Monique A.J. van Eijndhoven
- Molecular Biology top 5%
- Cancer Research top 1%
- Immunology top 10%
- Oncology
- Infectious Diseases top 10%
- Co-authors
- D. Michiel PegtelThomas WürdingerJaap M. MiddeldorpErik HopmansTanja D. de GruijlKatherine CosmopoulosDavid A. Thorley‐LawsonRenée X. de Menezes
- Topics
- Extracellular vesicles in disease (10 papers)MicroRNA in disease regulation (10 papers)Cancer-related molecular mechanisms research (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- NetherlandsSpainUnited States
In The Last Decade
Monique A.J. van Eijndhoven
13 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 2.3k
- Cancer Research 1.6k
- Immunology 272
- Oncology 223
- Infectious Diseases 191
Countries citing papers authored by Monique A.J. van Eijndhoven
This map shows the geographic impact of Monique A.J. van Eijndhoven'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 Monique A.J. van Eijndhoven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monique A.J. van Eijndhoven more than expected).
Fields of papers citing papers by Monique A.J. van Eijndhoven
This network shows the impact of papers produced by Monique A.J. van Eijndhoven. 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 Monique A.J. van Eijndhoven. The network helps show where Monique A.J. van Eijndhoven may publish in the future.
Co-authorship network of co-authors of Monique A.J. van Eijndhoven
This figure shows the co-authorship network connecting the top 25 collaborators of Monique A.J. van Eijndhoven. A scholar is included among the top collaborators of Monique A.J. van Eijndhoven 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 Monique A.J. van Eijndhoven. Monique A.J. van Eijndhoven 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 | 7 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 24 | |
| 8 | 10 | |
| 9 | 129 | |
| 10 | Nontemplated Nucleotide Additions Distinguish the Small RNA Composition in Cells from Exosomesbreakdown → | 457 |
| 11 | 436 | |
| 12 | 37 | |
| 13 | 190 | |
| 14 | Functional delivery of viral miRNAs via exosomesbreakdown → | 1330 |
About Monique A.J. van Eijndhoven
Monique A.J. van Eijndhoven is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine, having authored 14 papers that have together received 2.6k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (10 papers), MicroRNA in disease regulation (10 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (2.3k citations) and Immunology (272 citations). Monique A.J. van Eijndhoven has collaborated with scholars based in Netherlands, Spain and United States. Frequent co-authors include D. Michiel Pegtel, Thomas Würdinger, Jaap M. Middeldorp, Erik Hopmans, Tanja D. de Gruijl, Katherine Cosmopoulos, David A. Thorley‐Lawson, Renée X. de Menezes, Danijela Koppers‐Lalic and Bas W. M. van Balkom. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.