Marlous Hoogstraat
- Oncology top 5%
- Molecular Biology
- Cancer Research top 5%
- Genetics top 10%
- Immunology
- Co-authors
- Edwin CuppenEmile E. VoestMarco J. KoudijsDaniel S. PeeperOscar KrijgsmanThomas KuilmanNicolle BesselinkHans Clevers
- Topics
- Cancer Genomics and Diagnostics (13 papers)Breast Cancer Treatment Studies (5 papers)Genomic variations and chromosomal abnormalities (3 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Marlous Hoogstraat
25 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 87
- Oncology 671
- Molecular Biology 638
- Cancer Research 520
- Genetics 228
- Immunology 211
Countries citing papers authored by Marlous Hoogstraat
This map shows the geographic impact of Marlous Hoogstraat'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 Marlous Hoogstraat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marlous Hoogstraat more than expected).
Fields of papers citing papers by Marlous Hoogstraat
This network shows the impact of papers produced by Marlous Hoogstraat. 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 Marlous Hoogstraat. The network helps show where Marlous Hoogstraat may publish in the future.
Co-authorship network of co-authors of Marlous Hoogstraat
This figure shows the co-authorship network connecting the top 25 collaborators of Marlous Hoogstraat. A scholar is included among the top collaborators of Marlous Hoogstraat 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 Marlous Hoogstraat. Marlous Hoogstraat 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 | 23 | |
| 3 | 20 | |
| 4 | 6 | |
| 5 | 16 | |
| 6 | 5 | |
| 7 | 85 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 56 | |
| 11 | Effective Therapeutic Intervention and Comprehensive Genetic Analysis of mTOR Signaling in PEComa : A Case Report | 1 |
| 12 | Effective Therapeutic Intervention and Comprehensive Genetic Analysis of mTOR Signaling in PEComa: A Case Report. | 3 |
| 13 | 349 | |
| 14 | 53 | |
| 15 | 27 | |
| 16 | 324 | |
| 17 | 63 | |
| 18 | 95 | |
| 19 | 10 | |
| 20 | 161 |
About Marlous Hoogstraat
Marlous Hoogstraat is a scholar working on Cancer Research, Oncology and Reproductive Medicine, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (13 papers), Breast Cancer Treatment Studies (5 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Cancer Research (520 citations), Oncology (671 citations) and Reproductive Medicine (139 citations). Marlous Hoogstraat has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Edwin Cuppen, Emile E. Voest, Marco J. Koudijs, Daniel S. Peeper, Oscar Krijgsman, Thomas Kuilman, Nicolle Besselink, Hans Clevers, Krijn K. Dijkstra and Daphne van der Velden. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.