Arno Velds

9.3k total citations · 4 hit papers
53 papers, 6.8k citations indexed

About

Arno Velds is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Arno Velds has authored 53 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 13 papers in Oncology and 13 papers in Genetics. Recurrent topics in Arno Velds's work include DNA Repair Mechanisms (8 papers), Cancer Genomics and Diagnostics (8 papers) and Genomics and Chromatin Dynamics (7 papers). Arno Velds is often cited by papers focused on DNA Repair Mechanisms (8 papers), Cancer Genomics and Diagnostics (8 papers) and Genomics and Chromatin Dynamics (7 papers). Arno Velds collaborates with scholars based in Netherlands, United States and Germany. Arno Velds's co-authors include Thijn R. Brummelkamp, René Bernards, Ron Kerkhoven, Sebastian Nijman, Annette M.G. Dirac, Titia K. Sixma, Mark P.A. Luna‐Vargas, Ton N. Schumacher, Marja Nieuwland and Roderick L. Beijersbergen and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Arno Velds

51 papers receiving 6.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Genomic and Functional Inventory of Deubiquitinating Enzymes

2005 1.5k citations Sebastian Nijman, Mark P.A. Luna‐Vargas et al. Cell profile →
A large-scale RNAi screen in human cells identifies new components of the p53 pathway

2004 850 citations Katrien Berns, E. Marielle Hijmans et al. Nature Cell Biology profile →
Tumor Exome Analysis Reveals Neoantigen-Specific T-Cell Reactivity in an Ipilimumab-Responsive Melanoma

2013 624 citations Nienke van Rooij, Arno Velds et al. profile →
High-throughput epitope discovery reveals frequent recognition of neo-antigens by CD4+ T cells in human melanoma

2014 527 citations Arno Velds, Ton N. Schumacher et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arno Velds Netherlands	28	4.4k	2.7k	1.5k	1.1k	913	53	6.8k
Ronald J. Buckanovich United States	49	3.7k 0.9×	3.5k 1.3×	1.7k 1.1×	1.3k 1.2×	539 0.6×	123	7.2k
David T. Weaver United States	49	6.5k 1.5×	2.6k 1.0×	1.4k 0.9×	1.3k 1.2×	865 0.9×	150	9.0k
Michael J. Difilippantonio United States	33	3.4k 0.8×	1.4k 0.5×	1.4k 0.9×	1.1k 1.0×	775 0.8×	61	5.5k
Sandra Oršulić United States	40	3.8k 0.9×	2.3k 0.8×	1.6k 1.1×	1.2k 1.1×	609 0.7×	95	6.8k
Roger A. Greenberg United States	51	7.9k 1.8×	2.6k 0.9×	1.2k 0.8×	1.3k 1.2×	1.2k 1.4×	98	10.3k
Paule Opolon France	44	3.5k 0.8×	1.5k 0.6×	1.1k 0.7×	1.3k 1.1×	1.3k 1.4×	159	6.6k
Hartmut Koeppen United States	30	3.5k 0.8×	3.0k 1.1×	1.9k 1.2×	992 0.9×	410 0.4×	62	6.4k
Tsukasa Shibue United States	20	4.6k 1.1×	3.6k 1.3×	1.1k 0.7×	1.7k 1.5×	413 0.5×	28	7.2k
Takumi Kamura Japan	36	5.6k 1.3×	2.5k 0.9×	790 0.5×	1.5k 1.4×	965 1.1×	85	7.3k
Matthias Dobbelstein Germany	44	4.7k 1.1×	2.7k 1.0×	515 0.3×	1.3k 1.1×	996 1.1×	129	6.1k

Countries citing papers authored by Arno Velds

Since Specialization

Citations

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

Fields of papers citing papers by Arno Velds

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arno Velds

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

All Works

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20 of 20 papers shown

Dias, Matheus Henrique, Julien Champagne, Onno B. Bleijerveld, et al.. (2024). The phosphatase inhibitor LB-100 creates neoantigens in colon cancer cells through perturbation of mRNA splicing. EMBO Reports. 25(5). 2220–2238. 11 indexed citations

Urbanus, Jos, Jason Cosgrove, Joost B. Beltman, et al.. (2023). DRAG in situ barcoding reveals an increased number of HSPCs contributing to myelopoiesis with age. Nature Communications. 14(1). 2184–2184. 11 indexed citations

Pogacar, Ziva, Jackie Johnson, Lenno Krenning, et al.. (2022). Indisulam synergizes with palbociclib to induce senescence through inhibition of CDK2 kinase activity. PLoS ONE. 17(9). e0273182–e0273182. 12 indexed citations

