Yvette van Kooyk
- Immunology top 0.02%
- Molecular Biology top 0.2%
- Immunology and Allergy top 0.05%
- Virology top 0.1%
- Epidemiology top 0.5%
- Co-authors
- Teunis B. H. GeijtenbeekCarl G. FigdorSandra J. van VlietJuan J. García‐VallejoGerard C.F. van DuijnhovenGosse J. AdemaGabriel A. RabinovichAnneke Engering
- Topics
- Immunotherapy and Immune Responses (196 papers)T-cell and B-cell Immunology (82 papers)Immune Cell Function and Interaction (73 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Yvette van Kooyk
319 papers receiving 28.6k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Immunology 17.6k
- Molecular Biology 10.7k
- Immunology and Allergy 3.4k
- Virology 3.1k
- Epidemiology 2.9k
Countries citing papers authored by Yvette van Kooyk
This map shows the geographic impact of Yvette van Kooyk'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 Yvette van Kooyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yvette van Kooyk more than expected).
Fields of papers citing papers by Yvette van Kooyk
This network shows the impact of papers produced by Yvette van Kooyk. 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 Yvette van Kooyk. The network helps show where Yvette van Kooyk may publish in the future.
Co-authorship network of co-authors of Yvette van Kooyk
This figure shows the co-authorship network connecting the top 25 collaborators of Yvette van Kooyk. A scholar is included among the top collaborators of Yvette van Kooyk 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 Yvette van Kooyk. Yvette van Kooyk 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 | 2 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 19 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 19 | |
| 11 | 4 | |
| 12 | 44 | |
| 13 | 88 | |
| 14 | 32 | |
| 15 | 240 | |
| 16 | 60 | |
| 17 | 27 | |
| 18 | Antibodies to the beta 2-integrins LFA-1 and Mac-1 synergistically enhance stem cell mobilization induced by G-CSF | 1 |
| 19 | Constitutive up-regulation of integrin-mediated adhesion of tumor-infiltrating lymphocytes to osteoblasts and bone marrow-derived stromal cells. | 34 |
| 20 | No expression of LFA-1 on murine hematopoietic progenitor cells with colony-forming or radioprotective capacity | 3 |
About Yvette van Kooyk
Yvette van Kooyk is a scholar working on Immunology, Immunology and Allergy and Virology, having authored 324 papers that have together received 29.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (196 papers), T-cell and B-cell Immunology (82 papers) and Immune Cell Function and Interaction (73 papers). The work is most often cited by research in Immunology (17.6k citations), Virology (3.1k citations) and Immunology and Allergy (3.4k citations). Yvette van Kooyk has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Teunis B. H. Geijtenbeek, Carl G. Figdor, Sandra J. van Vliet, Juan J. García‐Vallejo, Gerard C.F. van Duijnhoven, Gosse J. Adema, Gabriel A. Rabinovich, Anneke Engering, Ruurd Torensma and Ben J. Appelmelk. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.