Bernard de Geus
- Radiology, Nuclear Medicine and Imaging top 2%
- Molecular Biology top 10%
- Immunology top 10%
- Infectious Diseases top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Leon FrenkenRobin RuulsC. Theo VerripsMichiel M. HarmsenW StokStephen W. WilsonPaul J. DavisJ. Wil Bos
- Topics
- Monoclonal and Polyclonal Antibodies Research (13 papers)T-cell and B-cell Immunology (10 papers)Protein purification and stability (5 papers)
- Journals
- Applied Microbiology and BiotechnologyEuropean Journal of ImmunologyJournal of Investigative Dermatology
- Partner nations
- NetherlandsSerbiaUnited States
In The Last Decade
Bernard de Geus
24 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 759
- Molecular Biology 753
- Immunology 424
- Infectious Diseases 171
- Cardiology and Cardiovascular Medicine 153
Countries citing papers authored by Bernard de Geus
This map shows the geographic impact of Bernard de Geus'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 Bernard de Geus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard de Geus more than expected).
Fields of papers citing papers by Bernard de Geus
This network shows the impact of papers produced by Bernard de Geus. 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 Bernard de Geus. The network helps show where Bernard de Geus may publish in the future.
Co-authorship network of co-authors of Bernard de Geus
This figure shows the co-authorship network connecting the top 25 collaborators of Bernard de Geus. A scholar is included among the top collaborators of Bernard de Geus 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 Bernard de Geus. Bernard de Geus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 176 | |
| 2 | 110 | |
| 3 | 39 | |
| 4 | 225 | |
| 5 | 365 | |
| 6 | 17 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 22 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 17 | |
| 17 | 33 | |
| 18 | 4 | |
| 19 | 100 | |
| 20 | 158 |
About Bernard de Geus
Bernard de Geus is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Endocrinology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), T-cell and B-cell Immunology (10 papers) and Protein purification and stability (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (759 citations), Immunology (424 citations) and Biotechnology (138 citations). Bernard de Geus has collaborated with scholars based in Netherlands, Serbia and United States. Frequent co-authors include Leon Frenken, Robin Ruuls, C. Theo Verrips, Michiel M. Harmsen, W Stok, Stephen W. Wilson, Paul J. Davis, J. Wil Bos, R. Jackson and Peter H. Pouwels. Their work appears in journals such as Applied Microbiology and Biotechnology, European Journal of Immunology and Journal of Investigative Dermatology.
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.