Stephen A. Rose

541 total citations
10 papers, 440 citations indexed

About

Stephen A. Rose is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Stephen A. Rose has authored 10 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Stephen A. Rose's work include Ubiquitin and proteasome pathways (5 papers), Plant and animal studies (2 papers) and Insect and Pesticide Research (2 papers). Stephen A. Rose is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Plant and animal studies (2 papers) and Insect and Pesticide Research (2 papers). Stephen A. Rose collaborates with scholars based in United Kingdom, United States and Australia. Stephen A. Rose's co-authors include H.C. Ardley, Alexander F. Markham, Philip A. Robinson, Gina B. Scott, Philip A. Robinson, Martin Scheffner, Pamela F. Jones, Ulrike A. Nuber, Amro Zayed and Benjamin P. Oldroyd and has published in prestigious journals such as Journal of Biological Chemistry, FEBS Letters and Journal of Neurochemistry.

In The Last Decade

Stephen A. Rose

9 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen A. Rose United Kingdom 7 292 140 96 79 78 10 440
Marie Ménade Canada 9 553 1.9× 174 1.2× 104 1.1× 291 3.7× 100 1.3× 9 713
Joh-E Ikeda Japan 14 350 1.2× 113 0.8× 35 0.4× 52 0.7× 41 0.5× 18 556
Melania Minoia Netherlands 9 472 1.6× 49 0.3× 118 1.2× 115 1.5× 214 2.7× 11 581
Fabienne Godin France 10 295 1.0× 93 0.7× 48 0.5× 25 0.3× 55 0.7× 17 483
Susan Nguyen United States 9 189 0.6× 30 0.2× 44 0.5× 153 1.9× 104 1.3× 16 395
Chana Fuchs United States 8 301 1.0× 30 0.2× 98 1.0× 40 0.5× 173 2.2× 11 487
Adil R. Sarhan United Kingdom 8 180 0.6× 234 1.7× 37 0.4× 43 0.5× 169 2.2× 11 408
Junqiang Ye United States 10 344 1.2× 106 0.8× 21 0.2× 92 1.2× 30 0.4× 17 554
Efraín Siller United States 6 409 1.4× 21 0.1× 76 0.8× 32 0.4× 71 0.9× 7 491
Alberto de Luis Spain 9 309 1.1× 51 0.4× 20 0.2× 30 0.4× 56 0.7× 11 451

Countries citing papers authored by Stephen A. Rose

Since Specialization
Citations

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

Fields of papers citing papers by Stephen A. Rose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen A. Rose. 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 Stephen A. Rose. The network helps show where Stephen A. Rose may publish in the future.

Co-authorship network of co-authors of Stephen A. Rose

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

All Works

10 of 10 papers shown
2.
Smith, Nicholas M. A., Boris Yagound, Emily J. Remnant, et al.. (2020). Paternally‐biased gene expression follows kin‐selected predictions in female honey bee embryos. Molecular Ecology. 29(8). 1523–1533. 13 indexed citations
3.
Smith, Nicholas M. A., Claire M. Wade, Michael H. Allsopp, et al.. (2018). Strikingly high levels of heterozygosity despite 20 years of inbreeding in a clonal honey bee. Journal of Evolutionary Biology. 32(2). 144–152. 18 indexed citations
4.
Haines, David, Maxim V. Trushin, Stephen A. Rose, Simon Bernard Iloki Assanga, & Fadia Mahmoud. (2018). Parkinson’s Disease: Alpha Synuclein, Heme Oxygenase and Biotherapeutic Countermeasures. Current Pharmaceutical Design. 24(20). 2317–2321. 6 indexed citations
5.
Ardley, H.C., et al.. (2004). UCH‐L1 aggresome formation in response to proteasome impairment indicates a role in inclusion formation in Parkinson's disease. Journal of Neurochemistry. 90(2). 379–391. 93 indexed citations
6.
Ardley, H.C., et al.. (2003). Inhibition of Proteasomal Activity Causes Inclusion Formation in Neuronal and Non-Neuronal Cells Overexpressing Parkin. Molecular Biology of the Cell. 14(11). 4541–4556. 98 indexed citations
7.
Ardley, H.C., et al.. (2003). Human homologue of ariadne promotes the ubiquitylation of translation initiation factor 4E homologous protein, 4EHP. FEBS Letters. 554(3). 501–504. 41 indexed citations
8.
Ardley, H.C., et al.. (2001). Features of the Parkin/Ariadne-like Ubiquitin Ligase, HHARI, That Regulate Its Interaction with the Ubiquitin-conjugating Enzyme, UbcH7. Journal of Biological Chemistry. 276(22). 19640–19647. 68 indexed citations
9.
Nuber, Ulrike A., et al.. (1999). Characterization of the mouse ubiquitin-conjugating enzyme gene UbcM4. Mammalian Genome. 10(10). 977–982. 3 indexed citations
10.
Ardley, H.C., Ulrike A. Nuber, Stephen A. Rose, et al.. (1999). The Ubiquitin-conjugating Enzymes UbcH7 and UbcH8 Interact with RING Finger/IBR Motif-containing Domains of HHARI and H7-AP1. Journal of Biological Chemistry. 274(43). 30963–30968. 100 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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