Erik Verschueren

4.6k total citations
36 papers, 1.9k citations indexed

About

Erik Verschueren is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Erik Verschueren has authored 36 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Immunology. Recurrent topics in Erik Verschueren's work include Protein Structure and Dynamics (6 papers), Ubiquitin and proteasome pathways (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Erik Verschueren is often cited by papers focused on Protein Structure and Dynamics (6 papers), Ubiquitin and proteasome pathways (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Erik Verschueren collaborates with scholars based in United States, Spain and Belgium. Erik Verschueren's co-authors include Luís Serrano, Peter Vanhee, Frédéric Rousseau, Joost Schymkowitz, Nevan J. Krogan, Jeffrey R. Johnson, Donald S. Kirkpatrick, Peter Cimermančič, Almer M. van der Sloot and John Von Dollen and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Neuroscience.

In The Last Decade

Erik Verschueren

36 papers receiving 1.9k citations

Peers

Erik Verschueren

EPIDE

IMMUN

ONCOL

Dana Westphal Germany

Alexey Stukalov Austria

Vladimir Prassolov Russia

Ping Yuan China

Jan Eickhoff Germany

Eric Stawiski United States

Carlo M. Nalin United States

Sami Mahrus United States

Dmitri Kazmin United States

Mark Andrake United States

Dana Westphal Germany

Erik Verschueren

1.6k ×1.2

325 ×1.0

EPIDE

366 ×1.2

IMMUN

469 ×2.0

ONCOL

138 ×0.6

Citations per year, relative to Erik Verschueren Erik Verschueren (= 1×) peers Dana Westphal

Countries citing papers authored by Erik Verschueren

Since Specialization

Citations

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

Fields of papers citing papers by Erik Verschueren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Verschueren

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Verschueren. A scholar is included among the top collaborators of Erik Verschueren 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 Erik Verschueren. Erik Verschueren 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

Li, Caiyun G., Erik Verschueren, Ru Wen, et al.. (2023). NUSAP1 Binds ILF2 to Modulate R-Loop Accumulation and DNA Damage in Prostate Cancer. International Journal of Molecular Sciences. 24(7). 6258–6258. 16 indexed citations

Tsai, Tsung‐Heng, Erik Verschueren, Ting Huang, et al.. (2022). MSstatsPTM: Statistical Relative Quantification of Posttranslational Modifications in Bottom-Up Mass Spectrometry-Based Proteomics. Molecular & Cellular Proteomics. 22(1). 100477–100477. 17 indexed citations

Astarita, Jillian L., Shilpa Keerthivasan, Bushra Husain, et al.. (2021). The neutrophil protein CD177 is a novel PDPN receptor that regulates human cancer-associated fibroblast physiology. PLoS ONE. 16(12). e0260800–e0260800. 10 indexed citations

Phu, Lilian, Christopher M. Rose, Joy S. Tea, et al.. (2020). Dynamic Regulation of Mitochondrial Import by the Ubiquitin System. Molecular Cell. 77(5). 1107–1123.e10. 108 indexed citations

Vogl, Annette M., Lilian Phu, Sebastián A. Giusti, et al.. (2020). Global site-specific neddylation profiling reveals that NEDDylated cofilin regulates actin dynamics. Nature Structural & Molecular Biology. 27(2). 210–220. 66 indexed citations

Verschueren, Erik, Bushra Husain, Kobe Yuen, et al.. (2020). The Immunoglobulin Superfamily Receptome Defines Cancer-Relevant Networks Associated with Clinical Outcome. Cell. 182(2). 329–344.e19. 66 indexed citations

Reichermeier, Kurt M., Ronny Straube, Justin M. Reitsma, et al.. (2020). PIKES Analysis Reveals Response to Degraders and Key Regulatory Mechanisms of the CRL4 Network. Molecular Cell. 77(5). 1092–1106.e9. 55 indexed citations

Gordon, David E., Ariane Watson, Assen Roguev, et al.. (2020). A Quantitative Genetic Interaction Map of HIV Infection. Molecular Cell. 78(2). 197–209.e7. 13 indexed citations

Abed, Mona, Erik Verschueren, Hanna G. Budayeva, et al.. (2019). The Gag protein PEG10 binds to RNA and regulates trophoblast stem cell lineage specification. PLoS ONE. 14(4). e0214110–e0214110. 49 indexed citations

10.

Samie, Mohammad, Junghyun Lim, Erik Verschueren, et al.. (2018). Selective autophagy of the adaptor TRIF regulates innate inflammatory signaling. Nature Immunology. 19(3). 246–254. 107 indexed citations

11.

Tsai, Tsung‐Heng, Zhiqi Hao, Qiuting Hong, et al.. (2017). Statistical characterization of therapeutic protein modifications. Scientific Reports. 7(1). 7896–7896. 3 indexed citations

12.

Besnard, Emilie, Shweta Hakre, Martin Kampmann, et al.. (2016). The mTOR Complex Controls HIV Latency. Cell Host & Microbe. 20(6). 785–797. 160 indexed citations

13.

Sidrauski, Carmela, Jordan C. Tsai, Martin Kampmann, et al.. (2015). Pharmacological dimerization and activation of the exchange factor eIF2B antagonizes the integrated stress response. eLife. 4. e07314–e07314. 187 indexed citations

14.

Ramage, Holly, G. Renuka Kumar, Erik Verschueren, et al.. (2015). A Combined Proteomics/Genomics Approach Links Hepatitis C Virus Infection with Nonsense-Mediated mRNA Decay. Molecular Cell. 57(2). 329–340. 102 indexed citations

15.

Verschueren, Erik, Christiane Landgraf, Aline Huber, et al.. (2015). Evolution of the SH3 Domain Specificity Landscape in Yeasts. PLoS ONE. 10(6). e0129229–e0129229. 8 indexed citations

16.

Morris, John H., Giselle M. Knudsen, Erik Verschueren, et al.. (2014). Affinity purification–mass spectrometry and network analysis to understand protein-protein interactions. Nature Protocols. 9(11). 2539–2554. 138 indexed citations

17.

Davis, Zoe H., Erik Verschueren, Gwendolyn Μ. Jang, et al.. (2014). Global Mapping of Herpesvirus-Host Protein Complexes Reveals a Transcription Strategy for Late Genes. Molecular Cell. 57(2). 349–360. 146 indexed citations

18.

Vanhee, Peter, Almer M. van der Sloot, Erik Verschueren, et al.. (2011). Computational design of peptide ligands. Trends in biotechnology. 29(5). 231–239. 132 indexed citations

19.

Verschueren, Erik, Peter Vanhee, Almer M. van der Sloot, et al.. (2011). Protein design with fragment databases. Current Opinion in Structural Biology. 21(4). 452–459. 26 indexed citations

20.

Vanhee, Peter, Erik Verschueren, François Stricher, et al.. (2010). BriX: a database of protein building blocks for structural analysis, modeling and design. Nucleic Acids Research. 39(suppl_1). D435–D442. 42 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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