Berna Beverloo

1.3k total citations
21 papers, 444 citations indexed

About

Berna Beverloo is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Berna Beverloo has authored 21 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 7 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Berna Beverloo's work include Acute Myeloid Leukemia Research (6 papers), Multiple Myeloma Research and Treatments (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). Berna Beverloo is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Multiple Myeloma Research and Treatments (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). Berna Beverloo collaborates with scholars based in Netherlands, Italy and Germany. Berna Beverloo's co-authors include Bertil Johansson, Oskar A. Haas, Erik Forestier, K Michalová, Batia Stark, Christopher A. French, Andrea Pession, Christine J. Harrison, Michael A. den Bakker and Laura A. Johnson and has published in prestigious journals such as Blood, Cancer Research and Ophthalmology.

In The Last Decade

Berna Beverloo

19 papers receiving 436 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Berna Beverloo Netherlands 11 237 149 95 94 81 21 444
Gordon W. Dewald United States 13 317 1.3× 301 2.0× 89 0.9× 35 0.4× 20 0.2× 18 683
Jacqueline R. Batanian United States 15 206 0.9× 113 0.8× 82 0.9× 42 0.4× 61 0.8× 56 568
Cristina Robledo Spain 13 132 0.6× 174 1.2× 81 0.9× 26 0.3× 19 0.2× 27 399
N Bown United Kingdom 10 275 1.2× 219 1.5× 111 1.2× 122 1.3× 21 0.3× 18 558
BH Kushner United States 10 267 1.1× 72 0.5× 155 1.6× 24 0.3× 31 0.4× 14 608
DL Chen United States 4 316 1.3× 57 0.4× 358 3.8× 64 0.7× 32 0.4× 7 498
Angela Douglas United Kingdom 8 135 0.6× 111 0.7× 118 1.2× 69 0.7× 8 0.1× 10 483
Tarja Niini Finland 10 323 1.4× 114 0.8× 102 1.1× 74 0.8× 20 0.2× 15 567
Guillaume Sarrabay France 13 353 1.5× 79 0.5× 28 0.3× 13 0.1× 69 0.9× 32 558
Anna Llort Spain 10 161 0.7× 58 0.4× 139 1.5× 39 0.4× 20 0.2× 19 449

Countries citing papers authored by Berna Beverloo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Berna Beverloo

