Angelique R. Ormsby

865 total citations
17 papers, 482 citations indexed

About

Angelique R. Ormsby is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Angelique R. Ormsby has authored 17 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 5 papers in Cell Biology. Recurrent topics in Angelique R. Ormsby's work include Genetic Neurodegenerative Diseases (9 papers), Mitochondrial Function and Pathology (6 papers) and Heat shock proteins research (4 papers). Angelique R. Ormsby is often cited by papers focused on Genetic Neurodegenerative Diseases (9 papers), Mitochondrial Function and Pathology (6 papers) and Heat shock proteins research (4 papers). Angelique R. Ormsby collaborates with scholars based in Australia, United States and United Kingdom. Angelique R. Ormsby's co-authors include Danny M. Hatters, Dezerae Cox, Yasmin M. Ramdzan, Rebecca J. Wood, Rohit V. Pappu, Kiersten M. Ruff, Anthony W. Purcell, Gavin E. Reid, David B. Ascher and Ivan H. W. Ng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Angelique R. Ormsby

17 papers receiving 480 citations

Peers

Angelique R. Ormsby

CMN

NEURO

Deep Chatterjee Germany

Yasmin M. Ramdzan Australia

Prasanna Venkatraman India

Haina Qin Singapore

Peng-Peng Zhu United States

Emily M. Sontag United States

Ashley N. Leek United States

Rahul S. Samant United Kingdom

Vladimir Peña Germany

Mariana P. Torrente United States

Deep Chatterjee Germany

Angelique R. Ormsby

312 ×0.8

74 ×0.6

CMN

94 ×0.8

76 ×1.3

NEURO

50 ×1.0

Citations per year, relative to Angelique R. Ormsby Angelique R. Ormsby (= 1×) peers Deep Chatterjee

Countries citing papers authored by Angelique R. Ormsby

Since Specialization

Citations

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

Fields of papers citing papers by Angelique R. Ormsby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angelique R. Ormsby. 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 Angelique R. Ormsby. The network helps show where Angelique R. Ormsby may publish in the future.

Co-authorship network of co-authors of Angelique R. Ormsby

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

All Works

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17 of 17 papers shown

Ormsby, Angelique R., Dezerae Cox, Nagaraj S. Moily, et al.. (2022). A biosensor of protein foldedness identifies increased “holdase” activity of chaperones in the nucleus following increased cytosolic protein aggregation. Journal of Biological Chemistry. 298(8). 102158–102158. 4 indexed citations

Ruff, Kiersten M., Dezerae Cox, Angelique R. Ormsby, et al.. (2022). Sequence grammar underlying the unfolding and phase separation of globular proteins. Molecular Cell. 82(17). 3193–3208.e8. 63 indexed citations

Ormsby, Angelique R., Eric Kusnadi, Hamish E. G. McWilliam, et al.. (2022). Arginine-rich C9ORF72 ALS proteins stall ribosomes in a manner distinct from a canonical ribosome-associated quality control substrate. Journal of Biological Chemistry. 299(1). 102774–102774. 18 indexed citations

Cox, Dezerae, Angelique R. Ormsby, Gavin E. Reid, & Danny M. Hatters. (2022). Protein painting reveals pervasive remodeling of conserved proteostasis machinery in response to pharmacological stimuli. npj Systems Biology and Applications. 8(1). 46–46. 5 indexed citations

Sui, Xiaojing, Douglas E. V. Pires, Angelique R. Ormsby, et al.. (2020). Widespread remodeling of proteome solubility in response to different protein homeostasis stresses. Proceedings of the National Academy of Sciences. 117(5). 2422–2431. 40 indexed citations

Radwan, Mona, Ching‐Seng Ang, Angelique R. Ormsby, et al.. (2020). Arginine in C9ORF72 Dipolypeptides Mediates Promiscuous Proteome Binding and Multiple Modes of Toxicity. Molecular & Cellular Proteomics. 19(4). 640–654. 25 indexed citations

Ormsby, Angelique R., et al.. (2020). Nascent mutant Huntingtin exon 1 chains do not stall on ribosomes during translation but aggregates do recruit machinery involved in ribosome quality control and RNA. PLoS ONE. 15(7). e0233583–e0233583. 5 indexed citations

Newcombe, Estella A., Kiersten M. Ruff, Ashish Sethi, et al.. (2018). Tadpole-like Conformations of Huntingtin Exon 1 Are Characterized by Conformational Heterogeneity that Persists regardless of Polyglutamine Length. Journal of Molecular Biology. 430(10). 1442–1458. 47 indexed citations

Wood, Rebecca J., Angelique R. Ormsby, Mona Radwan, et al.. (2018). A biosensor-based framework to measure latent proteostasis capacity. Nature Communications. 9(1). 287–287. 40 indexed citations

10.

Hatters, Danny M., et al.. (2018). Measuring proteostasis capacity using transiently transfected bait proteins by flow cytometry. Protocol Exchange. 2 indexed citations

11.

Moily, Nagaraj S., Angelique R. Ormsby, Yasmin M. Ramdzan, et al.. (2017). Transcriptional profiles for distinct aggregation states of mutant Huntingtin exon 1 protein unmask new Huntington's disease pathways. Molecular and Cellular Neuroscience. 83. 103–112. 21 indexed citations

12.

Sharma, Abhishek A., Estella A. Newcombe, Angelique R. Ormsby, et al.. (2017). Conformational dynamics and self-association of intrinsically disordered Huntingtin exon 1 in cells. Physical Chemistry Chemical Physics. 19(17). 10738–10747. 25 indexed citations

13.

Chen, Moore Z., Sue‐Ann Mok, Angelique R. Ormsby, Paul J. Muchowski, & Danny M. Hatters. (2017). N-Terminal Fragments of Huntingtin Longer than Residue 170 form Visible Aggregates Independently to Polyglutamine Expansion. Journal of Huntington s Disease. 6(1). 79–91. 6 indexed citations

14.

Ormsby, Angelique R., Rebecca J. Wood, Cheryl Shoubridge, et al.. (2015). Polyalanine expansions drive a shift into α-helical clusters without amyloid-fibril formation. Nature Structural & Molecular Biology. 22(12). 1008–1015. 39 indexed citations

15.

Kandemir, Sevgi İrtegün, Rebecca J. Wood, Angelique R. Ormsby, Terrence D. Mulhern, & Danny M. Hatters. (2013). Tyrosine 416 Is Phosphorylated in the Closed, Repressed Conformation of c-Src. PLoS ONE. 8(7). e71035–e71035. 38 indexed citations

16.

Ormsby, Angelique R., et al.. (2013). A Platform to View Huntingtin Exon 1 Aggregation Flux in the Cell Reveals Divergent Influences from Chaperones hsp40 and hsp70. Journal of Biological Chemistry. 288(52). 37192–37203. 20 indexed citations

17.

Ramdzan, Yasmin M., Cheryl Chia, Ivan H. W. Ng, et al.. (2012). Tracking protein aggregation and mislocalization in cells with flow cytometry. Nature Methods. 9(5). 467–470. 84 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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