Marit J. van Gils
- Virology top 0.2%
- Infectious Diseases top 1%
- Immunology top 2%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 1%
- Co-authors
- Rogier W. SandersAndrew B. WardIan A. WilsonJohn P. MooreHanneke SchuitemakerDennis R. BurtonJean‐Philippe JulienAlbert Cupo
- Topics
- HIV Research and Treatment (57 papers)SARS-CoV-2 and COVID-19 Research (36 papers)Monoclonal and Polyclonal Antibodies Research (35 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Marit J. van Gils
119 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Virology 2.2k
- Infectious Diseases 1.5k
- Immunology 1.4k
- Molecular Biology 1.2k
- Radiology, Nuclear Medicine and Imaging 965
Countries citing papers authored by Marit J. van Gils
This map shows the geographic impact of Marit J. van Gils'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 Marit J. van Gils with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marit J. van Gils more than expected).
Fields of papers citing papers by Marit J. van Gils
This network shows the impact of papers produced by Marit J. van Gils. 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 Marit J. van Gils. The network helps show where Marit J. van Gils may publish in the future.
Co-authorship network of co-authors of Marit J. van Gils
This figure shows the co-authorship network connecting the top 25 collaborators of Marit J. van Gils. A scholar is included among the top collaborators of Marit J. van Gils 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 Marit J. van Gils. Marit J. van Gils is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 14 | |
| 12 | 11 | |
| 13 | 12 | |
| 14 | 17 | |
| 15 | Structural and functional ramifications of antigenic drift in recent SARS-CoV-2 variantsbreakdown → | 196 |
| 16 | 8 | |
| 17 | 67 | |
| 18 | 95 | |
| 19 | 3 | |
| 20 | 7 |
About Marit J. van Gils
Marit J. van Gils is a scholar working on Virology, Infectious Diseases and Immunology, having authored 123 papers that have together received 3.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (57 papers), SARS-CoV-2 and COVID-19 Research (36 papers) and Monoclonal and Polyclonal Antibodies Research (35 papers). The work is most often cited by research in Virology (2.2k citations), Infectious Diseases (1.5k citations) and Immunology (1.4k citations). Marit J. van Gils has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Rogier W. Sanders, Andrew B. Ward, Ian A. Wilson, John P. Moore, Hanneke Schuitemaker, Dennis R. Burton, Jean‐Philippe Julien, Albert Cupo, Terri Wrin and Zelda Euler. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.