Sanne van Delft
- Molecular Biology top 5%
- Cell Biology top 1%
- Immunology and Allergy top 1%
- Oncology top 10%
- Immunology top 10%
- Co-authors
- John G. CollardRob A. van der KammenJean Paul ten KloosterTim ReidFrits MichielsMario A. VermeerVictor W.M. van HinsberghGeerten P. van Nieuw Amerongen
- Topics
- Protein Kinase Regulation and GTPase Signaling (5 papers)Clinical Laboratory Practices and Quality Control (4 papers)Antibiotic Use and Resistance (3 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Journal of Cell Biology
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Sanne van Delft
27 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.6k
- Cell Biology 1.1k
- Immunology and Allergy 552
- Oncology 261
- Immunology 233
Countries citing papers authored by Sanne van Delft
This map shows the geographic impact of Sanne van Delft'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 Sanne van Delft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanne van Delft more than expected).
Fields of papers citing papers by Sanne van Delft
This network shows the impact of papers produced by Sanne van Delft. 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 Sanne van Delft. The network helps show where Sanne van Delft may publish in the future.
Co-authorship network of co-authors of Sanne van Delft
This figure shows the co-authorship network connecting the top 25 collaborators of Sanne van Delft. A scholar is included among the top collaborators of Sanne van Delft 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 Sanne van Delft. Sanne van Delft is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 16 | |
| 4 | 22 | |
| 5 | 17 | |
| 6 | 16 | |
| 7 | 9 | |
| 8 | 26 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 23 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 38 | |
| 15 | 351 | |
| 16 | 189 | |
| 17 | Rac Downregulates Rho Activitybreakdown → | 739 |
| 18 | 2 | |
| 19 | 91 | |
| 20 | 30 |
About Sanne van Delft
Sanne van Delft is a scholar working on Applied Microbiology and Biotechnology, Immunology and Allergy and Statistics, Probability and Uncertainty, having authored 27 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Clinical Laboratory Practices and Quality Control (4 papers) and Antibiotic Use and Resistance (3 papers). The work is most often cited by research in Immunology and Allergy (552 citations), Cell Biology (1.1k citations) and Applied Microbiology and Biotechnology (60 citations). Sanne van Delft has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include John G. Collard, Rob A. van der Kammen, Jean Paul ten Klooster, Tim Reid, Frits Michiels, Mario A. Vermeer, Victor W.M. van Hinsbergh, Geerten P. van Nieuw Amerongen, Arie J. Verkleij and Frank N. van Leeuwen. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Cell Biology.
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.