Aurélia E. Lewis

798 total citations
27 papers, 598 citations indexed

About

Aurélia E. Lewis is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Aurélia E. Lewis has authored 27 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Aurélia E. Lewis's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Cancer-related Molecular Pathways (5 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Aurélia E. Lewis is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Cancer-related Molecular Pathways (5 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Aurélia E. Lewis collaborates with scholars based in Norway, United Kingdom and United States. Aurélia E. Lewis's co-authors include Marit Bakke, Erling A. Høivik, Clive S. D’Santos, Judy L. Meinkoth, Magnus Ø. Arntzen, Nullin Divecha, Nicholas A. Morrice, Yvan Strahm, Marte Rusten and Camilla Krakstad and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Biochemical Journal.

In The Last Decade

Aurélia E. Lewis

27 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aurélia E. Lewis Norway 15 428 159 90 73 65 27 598
Stephan Ryser Switzerland 18 475 1.1× 70 0.4× 94 1.0× 30 0.4× 76 1.2× 22 717
Kerstin W. Sinkevicius United States 13 387 0.9× 135 0.8× 216 2.4× 30 0.4× 169 2.6× 19 731
Dipanjan Basu United States 14 309 0.7× 100 0.6× 135 1.5× 26 0.4× 172 2.6× 23 644
Gernot Langer Germany 11 318 0.7× 358 2.3× 62 0.7× 132 1.8× 23 0.4× 18 677
Anthony J. Saporita United States 11 523 1.2× 134 0.8× 176 2.0× 69 0.9× 28 0.4× 16 781
A. Misra-Press United States 6 420 1.0× 122 0.8× 65 0.7× 76 1.0× 37 0.6× 7 598
Caroline Thériault Canada 14 335 0.8× 101 0.6× 204 2.3× 72 1.0× 148 2.3× 15 701
Alicia Subtil‐Rodríguez Spain 8 374 0.9× 200 1.3× 139 1.5× 54 0.7× 39 0.6× 10 540
Darya Burakov United States 8 683 1.6× 332 2.1× 95 1.1× 67 0.9× 79 1.2× 9 897
Martha Noel United States 6 416 1.0× 61 0.4× 156 1.7× 46 0.6× 34 0.5× 17 681

Countries citing papers authored by Aurélia E. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Aurélia E. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aurélia E. Lewis. 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 Aurélia E. Lewis. The network helps show where Aurélia E. Lewis may publish in the future.

Co-authorship network of co-authors of Aurélia E. Lewis

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

All Works

20 of 20 papers shown
1.
Jakubec, Martin, et al.. (2023). Contrasting the phospholipid profiles of two neoplastic cell lines reveal a high PC:PE ratio for SH-SY5Y cells relative to A431 cells. Biochemical and Biophysical Research Communications. 656. 23–29. 1 indexed citations
2.
Karlsson, Thomas, et al.. (2021). Nuclear upregulation of class I phosphoinositide 3-kinase p110β correlates with high 47S rRNA levels in cancer cells. Journal of Cell Science. 134(3). 6 indexed citations
3.
Lewis, Aurélia E., et al.. (2021). Phosphoinositide 3-kinase signalling in the nucleolus. Advances in Biological Regulation. 83. 100843–100843. 13 indexed citations
4.
D’Santos, Clive S., et al.. (2021). Nuclear Phosphatidylinositol 3,4,5-Trisphosphate Interactome Uncovers an Enrichment in Nucleolar Proteins. Molecular & Cellular Proteomics. 20. 100102–100102. 14 indexed citations
5.
Edson, Amanda J., et al.. (2019). Polyphosphoinositides in the nucleus: Roadmap of their effectors and mechanisms of interaction. Advances in Biological Regulation. 72. 7–21. 23 indexed citations
6.
Mjøs, Siv, Henrica M.J. Werner, Even Birkeland, et al.. (2017). PIK3CA exon9 mutations associate with reduced survival, and are highly concordant between matching primary tumors and metastases in endometrial cancer. Scientific Reports. 7(1). 10240–10240. 23 indexed citations
7.
Lewis, Aurélia E., Reidun Aesöy, & Marit Bakke. (2016). Role of EPAC in cAMP-Mediated Actions in Adrenocortical Cells. Frontiers in Endocrinology. 7. 63–63. 15 indexed citations
8.
Mellgren, Gunnar, et al.. (2016). DNA Topoisomerase IIα contributes to the early steps of adipogenesis in 3T3-L1 cells. Cellular Signalling. 28(10). 1593–1603. 2 indexed citations
11.
Lewis, Aurélia E., Magnus Ø. Arntzen, Yvan Strahm, et al.. (2010). Identification of Nuclear Phosphatidylinositol 4,5-Bisphosphate-Interacting Proteins by Neomycin Extraction. Molecular & Cellular Proteomics. 10(2). S1–S15. 92 indexed citations
12.
Arntzen, Magnus Ø., et al.. (2009). POSTMan (POST‐translational modification analysis), a software application for PTM discovery. PROTEOMICS. 9(5). 1400–1406. 3 indexed citations
13.
Høivik, Erling A., et al.. (2009). Molecular aspects of steroidogenic factor 1 (SF-1). Molecular and Cellular Endocrinology. 315(1-2). 27–39. 121 indexed citations
14.
Høivik, Erling A., Reidun Aesöy, Haldis H. Lillefosse, et al.. (2008). Deoxyribonucleic Acid Methylation Controls Cell Type-Specific Expression of Steroidogenic Factor 1. Endocrinology. 149(11). 5599–5609. 32 indexed citations
15.
Lewis, Aurélia E., et al.. (2007). Phosphorylation of Steroidogenic Factor 1 Is Mediated by Cyclin-Dependent Kinase 7. Molecular Endocrinology. 22(1). 91–104. 36 indexed citations
16.
Lewis, Aurélia E., et al.. (2006). Ras Triggers Ataxia-telangiectasia-mutated and Rad-3-related Activation and Apoptosis through Sustained Mitogenic Signaling. Journal of Biological Chemistry. 281(46). 34759–34767. 27 indexed citations
17.
Lewis, Aurélia E., Radhika Susarla, Benjamin C.Y. Wong, M. J. S. Langman, & Margaret C. Eggo. (2004). Protein kinase C delta is not activated by caspase-3 and its inhibition is sufficient to induce apoptosis in the colon cancer line, COLO 205. Cellular Signalling. 17(2). 253–262. 16 indexed citations
18.
Lewis, Aurélia E., et al.. (2004). Thyrotropin and Serum Regulate Thyroid Cell Proliferation through Differential Effects on p27 Expression and Localization. Molecular Endocrinology. 18(9). 2321–2332. 9 indexed citations
19.
Rusten, Marte, Aurélia E. Lewis, & Marit Bakke. (2004). NGFI‐B Is Important for Induction of SF‐1 Dependent Transcription in Response to cAMP. Endocrine Research. 30(4). 607–607. 1 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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