Pogacar, Ziva, Fleur Jochems, Antonio Mulero‐Sánchez, et al.. (2022). Genetic and compound screens uncover factors modulating cancer cell response to indisulam. Life Science Alliance. 5(9). e202101348–e202101348. 8 indexed citations

Maia, Ana, Simon Linder, Ji‐Ying Song, et al.. (2018). Mps1 inhibitors synergise with low doses of taxanes in promoting tumour cell death by enhancement of errors in cell division. British Journal of Cancer. 118(12). 1586–1595. 33 indexed citations

Duarte, Alexandra A., Ewa Gogola, Norman Sachs, et al.. (2017). BRCA-deficient mouse mammary tumor organoids to study cancer-drug resistance. Nature Methods. 15(2). 134–140. 98 indexed citations

Beltman, Joost B., Jos Urbanus, Arno Velds, et al.. (2016). Reproducibility of Illumina platform deep sequencing errors allows accurate determination of DNA barcodes in cells. BMC Bioinformatics. 17(1). 151–151. 12 indexed citations

Semenova, Ekaterina A., Min‐Chul Kwon, Kim Monkhorst, et al.. (2016). Transcription Factor NFIB Is a Driver of Small Cell Lung Cancer Progression in Mice and Marks Metastatic Disease in Patients. Cell Reports. 16(3). 631–643. 106 indexed citations

Jansen, Maurice P.H.M., Theo Knijnenburg, Iris Simón, et al.. (2013). Hallmarks of Aromatase Inhibitor Drug Resistance Revealed by Epigenetic Profiling in Breast Cancer. Cancer Research. 73(22). 6632–6641. 57 indexed citations

10.

Gerlach, Carmen, Jan Rohr, Leïla Perié, et al.. (2013). Heterogeneous Differentiation Patterns of Individual CD8 ⁺ T Cells. Science. 340(6132). 635–639. 269 indexed citations

11.

Luenen, Henri G.A.M. van, Paul-André Genest, Pankaj Tripathi, et al.. (2012). Glucosylated Hydroxymethyluracil, DNA Base J, Prevents Transcriptional Readthrough in Leishmania. Cell. 150(5). 909–921. 119 indexed citations

12.

Huitink, Johannes M., Marja Nieuwland, Stephan A. Loer, et al.. (2010). Volatile Anesthetics Modulate Gene Expression in Breast and Brain Tumor Cells. Anesthesia & Analgesia. 111(6). 1411–1415. 43 indexed citations

13.

Holstege, Henne, Arno Velds, Xiaoling Liu, et al.. (2010). Cross-species comparison of aCGH data from mouse and human BRCA1- and BRCA2-mutated breast cancers. BMC Cancer. 10(1). 455–455. 32 indexed citations

14.

Holstege, Henne, Hugo M. Horlings, Arno Velds, et al.. (2010). BRCA1-mutated and basal-like breast cancers have similar aCGH profiles and a high incidence of protein truncating TP53 mutations. BMC Cancer. 10(1). 654–654. 43 indexed citations

15.

Schepers, Koen, Erwin Swart, Jeroen W. J. van Heijst, et al.. (2008). Dissecting T cell lineage relationships by cellular barcoding. The Journal of Experimental Medicine. 205(10). 2309–2318. 101 indexed citations

16.

Brummelkamp, Thijn R., Armida W. M. Fabius, Jasper Mullenders, et al.. (2006). An shRNA barcode screen provides insight into cancer cell vulnerability to MDM2 inhibitors. Nature Chemical Biology. 2(4). 202–206. 152 indexed citations

17.

Nijman, Sebastian, Mark P.A. Luna‐Vargas, Arno Velds, et al.. (2005). A Genomic and Functional Inventory of Deubiquitinating Enzymes. Cell. 123(5). 773–786. 1514 indexed citations breakdown →

18.

Chung, Yeun‐Jun, Jos Jonkers, Heike Fiegler, et al.. (2004). A Whole-Genome Mouse BAC Microarray With 1-Mb Resolution for Analysis of DNA Copy Number Changes by Array Comparative Genomic Hybridization. Genome Research. 14(1). 188–196. 88 indexed citations

19.

Berns, Katrien, E. Marielle Hijmans, Jasper Mullenders, et al.. (2004). A large-scale RNAi screen in human cells identifies new components of the p53 pathway. Nature Cell Biology. 428(6981). 431–437. 850 indexed citations breakdown →

20.

Glas, Annuska M., et al.. (2003). Prognostic stratification in follicular lymphoma by gene expression profiling to guide the choice of treatment.. Data Archiving and Networked Services (DANS). 1 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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