This figure shows the co-authorship network connecting the top 25 collaborators of Berna Beverloo. A scholar is included among the top collaborators of Berna Beverloo 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 Berna Beverloo. Berna Beverloo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Poppelen, Natasha M. van, Anja Wagner, Geert Geeven, et al.. (2024). Evaluation of Circulating Tumor DNA as a Liquid Biomarker in Uveal Melanoma. Investigative Ophthalmology & Visual Science. 65(2). 11–11. 8 indexed citations
3.
Kuijpers, Taco W., Andrica C. H. de Vries, Ester M. van Leeuwen, et al.. (2022). Megalobastic anemia, infantile leukemia, and immunodeficiency caused by a novel homozygous mutation in the DHFR gene. Blood Advances. 6(22). 5829–5834. 2 indexed citations
4.
Pieters, Rob, Hester A. de Groot‐Kruseman, Edwin Sonneveld, et al.. (2022). Dutch ALL11 Study: Improved Outcome for Acute Lymphoblastic Leukemia By Prolonging Therapy for IKZF1 Deletion and Decreasing Therapy for ETV6::RUNX1, Down Syndrome and Prednisone Poor Responders. Blood. 140(Supplement 1). 519–520. 2 indexed citations
5.
Bruinink, Davine Hofste op, Rowan Kuiper, Mark van Duin, et al.. (2022). Combining Plasma Cell Leukemia-like Status with the Second Revision of the International Staging System Improves Risk Classification. Blood. 140(Supplement 1). 1566–1567. 1 indexed citations
8.
Yavuzyiğitoğlu, Serdar, Kyra N. Smit, Anna E. Koopmans, et al.. (2016). Correlation of Gene Mutation Status with Copy Number Profile in Uveal Melanoma. Ophthalmology. 124(4). 573–575. 24 indexed citations
9.
Yavuzyiğitoğlu, Serdar, Hanneke W. Mensink, Kyra N. Smit, et al.. (2016). Metastatic Disease in Polyploid Uveal Melanoma Patients Is Associated WithBAP1Mutations. Investigative Ophthalmology & Visual Science. 57(4). 2232–2232. 14 indexed citations
10.
Crescenzi, Barbara, Gianluca Barba, Caterina Matteucci, et al.. (2015). NUP98/11p15 translocations affect CD34+ cells in myeloid and T lymphoid leukemias. Leukemia Research. 39(7). 769–772. 10 indexed citations
11.
Bakker, Michael A. den, Berna Beverloo, Marry M. van den Heuvel‐Eibrink, et al.. (2009). NUT Midline Carcinoma of the Parotid Gland With Mesenchymal Differentiation. The American Journal of Surgical Pathology. 33(8). 1253–1258. 79 indexed citations
12.
Franken, Patrick, Wendy van Veelen, Lau Blonden, et al.. (2008). Generation of a tightly regulated doxycycline‐inducible model for studying mouse intestinal biology. genesis. 47(1). 7–13. 20 indexed citations
13.
Kılıç, Emine, Hennie T. Brüggenwirth, Jolanda Vaarwater, et al.. (2008). Regional deletion and amplification on chromosome 6 in a uveal melanoma case without abnormalities on chromosomes 1p, 3 and 8. Melanoma Research. 18(1). 10–15. 15 indexed citations
14.
Velden, Vincent van der, Berna Beverloo, Jacques J. M. van Dongen, et al.. (2008). Chromosome 14 Copy Number-Dependent IGH Gene Rearrangement Patterns in High Hyperdiploid Childhood B Cell Precursor ALL: Implications for Leukemia Biology and Minimal Residual Disease Analysis.. Blood. 112(11). 1517–1517. 1 indexed citations
15.
Balgobind, Brian V., Marry M. van den Heuvel‐Eibrink, Renée X. de Menezes, et al.. (2008). Identification of Gene Expression Signatures Accurately Predicting Cytogenetic Subtypes in Pediatric Acute Myeloid Leukemia.. Blood. 112(11). 1509–1509. 2 indexed citations
16.
Boonstra, Jurjen J., Ronald van Marion, Yuiko Morita‐Fujimura, et al.. (2007). Mistaken Identity of Widely Used Esophageal Adenocarcinoma Cell Line TE-7. Cancer Research. 67(17). 7996–8001. 41 indexed citations
17.
Bergh, Anne R. M. von, Ellen van Drunen, Elisabeth R. van Wering, et al.. (2005). High Incidence of t(7;12)(q36;p13) with Involvement of HLXB9 in Infant AML.. Blood. 106(11). 2364–2364. 1 indexed citations
18.
Roelofs, Helene, Marijke Mostert, Gaetano Zafarana, et al.. (2000). Restricted 12p Amplification and RAS Mutation in Human Germ Cell Tumors of the Adult Testis. American Journal Of Pathology. 157(4). 1155–1166. 82 indexed citations
19.
Michaux, Lucienne, Iwona Włodarska, Michel Stul, et al.. (2000). MLL amplification in myeloid leukemias: A study of 14 cases with multiple copies of 11q23. Genes Chromosomes and Cancer. 29(1). 40–47. 21 indexed citations
20.
Schröder, Martin, Martin Dreyling, Stefan K. Bohlander, et al.. (1995). CDKN2 gene deletion is not found in chronic lymphoid leukaemias of B‐ and T‐cell origin but is frequent in acute lymphoblastic leukaemia. British Journal of Haematology. 91(4). 865–870. 16 indexed citations

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.

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