Katrien Van Roosbroeck
- Molecular Biology top 10%
- Cancer Research top 2%
- Oncology top 10%
- Pathology and Forensic Medicine top 5%
- Genetics top 5%
- Co-authors
- George A. CălinRecep BayraktarJeroen PolletPeter VandenbergheIwona WłodarskaJan CoolsChris De Wolf‐PeetersDaan Dierickx
- Topics
- Chronic Lymphocytic Leukemia Research (9 papers)MicroRNA in disease regulation (9 papers)Lymphoma Diagnosis and Treatment (8 papers)
- Journals
- Nature GeneticsBloodPLoS ONE
- Partner nations
- United StatesBelgiumGermany
In The Last Decade
Katrien Van Roosbroeck
20 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 852
- Cancer Research 695
- Oncology 272
- Pathology and Forensic Medicine 242
- Genetics 176
Countries citing papers authored by Katrien Van Roosbroeck
This map shows the geographic impact of Katrien Van Roosbroeck'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 Katrien Van Roosbroeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katrien Van Roosbroeck more than expected).
Fields of papers citing papers by Katrien Van Roosbroeck
This network shows the impact of papers produced by Katrien Van Roosbroeck. 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 Katrien Van Roosbroeck. The network helps show where Katrien Van Roosbroeck may publish in the future.
Co-authorship network of co-authors of Katrien Van Roosbroeck
This figure shows the co-authorship network connecting the top 25 collaborators of Katrien Van Roosbroeck. A scholar is included among the top collaborators of Katrien Van Roosbroeck 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 Katrien Van Roosbroeck. Katrien Van Roosbroeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 16 | |
| 3 | 0 | |
| 4 | 129 | |
| 5 | 186 | |
| 6 | 268 | |
| 7 | 23 | |
| 8 | 26 | |
| 9 | 2 | |
| 10 | 51 | |
| 11 | 90 | |
| 12 | 118 | |
| 13 | 77 | |
| 14 | 66 | |
| 15 | 141 | |
| 16 | 1 | |
| 17 | 11 | |
| 18 | A novel t(4;9)(q21;p24) fuses SEC31A to JAK2 in nodular-sclerosis Hodgkin lymphoma | 2 |
| 19 | 76 | |
| 20 | New 9p24 abnormalities in hematological malignancies | 1 |
About Katrien Van Roosbroeck
Katrien Van Roosbroeck is a scholar working on Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), MicroRNA in disease regulation (9 papers) and Lymphoma Diagnosis and Treatment (8 papers). The work is most often cited by research in Cancer Research (695 citations), Genetics (176 citations) and Pathology and Forensic Medicine (242 citations). Katrien Van Roosbroeck has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include George A. Călin, Recep Bayraktar, Jeroen Pollet, Peter Vandenberghe, Iwona Włodarska, Jan Cools, Chris De Wolf‐Peeters, Daan Dierickx, Idoya Lahortiga and Gregor Verhoef. Their work appears in journals such as Nature Genetics, Blood and PLoS ONE.
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.