Marije Oosting
- Immunology top 0.5%
- Molecular Biology top 2%
- Infectious Diseases top 0.5%
- Epidemiology top 2%
- Genetics top 2%
- Co-authors
- Leo A. B. JoostenMihai G. NeteaCisca WijmengaReinout van CrevelRamnik J. XavierAlexandra ZhernakovaJ.W.M. van der MeerJohanneke Kleinnijenhuis
- Topics
- Vector-borne infectious diseases (19 papers)Viral Infections and Vectors (12 papers)Antifungal resistance and susceptibility (12 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Marije Oosting
75 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Immunology 3.1k
- Molecular Biology 2.8k
- Infectious Diseases 1.9k
- Epidemiology 1.4k
- Genetics 762
Countries citing papers authored by Marije Oosting
This map shows the geographic impact of Marije Oosting'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 Marije Oosting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marije Oosting more than expected).
Fields of papers citing papers by Marije Oosting
This network shows the impact of papers produced by Marije Oosting. 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 Marije Oosting. The network helps show where Marije Oosting may publish in the future.
Co-authorship network of co-authors of Marije Oosting
This figure shows the co-authorship network connecting the top 25 collaborators of Marije Oosting. A scholar is included among the top collaborators of Marije Oosting 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 Marije Oosting. Marije Oosting is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 13 | |
| 5 | 86 | |
| 6 | BCG Vaccination Protects against Experimental Viral Infection in Humans through the Induction of Cytokines Associated with Trained Immunitybreakdown → | 800 |
| 7 | 19 | |
| 8 | Immunometabolic Pathways in BCG-Induced Trained Immunitybreakdown → | 476 |
| 9 | 41 | |
| 10 | 14 | |
| 11 | 223 | |
| 12 | 17 | |
| 13 | 180 | |
| 14 | 35 | |
| 15 | 34 | |
| 16 | 43 | |
| 17 | 92 | |
| 18 | 46 | |
| 19 | 127 | |
| 20 | 59 |
About Marije Oosting
Marije Oosting is a scholar working on Parasitology, Infectious Diseases and Immunology, having authored 75 papers that have together received 7.2k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (19 papers), Viral Infections and Vectors (12 papers) and Antifungal resistance and susceptibility (12 papers). The work is most often cited by research in Immunology (3.1k citations), Infectious Diseases (1.9k citations) and Biological Psychiatry (202 citations). Marije Oosting has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Leo A. B. Joosten, Mihai G. Netea, Cisca Wijmenga, Reinout van Crevel, Ramnik J. Xavier, Alexandra Zhernakova, J.W.M. van der Meer, Johanneke Kleinnijenhuis, Jingyuan Fu and Alexander Kurilshikov. Their work appears in journals such as Cell, 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.