Metastases Reveals Functional Redundancy between FcγRI and FcγRIV. The Journal of Immunology. 181(10). 6829–6836. 76 indexed citations
4.
5.
Lent, P.L. van, Lilyanne C. Grevers, Erik Lubberts, et al.. (2006). Fcγ receptors directly mediate cartilage, but not bone, destruction in murine antigen‐induced arthritis: Uncoupling of cartilage damage from bone erosion and joint inflammation. Arthritis & Rheumatism. 54(12). 3868–3877. 53 indexed citations
6.
Juhila, Juuso, et al.. (2006). Podocyte Cell–Specific Expression of Doxycycline Inducible Cre Recombinase in Mice. Journal of the American Society of Nephrology. 17(3). 648–654. 20 indexed citations
7.
Leeuwen, Irma S Lantinga‐van, Wouter N. Leonhard, Martijn H. Breuning, et al.. (2006). Transgenic mice expressing tamoxifen‐inducible Cre for somatic gene modification in renal epithelial cells. genesis. 44(5). 225–232. 57 indexed citations
8.
Nabbe, Karin C., P.L. van Lent, A. E. M. Holthuysen, et al.. (2003). FcγRI Up-Regulation Induced by Local Adenoviral-Mediated Interferon-γ Production Aggravates Chondrocyte Death during Immune Complex-Mediated Arthritis. American Journal Of Pathology. 163(2). 743–752. 25 indexed citations
9.
10.
Lent, Peter L. E. M. van, Karin C. Nabbe, Arjen B. Blom, et al.. (2001). Role of Activatory FcγRI and FcγRIII and Inhibitory FcγRII in Inflammation and Cartilage Destruction during Experimental Antigen-Induced Arthritis. American Journal Of Pathology. 159(6). 2309–2320. 73 indexed citations
11.
Andrés, Belén de, Michael Hagen, Mátyás Sándor, et al.. (1999). A regulatory role for Fcγ receptors (CD16 and CD32) in hematopoiesis. Immunology Letters. 68(1). 109–113. 9 indexed citations
12.
Sigvardsson, Mikael, et al.. (1998). Redundant Regulation of T Cell Differentiation and TCRα Gene Expression by the Transcription Factors LEF-1 and TCF-1. Immunity. 8(1). 11–20. 280 indexed citations
13.
Andrés, Belén de, et al.. (1998). A Regulatory Role for Fcγ Receptors CD16 and CD32 in the Development of Murine B Cells. Blood. 92(8). 2823–2829. 2 indexed citations
14.
Ohteki, Toshiaki, Anne Wilson, Sjef Verbeek, H. Robson MacDonald, & Hans Clevers. (1996). Selectively impaired development of intestinal T cell receptor γδ+ cells and liver CD4+ NK1+ T cell receptor αβ+ cells in T cell factor‐1‐deficient mice. European Journal of Immunology. 26(2). 351–355. 31 indexed citations
15.
Oosterwegel, Mariëtte A., Petra Moerer, Jing Ya, et al.. (1996). Defects in cardiac outflow tract formation and pro-B-lymphocyte expansion in mice lacking Sox-4. Nature. 380(6576). 711–714. 393 indexed citations
16.
Castrop, Jan, Sjef Verbeek, Frans M.A. Hofhuis, & Hans Clevers. (1995). Circumvention of Tolerance for the Nuclear T Cell Protein TCF-1 by Immunization of TCF-1 Knock-Out Mice. Immunobiology. 193(2-4). 281–287. 13 indexed citations
17.
Oostrom, Conny Th.M. van, Frans M.A. Hofhuis, P.M. Dortant, et al.. (1995). Increased susceptibility to ultraviolet-B and carcinogens of mice lacking the DNA excision repair gene XPA. Nature. 377(6545). 169–173. 335 indexed citations
18.
Verbeek, Sjef, David J. Izon, Frans M.A. Hofhuis, et al.. (1995). An HMG-box-containing T-cell factor required for thymocyte differentiation. Nature. 374(6517). 70–74. 420 indexed citations
19.
Lohuizen, Maarten van, Sjef Verbeek, Paul Krimpenfort, et al.. (1989). Predisposition to lymphomagenesis in pim-1 transgenic mice: Cooperation with c-myc and N-myc in murine leukemia virus-induced tumors. Cell. 56(4). 673–682. 427 indexed citations
20.
Berns, Anton, Marco L. Breuer, Sjef Verbeek, & Maarten van Lohuizen. (1989). Transgenic mice as a means to study synergism between oncogenes. International Journal of Cancer. 44(S1). 22–25. 30 indexed citations

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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