Berend‐Jan Bosch

23.4k total citations · 12 hit papers
122 papers, 14.5k citations indexed

About

Berend‐Jan Bosch is a scholar working on Infectious Diseases, Animal Science and Zoology and Genetics. According to data from OpenAlex, Berend‐Jan Bosch has authored 122 papers receiving a total of 14.5k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Infectious Diseases, 66 papers in Animal Science and Zoology and 25 papers in Genetics. Recurrent topics in Berend‐Jan Bosch's work include SARS-CoV-2 and COVID-19 Research (83 papers), Animal Virus Infections Studies (66 papers) and Viral gastroenteritis research and epidemiology (37 papers). Berend‐Jan Bosch is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (83 papers), Animal Virus Infections Studies (66 papers) and Viral gastroenteritis research and epidemiology (37 papers). Berend‐Jan Bosch collaborates with scholars based in Netherlands, United States and Germany. Berend‐Jan Bosch's co-authors include Peter J. M. Rottier, Cornelis A. M. de Haan, Bart L. Haagmans, Wentao Li, Frank J. M. van Kuppeveld, Ruurd van der Zee, Albert D. M. E. Osterhaus, Christian Drosten, Marcel A. Müller and M. Alejandra Tortorici and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Berend‐Jan Bosch

120 papers receiving 14.2k citations

Hit Papers

Dipeptidyl peptidase 4 is a functional receptor ... 2003 2026 2010 2018 2013 2003 2020 2020 2019 500 1000 1.5k

Peers

Berend‐Jan Bosch
Raoul J. de Groot Netherlands
Mark R. Denison United States
Volker Thiel Switzerland
Fang Li China
Yuxian He China
Rachel L. Graham United States
Raoul J. de Groot Netherlands
Berend‐Jan Bosch
Citations per year, relative to Berend‐Jan Bosch Berend‐Jan Bosch (= 1×) peers Raoul J. de Groot

Countries citing papers authored by Berend‐Jan Bosch

Since Specialization
Citations

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

Fields of papers citing papers by Berend‐Jan Bosch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Berend‐Jan Bosch. 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 Berend‐Jan Bosch. The network helps show where Berend‐Jan Bosch may publish in the future.

Co-authorship network of co-authors of Berend‐Jan Bosch

This figure shows the co-authorship network connecting the top 25 collaborators of Berend‐Jan Bosch. A scholar is included among the top collaborators of Berend‐Jan Bosch 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 Berend‐Jan Bosch. Berend‐Jan Bosch 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.
Du, Wenjuan, Dubravka Drabek, Rien van Haperen, et al.. (2024). Neutralizing antibodies reveal cryptic vulnerabilities and interdomain crosstalk in the porcine deltacoronavirus spike protein. Nature Communications. 15(1). 5330–5330. 5 indexed citations
4.
Meuris, Leander, Frank J. M. van Kuppeveld, Daniel L. Hurdiss, et al.. (2024). Nanoparticle display of neuraminidase elicits enhanced antibody responses and protection against influenza A virus challenge. npj Vaccines. 9(1). 97–97. 7 indexed citations
5.
Vermeulen, Cornelis J., Remco Dijkman, Sjaak de Wit, et al.. (2023). Genetic analysis of infectious bronchitis virus (IBV) in vaccinated poultry populations over a period of 10 years. Avian Pathology. 52(3). 157–167. 10 indexed citations
6.
Sikkema, Reina S., Erwin de Bruin, Christian Ramakers, et al.. (2023). Reduced Seasonal Coronavirus Antibody Responses in Children Following COVID-19 Mitigation Measures, The Netherlands. Viruses. 15(1). 212–212. 4 indexed citations
7.
Chatterjee, Maitrayee, Anna Z. Mykytyn, Chunyan Wang, et al.. (2023). Glycosylated extracellular mucin domains protect against SARS-CoV-2 infection at the respiratory surface. PLoS Pathogens. 19(8). e1011571–e1011571. 19 indexed citations
8.
Wang, Chunyan, Emma L. Hesketh, Wentao Li, et al.. (2022). Antigenic structure of the human coronavirus OC43 spike reveals exposed and occluded neutralizing epitopes. Nature Communications. 13(1). 2921–2921. 20 indexed citations
9.
Lindo, Viv, Wenjuan Du, Berend‐Jan Bosch, et al.. (2022). Suitability of transiently expressed antibodies for clinical studies: product quality consistency at different production scales. mAbs. 14(1). 2052228–2052228. 6 indexed citations
10.
Gillard, Joshua, Ria Philipsen, Kjerstin Lanke, et al.. (2021). SARS-CoV-2 mucosal antibody development and persistence and their relation to viral load and COVID-19 symptoms. Nature Communications. 12(1). 5621–5621. 58 indexed citations
11.
Langereis, Martijn A., Irina C. Albulescu, Judith Stammen‐Vogelzangs, et al.. (2021). An alphavirus replicon-based vaccine expressing a stabilized Spike antigen induces protective immunity and prevents transmission of SARS-CoV-2 between cats. npj Vaccines. 6(1). 122–122. 20 indexed citations
12.
Sauer, Maximilian M., M. Alejandra Tortorici, Young‐Jun Park, et al.. (2021). Structural basis for broad coronavirus neutralization. Nature Structural & Molecular Biology. 28(6). 478–486. 100 indexed citations
13.
Wang, Chunyan, Rien van Haperen, Francisco J. Gutierrez-Alvarez, et al.. (2021). A conserved immunogenic and vulnerable site on the coronavirus spike protein delineated by cross-reactive monoclonal antibodies. Nature Communications. 12(1). 1715–1715. 95 indexed citations
14.
Fédry, Juliette, Daniel L. Hurdiss, Chunyan Wang, et al.. (2021). Structural insights into the cross-neutralization of SARS-CoV and SARS-CoV-2 by the human monoclonal antibody 47D11. Science Advances. 7(23). 42 indexed citations
15.
Tol, Sophie van, Ramona Mögling, Wentao Li, et al.. (2020). Accurate serology for SARS-CoV-2 and common human coronaviruses using a multiplex approach. Emerging Microbes & Infections. 9(1). 1965–1973. 25 indexed citations
16.
Lang, Yifei, Wentao Li, Zeshi Li, et al.. (2020). Coronavirus hemagglutinin-esterase and spike proteins coevolve for functional balance and optimal virion avidity. Proceedings of the National Academy of Sciences. 117(41). 25759–25770. 57 indexed citations
17.
Wang, Chunyan, Wentao Li, Dubravka Drabek, et al.. (2020). A human monoclonal antibody blocking SARS-CoV-2 infection. Nature Communications. 11(1). 2251–2251. 729 indexed citations breakdown →
18.
Zhao, Shan, et al.. (2019). Serological Screening for Coronavirus Infections in Cats. Viruses. 11(8). 743–743. 23 indexed citations
19.
Raj, V. Stalin, Nisreen M.A. Okba, Francisco J. Gutierrez-Alvarez, et al.. (2018). Chimeric camel/human heavy-chain antibodies protect against MERS-CoV infection. Science Advances. 4(8). eaas9667–eaas9667. 59 indexed citations
20.
Guardado‐Calvo, Pablo, Scott A. Jeffers, Marija Backović, et al.. (2017). A glycerophospholipid-specific pocket in the RVFV class II fusion protein drives target membrane insertion. Science. 358(6363). 663–667. 59 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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