Margie N. Sutton

648 total citations
24 papers, 474 citations indexed

About

Margie N. Sutton is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Margie N. Sutton has authored 24 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Epidemiology and 5 papers in Oncology. Recurrent topics in Margie N. Sutton's work include Autophagy in Disease and Therapy (10 papers), Epigenetics and DNA Methylation (5 papers) and Genetic Syndromes and Imprinting (4 papers). Margie N. Sutton is often cited by papers focused on Autophagy in Disease and Therapy (10 papers), Epigenetics and DNA Methylation (5 papers) and Genetic Syndromes and Imprinting (4 papers). Margie N. Sutton collaborates with scholars based in United States, United Kingdom and China. Margie N. Sutton's co-authors include Robert C. Bast, Zhen Lü, Hailing Yang, Weiqun Mao, Warren S.‐L. Liao, Charlotte H. Clarke, Mengge Yang, Steven W. Millward, Xiaowen Liang and Seth T. Gammon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Margie N. Sutton

23 papers receiving 471 citations

Peers

Margie N. Sutton
Yung-Chieh Chang Taiwan
Núria Eritja Spain
Blanca Felipe‐Abrio Spain
Monika Lamparska‐Przybysz Poland
Debarshi Roy United States
Lanya Li China
Laura Devis Spain
Mingrui Zhu China
Л. В. Спирина Russia
Antonio Lucena-Cacace Spain
Yung-Chieh Chang Taiwan
Margie N. Sutton
Citations per year, relative to Margie N. Sutton Margie N. Sutton (= 1×) peers Yung-Chieh Chang

Countries citing papers authored by Margie N. Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Margie N. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margie N. Sutton. 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 Margie N. Sutton. The network helps show where Margie N. Sutton may publish in the future.

Co-authorship network of co-authors of Margie N. Sutton

This figure shows the co-authorship network connecting the top 25 collaborators of Margie N. Sutton. A scholar is included among the top collaborators of Margie N. Sutton 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 Margie N. Sutton. Margie N. Sutton 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.
Sutton, Margie N., et al.. (2024). Dimerization of the 4Ig isoform of B7-H3 in tumor cells mediates enhanced proliferation and tumorigenic signaling. Communications Biology. 7(1). 21–21. 7 indexed citations
2.
Sutton, Margie N., Abdur Rehman, C. Le, et al.. (2024). Imaging Activated Innate Immune Myeloid Cells in Immune Effector Cell-Associated Neurotoxicity Syndrome (ICANS) Following CAR T-Cell Therapy. Blood. 144(Supplement 1). 3428–3428. 2 indexed citations
3.
Engel, Brian J., Vincenzo Paolillo, Margie N. Sutton, et al.. (2023). Gender Differences in a Mouse Model of Hepatocellular Carcinoma Revealed Using Multi-Modal Imaging. Cancers. 15(15). 3787–3787. 2 indexed citations
4.
5.
Gray, Joshua P., Gamze Bildik, Margie N. Sutton, et al.. (2022). Abstract 3599: Helical stapled peptides derived from DIRAS3 block KRAS dimerization and downstream MEK/ERK signaling in pancreatic and ovarian carcinomas. Cancer Research. 82(12_Supplement). 3599–3599. 2 indexed citations
6.
Gray, Joshua P., Rajan Chaudhari, Margie N. Sutton, et al.. (2021). Directed evolution of cyclic peptides for inhibition of autophagy. Chemical Science. 12(10). 3526–3543. 27 indexed citations
7.
Sutton, Margie N., et al.. (2021). RAS-Driven Macropinocytosis of Albumin or Dextran Reveals Mutation-Specific Target Engagement of RAS p.G12C Inhibitor ARS-1620 by NIR-Fluorescence Imaging. Molecular Imaging and Biology. 24(3). 498–509. 8 indexed citations
8.
Gammon, Seth T., et al.. (2021). Excess exogenous pyruvate inhibits lactate dehydrogenase activity in live cells in an MCT1-dependent manner. Journal of Biological Chemistry. 297(1). 100775–100775. 19 indexed citations
9.
Bildik, Gamze, Xiaowen Liang, Margie N. Sutton, Robert C. Bast, & Zhen Lü. (2021). DIRAS3: An Imprinted Tumor Suppressor Gene that Regulates RAS and PI3K-driven Cancer Growth, Motility, Autophagy, and Tumor Dormancy. Molecular Cancer Therapeutics. 21(1). 25–37. 25 indexed citations
10.
Lytle, Nikki K., Seth T. Gammon, Tikvah K. Hayes, et al.. (2020). Analysis of RAS protein interactions in living cells reveals a mechanism for pan-RAS depletion by membrane-targeted RAS binders. Proceedings of the National Academy of Sciences. 117(22). 12121–12130. 12 indexed citations
11.
Sutton, Margie N., Zhen Lü, Yong Zhou, et al.. (2019). DIRAS3 (ARHI) Blocks RAS/MAPK Signaling by Binding Directly to RAS and Disrupting RAS Clusters. Cell Reports. 29(11). 3448–3459.e6. 48 indexed citations
12.
Fourkala, Evangelia Ourania, Aleksandra Gentry‐Maharaj, Andy Ryan, et al.. (2019). Complementary Longitudinal Serum Biomarkers to CA125 for Early Detection of Ovarian Cancer. Cancer Prevention Research. 12(6). 391–400. 22 indexed citations
13.
Sutton, Margie N., Gilbert Y. Huang, Xiaowen Liang, et al.. (2019). DIRAS3-Derived Peptide Inhibits Autophagy in Ovarian Cancer Cells by Binding to Beclin1. Cancers. 11(4). 557–557. 19 indexed citations
14.
Sutton, Margie N., Gilbert Y. Huang, Jinhua Zhou, et al.. (2019). Amino Acid Deprivation-Induced Autophagy Requires Upregulation of DIRAS3 through Reduction of E2F1 and E2F4 Transcriptional Repression. Cancers. 11(5). 603–603. 24 indexed citations
15.
Sutton, Margie N., Hailing Yang, Gilbert Y. Huang, et al.. (2018). RAS-related GTPases DIRAS1 and DIRAS2 induce autophagic cancer cell death and are required for autophagy in murine ovarian cancer cells. Autophagy. 14(4). 637–653. 46 indexed citations
16.
Ornelas, Argentina, Zhen Lü, Niki M. Zacharias, et al.. (2016). Induction of autophagy by ARHI (DIRAS3) alters fundamental metabolic pathways in ovarian cancer models. BMC Cancer. 16(1). 824–824. 24 indexed citations
17.
Sutton, Margie N., Zhen Lü, & Robert C. Bast. (2016). Abstract A43: DIRAS1 and DIRAS2 are tumor suppressor candidates that inhibit cell growth, motility, and proliferation while regulating autophagy in ovarian cancer.. Clinical Cancer Research. 22(2_Supplement). A43–A43. 1 indexed citations
18.
Morgado, Micaela, Margie N. Sutton, Mary Simmons, et al.. (2016). Tumor necrosis factor-α and interferon-γ stimulate MUC16 (CA125) expression in breast, endometrial and ovarian cancers through NFκB. Oncotarget. 7(12). 14871–14884. 44 indexed citations
19.
Orozco, Aaron, Margie N. Sutton, Hailing Yang, et al.. (2015). ARHI (DIRAS3)-mediated autophagy-associated cell death enhances chemosensitivity to cisplatin in ovarian cancer cell lines and xenografts. Cell Death and Disease. 6(8). e1836–e1836. 51 indexed citations
20.

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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