Robert Jan Lebbink

5.4k total citations
67 papers, 3.1k citations indexed

About

Robert Jan Lebbink is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Robert Jan Lebbink has authored 67 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 24 papers in Epidemiology and 23 papers in Immunology. Recurrent topics in Robert Jan Lebbink's work include Immune Cell Function and Interaction (18 papers), Cytomegalovirus and herpesvirus research (15 papers) and CRISPR and Genetic Engineering (10 papers). Robert Jan Lebbink is often cited by papers focused on Immune Cell Function and Interaction (18 papers), Cytomegalovirus and herpesvirus research (15 papers) and CRISPR and Genetic Engineering (10 papers). Robert Jan Lebbink collaborates with scholars based in Netherlands, Germany and United States. Robert Jan Lebbink's co-authors include Linde Meyaard, Emmanuel J. H. J. Wiertz, Talitha de Ruiter, Michael T. McManus, Elisabeth Kruse, Richard W. Farndale, Ferdy R. van Diemen, Peter J. Lenting, Jasper A. Soppe and Emily M LeProust and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Robert Jan Lebbink

64 papers receiving 3.1k citations

Peers

Robert Jan Lebbink
Robert B. DuBridge United States
Deborah Palliser United States
Reinhard Schwartz‐Albiez Germany
Oxana A. Malakhova United States
Eisaku Kondo Japan
Bernard Krust France
Rachel M. Gerstein United States
Yajun Guo China
Christine Hohenadl Austria
Luise Florin Germany
Robert B. DuBridge United States
Robert Jan Lebbink
Citations per year, relative to Robert Jan Lebbink Robert Jan Lebbink (= 1×) peers Robert B. DuBridge

Countries citing papers authored by Robert Jan Lebbink

Since Specialization
Citations

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

Fields of papers citing papers by Robert Jan Lebbink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Jan Lebbink. 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 Robert Jan Lebbink. The network helps show where Robert Jan Lebbink may publish in the future.

Co-authorship network of co-authors of Robert Jan Lebbink

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Jan Lebbink. A scholar is included among the top collaborators of Robert Jan Lebbink 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 Robert Jan Lebbink. Robert Jan Lebbink 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.
Luteijn, Rutger D., Estefanía Lozano−Andrés, Wentao Li, et al.. (2025). Identification of β4GALNT2 as an anti-hPIV3 factor through genome-wide CRISPR/Cas9 library screening. Emerging Microbes & Infections. 14(1). 2529895–2529895. 1 indexed citations
2.
Xu, Zhuojia, Peng Xi, Hongmei Zhu, et al.. (2025). Genome-wide CRISPR screen reveals key role of sialic acids in PEDV and porcine coronavirus infections. mBio. 16(9). e0162825–e0162825.
3.
Scholman, Rianne C., Michal Mokrý, Robert Jan Lebbink, et al.. (2024). N6-methyladenosine promotes TNF mRNA degradation in CD4+ T lymphocytes. Journal of Leukocyte Biology. 116(4). 807–815. 2 indexed citations
4.
Cremer, Tom, Michael L. van de Weijer, George M. C. Janssen, et al.. (2024). Proinsulin degradation and presentation of a proinsulin B-chain autoantigen involves ER-associated protein degradation (ERAD)-enzyme UBE2G2. PLoS ONE. 19(5). e0287877–e0287877. 4 indexed citations
5.
Werner, Julia, Elena De Marchi, Anna Pegoraro, et al.. (2024). The purinergic receptor P2X7 as a modulator of viral vector-mediated antigen cross-presentation. Frontiers in Immunology. 15. 1360140–1360140. 2 indexed citations
6.
Scholman, Rianne C., Rupa Banerjee, Michiel van der Vlist, et al.. (2024). m6A Reader YTHDC1 Impairs Respiratory Syncytial Virus Infection by Downregulating Membrane CX3CR1 Expression. Viruses. 16(5). 778–778. 7 indexed citations
7.
Le‐Trilling, Vu Thuy Khanh, Andrea Graziadei, Jörg Bürger, et al.. (2023). Structural mechanism of CRL4‐instructed STAT2 degradation via a novel cytomegaloviral DCAF receptor. The EMBO Journal. 42(5). e112351–e112351. 5 indexed citations
8.
Scholman, Rianne C., Michal Mokrý, Robert Jan Lebbink, et al.. (2023). N6-Methyladenosine Directly Regulates CD40L Expression in CD4+ T Lymphocytes. Biology. 12(7). 1004–1004. 9 indexed citations
9.
Lebbink, Robert Jan, Daniel P. Depledge, Claudia M. E. Schapendonk, et al.. (2021). Mutagenesis of the Varicella-Zoster Virus Genome Demonstrates That VLT and VLT-ORF63 Proteins Are Dispensable for Lytic Infection. Viruses. 13(11). 2289–2289. 3 indexed citations
10.
Vlist, Michiel van der, M Inês Pascoal Ramos, Lucas L. van den Hoogen, et al.. (2021). Signaling by the inhibitory receptor CD200R is rewired by type I interferon. Science Signaling. 14(704). eabb4324–eabb4324. 9 indexed citations
11.
Tromp, Angelino T., Michiel van Gent, Carla J. C. de Haas, et al.. (2020). Host–Receptor Post-Translational Modifications Refine Staphylococcal Leukocidin Cytotoxicity. Toxins. 12(2). 106–106. 10 indexed citations
12.
Tang, Jiajia, Giada Frascaroli, Robert Jan Lebbink, Eléonore Ostermann, & Wolfram Brune. (2019). Human cytomegalovirus glycoprotein B variants affect viral entry, cell fusion, and genome stability. Proceedings of the National Academy of Sciences. 116(36). 18021–18030. 27 indexed citations
13.
Lebbink, Robert Jan, Femke Wolters, Elisabeth Kruse, et al.. (2017). A combinational CRISPR/Cas9 gene-editing approach can halt HIV replication and prevent viral escape. Scientific Reports. 7(1). 41968–41968. 104 indexed citations
14.
D’Astolfo, Diego S., Romina J. Pagliero, Wouter R. Karthaus, et al.. (2015). Efficient Intracellular Delivery of Native Proteins. Cell. 161(3). 674–690. 284 indexed citations
15.
Zaldumbide, Arnaud, Marten A. Engelse, Cesare Hassan, et al.. (2015). Proteasomal Degradation of Proinsulin Requires Derlin-2, HRD1 and p97. PLoS ONE. 10(6). e0128206–e0128206. 28 indexed citations
16.
Lebbink, Robert Jan, et al.. (2011). Polymerase II Promoter Strength Determines Efficacy of microRNA Adapted shRNAs. PLoS ONE. 6(10). e26213–e26213. 30 indexed citations
17.
Lebbink, Robert Jan & Linde Meyaard. (2006). Non-MHC ligands for inhibitory immune receptors: Novel insights and implications for immune regulation. Molecular Immunology. 44(9). 2153–2164. 28 indexed citations
18.
19.
Lebbink, Robert Jan, et al.. (2003). High-Throughput Screening of Mutant α-Amylase Libraries for Increased Activity at 129°C. Humana Press eBooks. 230. 127–136. 3 indexed citations
20.
Brinkman, Arie B., Stephen D. Bell, Robert Jan Lebbink, Willem M. de Vos, & John van der Oost. (2002). The Sulfolobus solfataricus Lrp-like Protein LysM Regulates Lysine Biosynthesis in Response to Lysine Availability. Journal of Biological Chemistry. 277(33). 29537–29549. 90 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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