Berna Beverloo
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Multiple Myeloma Research and Treatments
-
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 15
- Chronic Myeloid Leukemia Treatments 6
- Multiple Myeloma Research and Treatments 6
- Acute Myeloid Leukemia Research 5
-
- Protein Degradation and Inhibitors 4
- DNA Repair Mechanisms 2
- Co-authors
- Roland Kanaar (2 shared papers)Jan H.J. Hoeijmakers (2 shared papers)Jeroen Essers (2 shared papers)Geert Weeda (1 shared paper)Jan de Wit (1 shared paper)Laura J. Niedernhofer (1 shared paper)Manja Muijtjens (1 shared paper)Hanny Odijk (1 shared paper)
- Journals
- Blood (10 papers)The EMBO Journal (2 papers)British Journal of Haematology (2 papers)Journal of Clinical Oncology (1 paper)Genes Chromosomes and Cancer (1 paper)
- Partner nations
- NetherlandsFranceBelgium
In The Last Decade
Berna Beverloo
18 papers receiving 390 citations
Peers
Comparison fields: 5 of 39
- Hematology 156
- Genetics 53
- Cancer Research 61
- Molecular Biology 259
- Oncology 82
Countries citing papers authored by Berna Beverloo
This map shows the geographic impact of Berna Beverloo'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 Berna Beverloo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berna Beverloo more than expected).
Fields of papers citing papers by Berna Beverloo
This network shows the impact of papers produced by Berna Beverloo. 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 Berna Beverloo. The network helps show where Berna Beverloo may publish in the future.
Co-authors
The 25 scholars most cited alongside Berna Beverloo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 138 | |
| 2 | 2013 | 67 | |
| 3 | 2000 | 59 | |
| 4 | 2004 | 53 | |
| 5 | 2007 | 48 | |
| 6 | 2008 | 7 | |
| 7 | 2001 | 6 | |
| 8 | 2007 | 4 | |
| 9 | 2018 | 4 | |
| 10 | 2015 | 3 | |
| 11 | 2014 | 2 | |
| 12 | 2006 | 2 | |
| 13 | 2004 | 2 | |
| 14 | Amplification of chromosome 11q23 involving the MLL gene is recurrently observed in myeloid leukemias. | 1998 | 1 |
| 15 | 2017 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2004 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2017 | 0 |
About Berna Beverloo
Berna Beverloo is a scholar working on Hematology, Molecular Biology, Public Health, Environmental and Occupational Health, Genetics and Oncology, having authored 19 papers that have together received 400 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (6 papers), Multiple Myeloma Research and Treatments (6 papers), Acute Myeloid Leukemia Research (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Protein Degradation and Inhibitors (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), DNA Repair Mechanisms (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Hematology (156 citations), Genetics (53 citations), Cancer Research (61 citations), Molecular Biology (259 citations) and Oncology (82 citations). Berna Beverloo has collaborated with scholars based in Netherlands, France and Belgium. Frequent co-authors include Roland Kanaar, Jan H.J. Hoeijmakers, Jeroen Essers, Geert Weeda, Jan de Wit, Laura J. Niedernhofer, Manja Muijtjens, Hanny Odijk, Gregor Verhoef and Pieter Sonneveld. Their work appears in journals such as Blood, The EMBO Journal, British Journal of Haematology, Journal of Clinical Oncology and Genes Chromosomes and Cancer.
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.