Willem Luytjes

4.7k total citations
62 papers, 3.7k citations indexed

About

Willem Luytjes is a scholar working on Epidemiology, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Willem Luytjes has authored 62 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Epidemiology, 28 papers in Infectious Diseases and 24 papers in Animal Science and Zoology. Recurrent topics in Willem Luytjes's work include Respiratory viral infections research (26 papers), Animal Virus Infections Studies (24 papers) and Viral gastroenteritis research and epidemiology (19 papers). Willem Luytjes is often cited by papers focused on Respiratory viral infections research (26 papers), Animal Virus Infections Studies (24 papers) and Viral gastroenteritis research and epidemiology (19 papers). Willem Luytjes collaborates with scholars based in Netherlands, United States and France. Willem Luytjes's co-authors include Willy J. M. Spaan, Peter Palese, Masayoshi Enami, Mark Krystal, Reinhard Vlasak, Jeffrey D. Parvin, Peter J. Bredenbeek, Marian C. Horzinek, Gerben Ferwerda and Puck B. van Kasteren and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Willem Luytjes

62 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Willem Luytjes Netherlands 29 2.1k 1.5k 1.4k 692 678 62 3.7k
Mauro Bendinelli Italy 34 1.2k 0.6× 1.3k 0.8× 1.5k 1.1× 467 0.7× 1.0k 1.5× 137 3.6k
Anjeanette Roberts United States 32 3.6k 1.7× 1.4k 1.0× 1.4k 1.0× 569 0.8× 624 0.9× 40 4.8k
Allen Portner United States 41 1.6k 0.8× 651 0.4× 3.7k 2.7× 775 1.1× 1.1k 1.6× 110 5.1k
Stephen A. Udem United States 35 1.3k 0.6× 521 0.4× 2.6k 1.9× 965 1.4× 840 1.2× 66 3.9k
Alexander Bukreyev United States 46 4.0k 1.9× 845 0.6× 3.2k 2.3× 871 1.3× 505 0.7× 140 6.1k
Mary J. Pantin‐Jackwood United States 44 3.2k 1.5× 1.7k 1.1× 4.2k 3.0× 413 0.6× 309 0.5× 168 5.9k
Leatrice Vogel United States 32 3.2k 1.5× 1.1k 0.8× 1.2k 0.9× 474 0.7× 227 0.3× 41 4.2k
Ming Tan United States 41 4.8k 2.2× 2.3k 1.6× 874 0.6× 480 0.7× 1.7k 2.5× 127 5.7k
Ursula J. Buchholz United States 39 3.3k 1.5× 831 0.6× 4.1k 2.9× 500 0.7× 519 0.8× 96 5.6k
Ronald E. Engle United States 45 3.0k 1.4× 517 0.3× 4.1k 3.0× 471 0.7× 265 0.4× 94 8.1k

Countries citing papers authored by Willem Luytjes

Since Specialization
Citations

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

Fields of papers citing papers by Willem Luytjes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Willem Luytjes

This figure shows the co-authorship network connecting the top 25 collaborators of Willem Luytjes. A scholar is included among the top collaborators of Willem Luytjes 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 Willem Luytjes. Willem Luytjes 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.
2.
Huber, Sietske K. Rosendahl, Ronald Jacobi, Jan van de Kassteele, et al.. (2019). Immunogenicity of Influenza Vaccines: Evidence for Differential Effect of Secondary Vaccination on Humoral and Cellular Immunity. Frontiers in Immunology. 9. 3103–3103. 21 indexed citations
3.
Kaaijk, Patricia & Willem Luytjes. (2015). Vaccination against Lyme disease: Are we ready for it?. Human Vaccines & Immunotherapeutics. 12(3). 757–762. 8 indexed citations
4.
Verdijk, Pauline, et al.. (2015). Safety and immunogenicity of influenza whole inactivated virus vaccines: A phase I randomized clinical trial. Human Vaccines & Immunotherapeutics. 11(4). 983–990. 8 indexed citations
5.
Pouwels, Koen B., et al.. (2013). RSV vaccine in development: Assessing the potential cost-effectiveness in the Dutch elderly population. Vaccine. 31(52). 6254–6260. 15 indexed citations
6.
Kaaijk, Patricia, Arie van der Ende, & Willem Luytjes. (2013). Routine vaccination against MenB. Human Vaccines & Immunotherapeutics. 10(2). 310–316. 11 indexed citations
7.
Rozenbaum, Mark H., Willem Luytjes, Martin C. J. Kneyber, et al.. (2012). Cost-effectiveness of potential infant vaccination against respiratory syncytial virus infection in The Netherlands. Vaccine. 30(31). 4691–4700. 27 indexed citations
8.
Luytjes, Willem, et al.. (2012). Contributing factors to influenza vaccine uptake in general hospitals: an explorative management questionnaire study from the Netherlands. BMC Public Health. 12(1). 1101–1101. 5 indexed citations
9.
Hendriks, J., et al.. (2011). An international technology platform for influenza vaccines. Vaccine. 29. A8–A11. 24 indexed citations
10.
Widjojoatmodjo, Myra N., et al.. (2010). A highly attenuated recombinant human respiratory syncytial virus lacking the G protein induces long-lasting protection in cotton rats. Virology Journal. 7(1). 114–114. 47 indexed citations
11.
Zeijst, B A van der, et al.. (2007). On the design of national vaccination programmes. Vaccine. 25(16). 3143–3145. 5 indexed citations
12.
Jong, Esther C. de, Mariska E. A. van Dijk, Paul Roholl, et al.. (2005). Respiratory Syncytial Virus Infection of Monocyte-Derived Dendritic Cells Decreases Their Capacity to Activate CD4 T Cells. The Journal of Immunology. 175(9). 5904–5911. 103 indexed citations
13.
Zhang, Linong, Felix R. Homberger, Willy J. M. Spaan, & Willem Luytjes. (1997). Recombinant Genomic RNA of Coronavirus MHV-A59 after Coreplication with a DI RNA Containing the MHV-RI Spike Gene. Virology. 230(1). 93–102. 7 indexed citations
14.
Luytjes, Willem, et al.. (1996). The Production of Recombinant Infectious DI-Particles of a Murine Coronavirus in the Absence of Helper Virus. Virology. 218(1). 52–60. 157 indexed citations
15.
Luytjes, Willem, et al.. (1996). Replication of Synthetic Defective Interfering RNAs Derived from Coronavirus Mouse Hepatitis Virus-A59. Virology. 216(1). 174–183. 33 indexed citations
16.
Posthumus, W. P. A., Rob H. Meloen, Luis Enjuanes, et al.. (1990). Linear Neutralizing Epitopes on the Peplomer Protein of Coronaviruses. Advances in experimental medicine and biology. 276. 181–188. 10 indexed citations
17.
Vlasak, Reinhard, Willem Luytjes, Willy J. M. Spaan, & Peter Palese. (1988). Human and bovine coronaviruses recognize sialic acid-containing receptors similar to those of influenza C viruses.. Proceedings of the National Academy of Sciences. 85(12). 4526–4529. 290 indexed citations
18.
Groot, Raoul J. de, Johannes A. Lenstra, Willem Luytjes, et al.. (1987). Sequence and Structure of the Coronavirus Peplomer Protein. Advances in experimental medicine and biology. 218. 31–38. 13 indexed citations
19.
Bredenbeek, Peter J., Jeroen Charité, Willem Luytjes, et al.. (1987). Sequences Involved in the Replication of Coronaviruses. Advances in experimental medicine and biology. 218. 65–72. 5 indexed citations
20.

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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