Victor Peperzak

2.8k total citations
42 papers, 2.1k citations indexed

About

Victor Peperzak is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Victor Peperzak has authored 42 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 13 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Victor Peperzak's work include Immunotherapy and Immune Responses (15 papers), Immune Cell Function and Interaction (14 papers) and T-cell and B-cell Immunology (13 papers). Victor Peperzak is often cited by papers focused on Immunotherapy and Immune Responses (15 papers), Immune Cell Function and Interaction (14 papers) and T-cell and B-cell Immunology (13 papers). Victor Peperzak collaborates with scholars based in Netherlands, Australia and United States. Victor Peperzak's co-authors include Jannie Borst, Yanling Xiao, David M. Tarlinton, Elise A. M. Veraar, Ingela B. Vikstrom, Scott Roberts, Daniel J. Pennington, Michael Girardi, Ana deBarros and Adrian Hayday and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Victor Peperzak

41 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victor Peperzak Netherlands 21 1.4k 699 486 316 137 42 2.1k
Birgit Knoechel United States 20 1.1k 0.8× 557 0.8× 384 0.8× 266 0.8× 106 0.8× 31 2.0k
Robbert van der Voort Netherlands 28 1.4k 1.0× 658 0.9× 1.1k 2.2× 281 0.9× 170 1.2× 43 2.4k
Stefan Wirths Germany 17 1.2k 0.9× 601 0.9× 575 1.2× 219 0.7× 80 0.6× 55 1.6k
Loren D. Erickson United States 26 1.7k 1.3× 514 0.7× 472 1.0× 360 1.1× 120 0.9× 41 2.5k
Martin Guimond United States 23 1.2k 0.9× 593 0.8× 465 1.0× 642 2.0× 67 0.5× 43 2.0k
Aude Magérus France 16 843 0.6× 444 0.6× 532 1.1× 306 1.0× 52 0.4× 30 1.5k
Julia I. Ellyard Australia 17 2.2k 1.6× 474 0.7× 468 1.0× 147 0.5× 151 1.1× 28 2.8k
Laura Chiossone France 19 2.4k 1.8× 674 1.0× 854 1.8× 266 0.8× 73 0.5× 30 3.2k
Guitta Maki France 19 1.6k 1.2× 412 0.6× 1.2k 2.4× 308 1.0× 167 1.2× 24 2.3k
Tessa Kerre Belgium 26 940 0.7× 670 1.0× 769 1.6× 427 1.4× 51 0.4× 112 2.1k

Countries citing papers authored by Victor Peperzak

Since Specialization
Citations

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

Fields of papers citing papers by Victor Peperzak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Peperzak

