Annemiek Broyl

3.2k total citations
30 papers, 1.3k citations indexed

About

Annemiek Broyl is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Annemiek Broyl has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Hematology, 21 papers in Molecular Biology and 15 papers in Oncology. Recurrent topics in Annemiek Broyl's work include Multiple Myeloma Research and Treatments (28 papers), Protein Degradation and Inhibitors (15 papers) and Ubiquitin and proteasome pathways (6 papers). Annemiek Broyl is often cited by papers focused on Multiple Myeloma Research and Treatments (28 papers), Protein Degradation and Inhibitors (15 papers) and Ubiquitin and proteasome pathways (6 papers). Annemiek Broyl collaborates with scholars based in Netherlands, United States and Germany. Annemiek Broyl's co-authors include Pieter Sonneveld, Mark van Duin, Bronno van der Holt, Hartmut Goldschmidt, Laila el Jarari, George Mulligan, Yvonne de Knegt, Henk M. Lokhorst, Rowan Kuiper and Uta Bertsch and has published in prestigious journals such as Blood, The Lancet Oncology and British Journal of Haematology.

In The Last Decade

Annemiek Broyl

27 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annemiek Broyl Netherlands 12 999 900 556 112 95 30 1.3k
Yi Hua Qiu United States 18 974 1.0× 633 0.7× 236 0.4× 164 1.5× 103 1.1× 38 1.4k
Laila el Jarari Netherlands 5 604 0.6× 605 0.7× 370 0.7× 51 0.5× 52 0.5× 8 775
Florence Magrangeas France 25 1.8k 1.8× 1.7k 1.9× 874 1.6× 304 2.7× 243 2.6× 73 2.5k
Wilfried Gouraud France 16 1.3k 1.3× 523 0.6× 714 1.3× 537 4.8× 112 1.2× 30 1.8k
Sabrina Giavara Italy 4 1.1k 1.1× 208 0.2× 826 1.5× 168 1.5× 59 0.6× 5 1.4k
Vernon T. Phan United States 12 583 0.6× 202 0.2× 252 0.5× 164 1.5× 39 0.4× 16 875
Iris Z. Uras Austria 14 481 0.5× 152 0.2× 240 0.4× 123 1.1× 68 0.7× 15 751
Jialiang Wang China 18 742 0.7× 173 0.2× 211 0.4× 166 1.5× 75 0.8× 29 950
Mika Kontro Finland 13 505 0.5× 423 0.5× 156 0.3× 142 1.3× 46 0.5× 53 903
Jay Gibbons United States 11 1.1k 1.1× 193 0.2× 358 0.6× 243 2.2× 148 1.6× 14 1.5k

Countries citing papers authored by Annemiek Broyl

Since Specialization
Citations

This map shows the geographic impact of Annemiek Broyl'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 Annemiek Broyl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annemiek Broyl more than expected).

Fields of papers citing papers by Annemiek Broyl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Annemiek Broyl. 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 Annemiek Broyl. The network helps show where Annemiek Broyl may publish in the future.

