David Zuijdgeest

3.3k total citations
5 papers, 280 citations indexed

About

David Zuijdgeest is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, David Zuijdgeest has authored 5 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in David Zuijdgeest's work include Virus-based gene therapy research (3 papers), CAR-T cell therapy research (3 papers) and Influenza Virus Research Studies (2 papers). David Zuijdgeest is often cited by papers focused on Virus-based gene therapy research (3 papers), CAR-T cell therapy research (3 papers) and Influenza Virus Research Studies (2 papers). David Zuijdgeest collaborates with scholars based in Netherlands, United Kingdom and France. David Zuijdgeest's co-authors include Jaap Goudsmit, Ronald Vogels, Menzo Havenga, Gert Gillissen, Lennart Holterman, Jorn Kaspers, Remko van der Vlugt, Angelique A. C. Lemckert, Eric Geelen and Jerome Custers and has published in prestigious journals such as Journal of Virology, Frontiers in Immunology and Journal of General Virology.

In The Last Decade

David Zuijdgeest

5 papers receiving 270 citations

Peers

David Zuijdgeest
Comparison fields: 5 of 29
  • Genetics 179
  • Molecular Biology 134
  • Infectious Diseases 116
  • Epidemiology 101
  • Oncology 71
Replace Timothy J. Toner with:
Timothy J. Toner United States
Remko van der Vlugt Netherlands
Kristina Lindman Sweden
Joanna Poutou Spain
Mulu Z. Tesfay United States
Miguel Ángel Muñoz-Alía United States
Linda J. Lockett Australia
Nicolas Laroudie France
Claes Wohlfart Sweden
Lisa J. Caproni United Kingdom
Timothy J. Toner United States View profile →
Citations per field, relative to David Zuijdgeest
David Zuijdgeest · 1×
Citations per year, relative to David Zuijdgeest
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Countries citing papers authored by David Zuijdgeest

Since Specialization
Citations

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

Fields of papers citing papers by David Zuijdgeest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Zuijdgeest

This figure shows the co-authorship network connecting the top 25 collaborators of David Zuijdgeest. A scholar is included among the top collaborators of David Zuijdgeest 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 David Zuijdgeest. David Zuijdgeest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
# Work Indexed citations
1 48
2 22
3 10
4 78
5 122

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