This figure shows the co-authorship network connecting the top 25 collaborators of Victor Peperzak. A scholar is included among the top collaborators of Victor Peperzak 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 Victor Peperzak. Victor Peperzak 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.
Cuenca, Marta, et al.. (2023). Identifying clinical response to daratumumab therapy in relapsed/refractory multiple myeloma using a patient‐derived in vitro model. SHILAP Revista de lepidopterología. 5(1). 141–146. 1 indexed citations
2.
Slomp, Anne, Anne W. J. Martens, Shuang Li, et al.. (2023). Serpin B9 controls tumor cell killing by CAR T cells. Journal for ImmunoTherapy of Cancer. 11(3). e006364–e006364. 16 indexed citations
3.
Rockx-Brouwer, Dedeke, et al.. (2022). Wnt inhibitors reduce the unfolded protein response and enhance bortezomib-induced cell death in multiple myeloma. Blood Advances. 7(7). 1103–1107. 2 indexed citations
4.
Stolpe, Anja van de, et al.. (2021). Multiple Myeloma Relapse Is Associated with Increased NFκB Pathway Activity and Upregulation of the Pro-Survival BCL-2 Protein BFL-1. Cancers. 13(18). 4668–4668. 6 indexed citations
5.
Longoni, Alessia, Mattie H.P. van Rijen, Victor Peperzak, et al.. (2020). Endochondral Bone Regeneration by Non-autologous Mesenchymal Stem Cells. Frontiers in Bioengineering and Biotechnology. 8. 651–651. 16 indexed citations
6.
Slomp, Anne, Jianan Gong, Marta Cuenca, et al.. (2019). Multiple myeloma with 1q21 amplification is highly sensitive to MCL-1 targeting. Blood Advances. 3(24). 4202–4214. 62 indexed citations
7.
Raymakers, Reinier, et al.. (2018). Wnt signaling in multiple myeloma: a central player in disease with therapeutic potential. Journal of Hematology & Oncology. 11(1). 67–67. 83 indexed citations
8.
Slomp, Anne & Victor Peperzak. (2018). Role and Regulation of Pro-survival BCL-2 Proteins in Multiple Myeloma. Frontiers in Oncology. 8. 533–533. 58 indexed citations
9.
Ottina, Eleonora, Victor Peperzak, Emma M. Carrington, et al.. (2017). DNA-binding of the Tet-transactivator curtails antigen-induced lymphocyte activation in mice. Nature Communications. 8(1). 1028–1028. 6 indexed citations
10.
Pietro, Andrea Di, Inge O. Baas, Kristy O’Donnell, et al.. (2017). c-Myb Regulates the T-Bet-Dependent Differentiation Program in B Cells to Coordinate Antibody Responses. Cell Reports. 19(3). 461–470. 43 indexed citations
11.
Eldering, Eric, et al.. (2016). Bcl-2 Members As Drug Target and Biomarkers for Response to Ibrutinib and Venetoclax in CLL. Blood. 128(22). 2043–2043. 2 indexed citations
12.
Peperzak, Victor, Ingela B. Vikstrom, Jennifer A. Walker, et al.. (2013). Mcl-1 is essential for the survival of plasma cells. Nature Immunology. 14(3). 290–297. 246 indexed citations
13.
Peperzak, Victor, Ingela B. Vikstrom, & David M. Tarlinton. (2012). Through a glass less darkly: apoptosis and the germinal center response to antigen. Immunological Reviews. 247(1). 93–106. 19 indexed citations
14.
Vikstrom, Ingela B., Sebastian Carotta, Katja Lüthje, et al.. (2010). Mcl-1 Is Essential for Germinal Center Formation and B Cell Memory. Science. 330(6007). 1095–1099. 176 indexed citations
15.
Ribot, Julie C., Ana deBarros, Dick John Pang, et al.. (2009). CD27 is a thymic determinant of the balance between interferon-γ- and interleukin 17–producing γδ T cell subsets. Nature Immunology. 10(4). 427–436. 491 indexed citations
16.
Middendorp, Sabine, Yanling Xiao, Ji‐Ying Song, et al.. (2009). Mice deficient for CD137 ligand are predisposed to develop germinal center–derived B-cell lymphoma. Blood. 114(11). 2280–2289. 32 indexed citations
17.
Peperzak, Victor, Yanling Xiao, Elise A. M. Veraar, & Jannie Borst. (2009). CD27 sustains survival of CTLs in virus-infected nonlymphoid tissue in mice by inducing autocrine IL-2 production. Journal of Clinical Investigation. 120(1). 168–178. 94 indexed citations
18.
Xiao, Yanling, Victor Peperzak, Anna M. Keller, & Jannie Borst. (2008). CD27 Instructs CD4+ T Cells to Provide Help for the Memory CD8+ T Cell Response after Protein Immunization. The Journal of Immunology. 181(2). 1071–1082. 66 indexed citations
19.
Kim, You‐Me, Jennifer Pan, Gregory A. Korbel, et al.. (2006). Monovalent ligation of the B cell receptor induces receptor activation but fails to promote antigen presentation. Proceedings of the National Academy of Sciences. 103(9). 3327–3332. 98 indexed citations
20.
Boes, Marianne, Nicole N. van der Wel, Victor Peperzak, et al.. (2005). In vivo control of endosomal architecture by class II‐associated invariant chain and cathepsin S. European Journal of Immunology. 35(9). 2552–2562. 20 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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