Raoul J. de Groot
- Infectious Diseases top 0.05%
- Animal Science and Zoology top 0.05%
- Molecular Biology top 5%
- Genetics top 1%
- Epidemiology top 2%
- Co-authors
- Stanley PerlmanLeo L. M. PoonChristian DrostenSusan C. BakerAlexander E. GorbalenyaJohn ZiebuhrRalph S. BaricBart L. Haagmans
- Topics
- Animal Virus Infections Studies (43 papers)Viral gastroenteritis research and epidemiology (41 papers)Virus-based gene therapy research (30 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Raoul J. de Groot
97 papers receiving 12.2k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Infectious Diseases 8.3k
- Animal Science and Zoology 3.5k
- Molecular Biology 2.5k
- Genetics 1.7k
- Epidemiology 1.5k
Countries citing papers authored by Raoul J. de Groot
This map shows the geographic impact of Raoul J. de Groot'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 Raoul J. de Groot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raoul J. de Groot more than expected).
Fields of papers citing papers by Raoul J. de Groot
This network shows the impact of papers produced by Raoul J. de Groot. 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 Raoul J. de Groot. The network helps show where Raoul J. de Groot may publish in the future.
Co-authorship network of co-authors of Raoul J. de Groot
This figure shows the co-authorship network connecting the top 25 collaborators of Raoul J. de Groot. A scholar is included among the top collaborators of Raoul J. de Groot 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 Raoul J. de Groot. Raoul J. de Groot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 37 | |
| 3 | 20 | |
| 4 | 38 | |
| 5 | 24 | |
| 6 | 57 | |
| 7 | 30 | |
| 8 | 33 | |
| 9 | 160 | |
| 10 | 146 | |
| 11 | 101 | |
| 12 | 45 | |
| 13 | 104 | |
| 14 | 40 | |
| 15 | 123 | |
| 16 | 7 | |
| 17 | Polymerase chain reaction (PCR) for the diagnosis of naturally occurring feline coronavirus infections | 6 |
| 18 | 97 | |
| 19 | 63 | |
| 20 | 3 |
About Raoul J. de Groot
Raoul J. de Groot is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics, having authored 97 papers that have together received 12.5k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (43 papers), Viral gastroenteritis research and epidemiology (41 papers) and Virus-based gene therapy research (30 papers). The work is most often cited by research in Infectious Diseases (8.3k citations), Animal Science and Zoology (3.5k citations) and Modeling and Simulation (682 citations). Raoul J. de Groot has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Stanley Perlman, Leo L. M. Poon, Christian Drosten, Susan C. Baker, Alexander E. Gorbalenya, John Ziebuhr, Ralph S. Baric, Bart L. Haagmans, Isabel Sola and Peter J. M. Rottier. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.