Berend‐Jan Bosch

23.4k citations
122 papers · 14.5k indexed · 12 hit papers · h-index 59
Topics
SARS-CoV-2 and COVID-19 Research (83 papers)Animal Virus Infections Studies (66 papers)Viral gastroenteritis research and epidemiology (37 papers)

In The Last Decade

Berend‐Jan Bosch

120 papers receiving 14.2k citations

Hit Papers

Dipeptidyl peptidase 4 is a functional receptor ...20032026201020182013200320202020201950010001.5k

Peers

Berend‐Jan Bosch
Comparison fields: 5 of 151
  • Infectious Diseases 11.8k
  • Animal Science and Zoology 4.5k
  • Molecular Biology 2.4k
  • Epidemiology 1.6k
  • Genetics 1.6k
Replace Raoul J. de Groot with:
Raoul J. de Groot Netherlands
Mark R. Denison United States
Volker Thiel Switzerland
Luis Enjuanes Spain
Fang Li China
David Veesler United States
Rachel L. Graham United States
Isabel Sola Spain
Matthew B. Frieman United States
M. Alejandra Tortorici United States
Berend‐Jan Bosch relative to Raoul J. de Groot Netherlands Raoul J. de Groot's profile →
Citations per field
00.5×2.9×
Raoul J. de Groot · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 0
3 5
4 7
5 10
6 4
7 19
8 20
9 6
10 58
11 20
12 100
13 95
14 42
15 25
16 57
17
A human monoclonal antibody blocking SARS-CoV-2 infectionbreakdown →
729
18 23
19 59
20 59

About Berend‐Jan Bosch

Berend‐Jan Bosch is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics, having authored 122 papers that have together received 14.5k indexed citations. Recurring topics across this 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). The work is most often cited by research in Infectious Diseases (11.8k citations), Animal Science and Zoology (4.5k citations) and Modeling and Simulation (970 citations). Berend‐Jan Bosch has collaborated with scholars based in Netherlands, United States and Germany. Frequent 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. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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