Peristera Roboti

784 total citations
17 papers, 528 citations indexed

About

Peristera Roboti is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Peristera Roboti has authored 17 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Cell Biology and 5 papers in Immunology. Recurrent topics in Peristera Roboti's work include Endoplasmic Reticulum Stress and Disease (7 papers), Cellular transport and secretion (7 papers) and Glycosylation and Glycoproteins Research (4 papers). Peristera Roboti is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (7 papers), Cellular transport and secretion (7 papers) and Glycosylation and Glycoproteins Research (4 papers). Peristera Roboti collaborates with scholars based in United Kingdom, Sweden and United States. Peristera Roboti's co-authors include Stephen High, Martin Lowe, Eileithyia Swanton, Keisuke Sato, Mironov Aa, Keisuke Sato, Qiuling Li, Mei Mei, Zhengzhou Ying and Anna C. Callan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Peristera Roboti

17 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peristera Roboti United Kingdom 11 352 286 75 74 70 17 528
Holly A. Morrison United States 12 337 1.0× 151 0.5× 141 1.9× 68 0.9× 43 0.6× 31 619
N. Erwin Ivessa Austria 12 418 1.2× 394 1.4× 119 1.6× 44 0.6× 112 1.6× 17 625
Utako Kato Japan 8 515 1.5× 267 0.9× 46 0.6× 47 0.6× 46 0.7× 11 667
Aaron H. Nile United States 16 738 2.1× 305 1.1× 35 0.5× 57 0.8× 47 0.7× 27 902
Stefan Schorr Germany 12 705 2.0× 514 1.8× 106 1.4× 134 1.8× 90 1.3× 16 945
Alisa Zyryanova United Kingdom 11 464 1.3× 399 1.4× 52 0.7× 54 0.7× 133 1.9× 12 733
Tobias Welz Germany 10 250 0.7× 230 0.8× 48 0.6× 33 0.4× 34 0.5× 13 494
Nico Schäuble Germany 9 384 1.1× 312 1.1× 62 0.8× 81 1.1× 56 0.8× 12 541
Seung Jae Jeong South Korea 8 670 1.9× 178 0.6× 70 0.9× 37 0.5× 103 1.5× 11 883
Sabina Coppari Italy 8 410 1.2× 403 1.4× 118 1.6× 34 0.5× 104 1.5× 8 724

Countries citing papers authored by Peristera Roboti

Since Specialization
Citations

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

Fields of papers citing papers by Peristera Roboti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peristera Roboti

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

All Works

17 of 17 papers shown
1.
Roboti, Peristera, Craig Lawless, & Stephen High. (2022). Mitochondrial antiviral-signalling protein is a client of the BAG6 protein quality control complex. Journal of Cell Science. 135(9). 1 indexed citations
2.
O’Keefe, Sarah, et al.. (2021). Ipomoeassin-F inhibits the in vitro biogenesis of the SARS-CoV-2 spike protein and its host cell membrane receptor. Journal of Cell Science. 134(4). 23 indexed citations
3.
Roboti, Peristera, et al.. (2021). Ipomoeassin-F disrupts multiple aspects of secretory protein biogenesis. Scientific Reports. 11(1). 11562–11562. 9 indexed citations
4.
Roboti, Peristera, et al.. (2021). His domain protein tyrosine phosphatase and Rabaptin-5 couple endo-lysosomal sorting of EGFR with endosomal maturation. Journal of Cell Science. 134(21). 8 indexed citations
5.
Martínez‐Lumbreras, Santiago, E. Krysztofinska, Alessandro Spilotros, et al.. (2018). Structural complexity of the co-chaperone SGTA: a conserved C-terminal region is implicated in dimerization and substrate quality control. BMC Biology. 16(1). 76–76. 10 indexed citations
6.
Liu, Chunyi, Mei Mei, Qiuling Li, et al.. (2016). Loss of the golgin GM130 causes Golgi disruption, Purkinje neuron loss, and ataxia in mice. Proceedings of the National Academy of Sciences. 114(2). 346–351. 94 indexed citations
7.
Roboti, Peristera, Keisuke Sato, & Martin Lowe. (2015). The golgin GMAP-210 is required for efficient membrane trafficking in the early secretory pathway. Journal of Cell Science. 128(8). 1595–606. 39 indexed citations
8.
Sato, Keisuke, Peristera Roboti, Mironov Aa, & Martin Lowe. (2014). Coupling of vesicle tethering and Rab binding is required for in vivo functionality of the golgin GMAP-210. Molecular Biology of the Cell. 26(3). 537–553. 47 indexed citations
9.
Sun, Chao, Peristera Roboti, Mårten Fryknäs, et al.. (2014). Elevation of Proteasomal Substrate Levels Sensitizes Cells to Apoptosis Induced by Inhibition of Proteasomal Deubiquitinases. PLoS ONE. 9(10). e108839–e108839. 7 indexed citations
10.
Roboti, Peristera, Tomasz M. Witkos, & Martin Lowe. (2013). Biochemical Analysis of Secretory Trafficking in Mammalian Cells. Methods in cell biology. 118. 85–103. 10 indexed citations
11.
Roboti, Peristera, et al.. (2013). OST4 is a subunit of the mammalian oligosaccharyltransferase required for efficient N-glycosylation. Journal of Cell Science. 126(Pt 12). 2595–606. 25 indexed citations
12.
Roboti, Peristera & Stephen High. (2012). The oligosaccharyltransferase subunits OST48, DAD1 and KCP2 function as ubiquitous and selective modulators of mammalian N-glycosylation. Journal of Cell Science. 125(Pt 14). 3474–84. 68 indexed citations
13.
Roboti, Peristera & Stephen High. (2012). Keratinocyte-associated protein 2 is a bona fide subunit of the mammalian oligosaccharyltransferase. Journal of Cell Science. 125(1). 220–232. 29 indexed citations
14.
Öjemalm, Karin, Helen Watson, Peristera Roboti, et al.. (2012). Positional editing of transmembrane domains during ion channel assembly. Journal of Cell Science. 126(2). 464–472. 9 indexed citations
15.
McKibbin, Craig, Peristera Roboti, Anna C. Callan, et al.. (2011). Inhibition of protein translocation at the endoplasmic reticulum promotes activation of the unfolded protein response. Biochemical Journal. 442(3). 639–648. 33 indexed citations
16.
Cross, Benedict C. S., Craig McKibbin, Anna C. Callan, et al.. (2009). Eeyarestatin I inhibits Sec61-mediated protein translocation at the endoplasmic reticulum. Journal of Cell Science. 122(23). 4393–4400. 87 indexed citations
17.
Roboti, Peristera, Eileithyia Swanton, & Stephen High. (2009). Differences in endoplasmic-reticulum quality control determine the cellular response to disease-associated mutants of proteolipid protein. Journal of Cell Science. 122(21). 3942–3953. 29 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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