Ellen Lorimer

657 total citations
17 papers, 492 citations indexed

About

Ellen Lorimer is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Ellen Lorimer has authored 17 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Ellen Lorimer's work include Protein Kinase Regulation and GTPase Signaling (7 papers), Ubiquitin and proteasome pathways (5 papers) and RNA Research and Splicing (4 papers). Ellen Lorimer is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (7 papers), Ubiquitin and proteasome pathways (5 papers) and RNA Research and Splicing (4 papers). Ellen Lorimer collaborates with scholars based in United States, Czechia and China. Ellen Lorimer's co-authors include Carol L. Williams, Andrew D. Hauser, Tracy J. Berg, Adam Gastonguay, Rongshan Li, Jessica Wilson, Alan P. Fields, Gaik W. Tew, Huiying Zhi and Donna McAllister and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Ellen Lorimer

17 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ellen Lorimer United States 12 368 96 80 58 47 17 492
Justine Lengrand France 2 384 1.0× 127 1.3× 120 1.5× 147 2.5× 107 2.3× 2 667
Mireia Nàger Spain 11 346 0.9× 73 0.8× 65 0.8× 78 1.3× 20 0.4× 15 480
Tristan Gallenne Netherlands 8 458 1.2× 206 2.1× 28 0.3× 74 1.3× 65 1.4× 14 633
Louisa Dowal United States 12 391 1.1× 47 0.5× 139 1.7× 36 0.6× 19 0.4× 22 596
Vaishali Jayashankar United States 7 360 1.0× 94 1.0× 113 1.4× 189 3.3× 27 0.6× 9 563
Hung‐Chi Cheng Taiwan 9 292 0.8× 116 1.2× 55 0.7× 78 1.3× 10 0.2× 15 455
Agata Klejman Poland 9 266 0.7× 96 1.0× 36 0.5× 35 0.6× 11 0.2× 17 586
Pritha Paul United States 12 272 0.7× 73 0.8× 53 0.7× 111 1.9× 5 0.1× 23 468
Sandra A. Mathis United States 12 314 0.9× 68 0.7× 46 0.6× 11 0.2× 56 1.2× 13 514
Michelle Tickner United Kingdom 6 383 1.0× 157 1.6× 52 0.7× 84 1.4× 11 0.2× 7 476

Countries citing papers authored by Ellen Lorimer

Since Specialization
Citations

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

Fields of papers citing papers by Ellen Lorimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ellen Lorimer

This figure shows the co-authorship network connecting the top 25 collaborators of Ellen Lorimer. A scholar is included among the top collaborators of Ellen Lorimer 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 Ellen Lorimer. Ellen Lorimer 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.
Lorimer, Ellen, A. Sundaresan, Carol L. Williams, et al.. (2024). An Alkyne-Containing Isoprenoid Analogue Based on a Farnesyl Diphosphate Scaffold Is a Biologically Functional Universal Probe for Proteomic Analysis. Biochemistry. 64(1). 138–155. 1 indexed citations
2.
Lorimer, Ellen, et al.. (2023). GTPase splice variants RAC1 and RAC1B display isoform-specific differences in localization, prenylation, and interaction with the chaperone protein SmgGDS. Journal of Biological Chemistry. 299(6). 104698–104698. 9 indexed citations
3.
Das, Riki, Ellen Lorimer, Jiayue Hu, et al.. (2023). Synthesis, Enzymatic Peptide Incorporation, and Applications of Diazirine-Containing Isoprenoid Diphosphate Analogues. Organic Letters. 25(36). 6767–6772. 4 indexed citations
4.
Lorimer, Ellen, et al.. (2022). Structural and biophysical properties of farnesylated KRas interacting with the chaperone SmgGDS-558. Biophysical Journal. 121(19). 3684–3697. 1 indexed citations
5.
Lorimer, Ellen, Anikó Szabó, Nirav N. Shah, et al.. (2022). Rap1A, Rap1B, and β-Adrenergic Signaling in Autologous HCT: A Randomized Controlled Trial of Propranolol.. PubMed. 95(1). 45–56. 1 indexed citations
6.
McNally, Lisa, Ellen Lorimer, Kiall F. Suazo, et al.. (2020). Splice switching an oncogenic ratio of SmgGDS isoforms as a strategy to diminish malignancy. Proceedings of the National Academy of Sciences. 117(7). 3627–3636. 21 indexed citations
7.
Bergom, Carmen, Yunguang Sun, Tarin M. Bigley, et al.. (2017). SmgGDS is a transient nucleolar protein that protects cells from nucleolar stress and promotes the cell cycle by regulating DREAM complex gene expression. Oncogene. 36(50). 6873–6883. 12 indexed citations
8.
Bergom, Carmen, Andrew D. Hauser, Amy L. Rymaszewski, et al.. (2016). The Tumor-suppressive Small GTPase DiRas1 Binds the Noncanonical Guanine Nucleotide Exchange Factor SmgGDS and Antagonizes SmgGDS Interactions with Oncogenic Small GTPases. Journal of Biological Chemistry. 291(12). 6534–6545. 24 indexed citations
9.
Wilson, Jessica, et al.. (2016). Differences in the Phosphorylation-Dependent Regulation of Prenylation of Rap1A and Rap1B. Journal of Molecular Biology. 428(24). 4929–4945. 23 indexed citations
10.
Wilson, Jessica, et al.. (2015). β-Adrenergic receptors suppress Rap1B prenylation and promote the metastatic phenotype in breast cancer cells. Cancer Biology & Therapy. 16(9). 1364–1374. 39 indexed citations
11.
Hauser, Andrew D., et al.. (2014). SmgGDS-558 regulates the cell cycle in pancreatic, non-small cell lung, and breast cancers. Cell Cycle. 13(6). 941–952. 16 indexed citations
12.
Lorimer, Ellen, Nathan C. Simon, Andrew D. Hauser, et al.. (2014). The Chaperone Protein SmgGDS Interacts with Small GTPases Entering the Prenylation Pathway by Recognizing the Last Amino Acid in the CAAX Motif. Journal of Biological Chemistry. 289(10). 6862–6876. 36 indexed citations
13.
Hauser, Andrew D., Carmen Bergom, Xiuxu Chen, et al.. (2013). The SmgGDS Splice Variant SmgGDS-558 Is a Key Promoter of Tumor Growth and RhoA Signaling in Breast Cancer. Molecular Cancer Research. 12(1). 130–142. 25 indexed citations
14.
Lorimer, Ellen, Andrew D. Hauser, Donna McAllister, et al.. (2013). An Adenosine-Mediated Signaling Pathway Suppresses Prenylation of the GTPase Rap1B and Promotes Cell Scattering. Science Signaling. 6(277). ra39–ra39. 78 indexed citations
15.
Gastonguay, Adam, et al.. (2012). The role of Rac1 in the regulation of NF-kB activity, cell proliferation, and cell migration in non-small cell lung carcinoma. Cancer Biology & Therapy. 13(8). 647–656. 86 indexed citations
16.
Berg, Tracy J., Adam Gastonguay, Ellen Lorimer, et al.. (2010). Splice Variants of SmgGDS Control Small GTPase Prenylation and Membrane Localization. Journal of Biological Chemistry. 285(46). 35255–35266. 61 indexed citations
17.
Tew, Gaik W., Ellen Lorimer, Tracy J. Berg, et al.. (2007). SmgGDS Regulates Cell Proliferation, Migration, and NF-κB Transcriptional Activity in Non-small Cell Lung Carcinoma. Journal of Biological Chemistry. 283(2). 963–976. 55 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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