Johnson & Johnson (Netherlands)

About

In recent decades, authors affiliated with Johnson & Johnson (Netherlands) have published 260 papers, which have received a total of 10.3k indexed citations. Scholars at this organization have produced 87 papers in Epidemiology, 72 papers in Molecular Biology and 63 papers in Infectious Diseases on the topics of Virus-based gene therapy research (43 papers), Influenza Virus Research Studies (29 papers) and Respiratory viral infections research (22 papers). Their work is cited by papers focused on Molecular Biology (3.6k citations), Infectious Diseases (3.0k citations) and Genetics (2.7k citations). Authors at Johnson & Johnson (Netherlands) collaborate with scholars in Netherlands, United States and United Kingdom and have published in prestigious journals including Nature, Cell and Proceedings of the National Academy of Sciences. Some of Johnson & Johnson (Netherlands)'s most productive authors include Jaap Goudsmit, Menzo Havenga, Angelique A. C. Lemckert, Maria Grazia Pau, Dan H. Barouch, John de Kruif, D. W. van Bekkum, Jerome Custers, Jan ter Meulen and Gerrit Jan Weverling.

In The Last Decade

Johnson & Johnson (Netherlands)

246 papers receiving 10.3k citations

Fields of papers published by authors at Johnson & Johnson (Netherlands)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Johnson & Johnson (Netherlands) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Johnson & Johnson (Netherlands) at the time of their publication.

Countries citing scholars working at Johnson & Johnson (Netherlands)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Johnson & Johnson (Netherlands). 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 papers produced at Johnson & Johnson (Netherlands) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johnson & Johnson (Netherlands) more than expected).

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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2026