Wesley J. Errington

860 total citations
8 papers, 586 citations indexed

About

Wesley J. Errington is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Wesley J. Errington has authored 8 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Wesley J. Errington's work include Ubiquitin and proteasome pathways (4 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Wesley J. Errington is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Wesley J. Errington collaborates with scholars based in United States, Canada and Hungary. Wesley J. Errington's co-authors include Gilbert G. Privé, Qasim Khan, Avijit Chakrabartty, John L. Rubinstein, Stephanie A. Bueler, Casim A. Sarkar, Levi A. Garraway, Namrata D. Udeshi, Mirjam Blattner and Sylvan C. Baca and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Wesley J. Errington

8 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wesley J. Errington United States	8	514	104	81	78	77	8	586
Andrea Rabellino United States	10	480 0.9×	190 1.8×	53 0.7×	85 1.1×	83 1.1×	15	585
Maria Quanz France	10	391 0.8×	160 1.5×	58 0.7×	67 0.9×	139 1.8×	12	506
Francesca Mateo Spain	13	582 1.1×	148 1.4×	53 0.7×	63 0.8×	144 1.9×	18	672
Colin J. Daniel United States	14	704 1.4×	291 2.8×	56 0.7×	62 0.8×	144 1.9×	21	815
Peter Kalev United States	10	578 1.1×	272 2.6×	82 1.0×	97 1.2×	99 1.3×	15	708
Ozan Aygün United States	10	750 1.5×	112 1.1×	30 0.4×	118 1.5×	100 1.3×	12	882
Wayne Miles United States	15	582 1.1×	151 1.5×	52 0.6×	62 0.8×	190 2.5×	34	767
Aarif Ahsan United States	17	457 0.9×	251 2.4×	203 2.5×	59 0.8×	81 1.1×	31	739
Noa Furth Israel	12	476 0.9×	188 1.8×	39 0.5×	261 3.3×	143 1.9×	20	693
Jorge Almagro United Kingdom	11	239 0.5×	166 1.6×	27 0.3×	83 1.1×	99 1.3×	16	519

Countries citing papers authored by Wesley J. Errington

Since Specialization

Citations

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

Fields of papers citing papers by Wesley J. Errington

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wesley J. Errington. 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 Wesley J. Errington. The network helps show where Wesley J. Errington may publish in the future.

Co-authorship network of co-authors of Wesley J. Errington

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

All Works

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8 of 8 papers shown

Errington, Wesley J., et al.. (2022). MVsim is a toolset for quantifying and designing multivalent interactions. Nature Communications. 13(1). 5029–5029. 10 indexed citations

Errington, Wesley J., et al.. (2019). Mechanisms of noncanonical binding dynamics in multivalent protein–protein interactions. Proceedings of the National Academy of Sciences. 116(51). 25659–25667. 37 indexed citations

Marzahn, Melissa R., Suresh Marada, Jihun Lee, et al.. (2016). Higher‐order oligomerization promotes localization of SPOP to liquid nuclear speckles. The EMBO Journal. 35(12). 1254–1275. 152 indexed citations

Theurillat, Jean‐Philippe, Namrata D. Udeshi, Wesley J. Errington, et al.. (2014). Ubiquitylome analysis identifies dysregulation of effector substrates in SPOP-mutant prostate cancer. Science. 346(6205). 85–89. 168 indexed citations

Errington, Wesley J., Qasim Khan, Stephanie A. Bueler, et al.. (2012). Adaptor Protein Self-Assembly Drives the Control of a Cullin-RING Ubiquitin Ligase. Structure. 20(7). 1141–1153. 110 indexed citations

Çırak, Sebahattin, Florian von Deimling, Shrikesh Sachdev, et al.. (2010). Kelch-like homologue 9 mutation is associated with an early onset autosomal dominant distal myopathy. Brain. 133(7). 2123–2135. 51 indexed citations

Macauley, Matthew S., Wesley J. Errington, Cameron D. Mackereth, et al.. (2005). Beads-on-a-String, Characterization of Ets-1 Sumoylated within Its Flexible N-terminal Sequence. Journal of Biological Chemistry. 281(7). 4164–4172. 32 indexed citations

Macauley, Matthew S., Wesley J. Errington, Mark Okon, et al.. (2004). Structural and Dynamic Independence of Isopeptide-linked RanGAP1 and SUMO-1. Journal of Biological Chemistry. 279(47). 49131–49137. 26 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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