Co-authorship network of co-authors of Annemiek Broyl

This figure shows the co-authorship network connecting the top 25 collaborators of Annemiek Broyl. A scholar is included among the top collaborators of Annemiek Broyl 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 Annemiek Broyl. Annemiek Broyl 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.
Jong, Madelon M.E. de, Sabrin Tahri, Zoltán Kellermayer, et al.. (2021). High Levels of Circulating Tumor Cells Are Associated with Increased Bone Marrow Proliferation in Newly Diagnosed Multiple Myeloma Patients. Blood. 138(Supplement 1). 1566–1566. 2 indexed citations
2.
Sonneveld, Pieter, Sonja Zweegman, Michèle Cavo, et al.. (2018). Carfilzomib, Pomalidomide and Dexamethasone (KPd) in Patients with Multiple Myeloma Refractory to Bortezomib and Lenalidomide. the EMN011 Trial. Blood. 132(Supplement 1). 801–801. 23 indexed citations
3.
Zweegman, Sonja, Pieter Sonneveld, Bronno van der Holt, et al.. (2017). Ixazomib-Thalidomide-Low Dose Dexamethasone (ITd) Induction Followed By Maintenance Therapy with Ixazomib or Placebo in Newly Diagnosed Multiple Myeloma Patients Not Eligible for Autologous Stem Cell Transplantation; Initial Results from the Randomized Phase II HOVON-126/Nmsg 21.13 Trial. University of Southern Denmark Research Portal (University of Southern Denmark).
4.
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Malek, Ehsan, Sajjeev Jagannathan, Nikhil Vad, et al.. (2016). Pharmacogenomics and chemical library screens reveal a novel SCFSKP2 inhibitor that overcomes Bortezomib resistance in multiple myeloma. Leukemia. 31(3). 645–653. 48 indexed citations
6.
Amin, Samirkumar B., Stéphane Minvielle, Annemiek Broyl, et al.. (2014). Gene expression profile alone is inadequate in predicting complete response in multiple myeloma. Leukemia. 28(11). 2229–2234. 46 indexed citations
7.
Wu, Ping, Brian A. Walker, Annemiek Broyl, et al.. (2014). A gene expression based predictor for high risk myeloma treated with intensive therapy and autologous stem cell rescue. Leukemia & lymphoma. 56(3). 594–601. 5 indexed citations
8.
Devillier, Raynier, Jurjen Versluis, Bronno van der Holt, et al.. (2014). The Impact of Allogeneic Stem Cell Transplantation As Part of First Line Treatment on Outcome of Patients with Multiple Myeloma Depends on the Method of Analysis. Blood. 124(21). 1209–1209. 1 indexed citations
9.
Hofland, Johannes, et al.. (2013). Blastic plasmacytoid dendritic cell neoplasm. British Journal of Haematology. 164(6). 757–757. 2 indexed citations
10.
Broyl, Annemiek. (2012). Molecular profiling in multiple myeloma. Data Archiving and Networked Services (DANS). 6(5). 16–9. 1 indexed citations
11.
Kuiper, Rowan, Annemiek Broyl, Yvonne de Knegt, et al.. (2012). A gene expression signature for high-risk multiple myeloma. Leukemia. 26(11). 2406–2413. 198 indexed citations
12.
Broyl, Annemiek, Joost L.M. Jongen, & Pieter Sonneveld. (2012). General Aspects and Mechanisms of Peripheral Neuropathy Associated With Bortezomib in Patients With Newly Diagnosed Multiple Myeloma. Seminars in Hematology. 49(3). 249–257. 22 indexed citations
13.
Broyl, Annemiek, Rowan Kuiper, Mark van Duin, et al.. (2012). Relation Between Cereblon Expression and Survival in Patients with Newly Diagnosed Multiple Myeloma Treated with Thalidomide. Blood. 120(21). 3973–3973.
14.
Broyl, Annemiek, Rowan Kuiper, Mark van Duin, et al.. (2012). High cereblon expression is associated with better survival in patients with newly diagnosed multiple myeloma treated with thalidomide maintenance. Blood. 121(4). 624–627. 102 indexed citations
15.
Duin, Mark van, Annemiek Broyl, Yvonne de Knegt, et al.. (2011). Cancer testis antigens in newly diagnosed and relapse multiple myeloma: prognostic markers and potential targets for immunotherapy. Haematologica. 96(11). 1662–1669. 52 indexed citations
16.
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Broyl, Annemiek, Sophie L. Corthals, Joost L.M. Jongen, et al.. (2010). Mechanisms of peripheral neuropathy associated with bortezomib and vincristine in patients with newly diagnosed multiple myeloma: a prospective analysis of data from the HOVON-65/GMMG-HD4 trial. The Lancet Oncology. 11(11). 1057–1065. 173 indexed citations
18.
Broyl, Annemiek, Dirk Hose, Henk M. Lokhorst, et al.. (2010). Gene expression profiling for molecular classification of multiple myeloma in newly diagnosed patients. Blood. 116(14). 2543–2553. 223 indexed citations
19.
Corthals, Sophie L., Su Ming Sun, Rowan Kuiper, et al.. (2010). MicroRNA Profiling In Multiple Myeloma. Blood. 116(21). 302–302. 1 indexed citations
20.

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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