Garth Powis

27.3k total citations · 3 hit papers
388 papers, 22.2k citations indexed

About

Garth Powis is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Garth Powis has authored 388 papers receiving a total of 22.2k indexed citations (citations by other indexed papers that have themselves been cited), including 265 papers in Molecular Biology, 57 papers in Oncology and 53 papers in Cancer Research. Recurrent topics in Garth Powis's work include Redox biology and oxidative stress (69 papers), PI3K/AKT/mTOR signaling in cancer (48 papers) and Protein Kinase Regulation and GTPase Signaling (45 papers). Garth Powis is often cited by papers focused on Redox biology and oxidative stress (69 papers), PI3K/AKT/mTOR signaling in cancer (48 papers) and Protein Kinase Regulation and GTPase Signaling (45 papers). Garth Powis collaborates with scholars based in United States, United Kingdom and Sweden. Garth Powis's co-authors include Debbie J. Mustacich, Mei Yee Koh, W.R. Montfort, Ryan Williams, Alfred Gallegos, Peter A. Southorn, D. Lynn Kirkpatrick, Lynn Kirkpatrick, Margaret M. Briehl and Sarah J. Welsh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Garth Powis

381 papers receiving 21.5k citations

Hit Papers

Wortmannin, a potent and selective inhibitor of phosphati... 1994 2026 2004 2015 1994 2015 2000 200 400 600

Peers

Garth Powis
Ian A. Blair United States
Larry W. Oberley United States
Harvey R. Herschman United States
Michael C. Phillips United States
C. Roland Wolf United Kingdom
Gerald M. Cohen United Kingdom
Raymond N. DuBois United States
Chinthalapally V. Rao United States
Ian A. Blair United States
Garth Powis
Citations per year, relative to Garth Powis Garth Powis (= 1×) peers Ian A. Blair

Countries citing papers authored by Garth Powis

Since Specialization
Citations

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

Fields of papers citing papers by Garth Powis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garth Powis

This figure shows the co-authorship network connecting the top 25 collaborators of Garth Powis. A scholar is included among the top collaborators of Garth Powis 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 Garth Powis. Garth Powis 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.
Ihle, Nathan T., Geoffrey Grandjean, Michael J. Scott, et al.. (2019). An Inhibitor of the Pleckstrin Homology Domain of CNK1 Selectively Blocks the Growth of Mutant KRAS Cells and Tumors. Cancer Research. 79(12). 3100–3111. 23 indexed citations
2.
Lemos, Robert, Guillermina Garcia, Brian P. James, et al.. (2019). Absence of HIF1A Leads to Glycogen Accumulation and an Inflammatory Response That Enables Pancreatic Tumor Growth. Cancer Research. 79(22). 5839–5848. 24 indexed citations
3.
Κατσιαμπούρα, Αναστασία, Kanwal Raghav, Zhi-Qin Jiang, et al.. (2017). Modeling of Patient-Derived Xenografts in Colorectal Cancer. Molecular Cancer Therapeutics. 16(7). 1435–1442. 38 indexed citations
4.
Grandjean, Geoffrey, Petrus R. de Jong, Brian P. James, et al.. (2016). Definition of a Novel Feed-Forward Mechanism for Glycolysis-HIF1α Signaling in Hypoxic Tumors Highlights Aldolase A as a Therapeutic Target. Cancer Research. 76(14). 4259–4269. 68 indexed citations
5.
Tchoghandjian, Aurélie, Mei Yee Koh, David Taïeb, et al.. (2016). Hypoxia-associated factor expression in low-grade and anaplastic gliomas: a marker of poor outcome. Oncotarget. 0(0). 4 indexed citations
6.
Kopetz, Scott, Jayesh Desai, Emily Chan, et al.. (2015). Phase II Pilot Study of Vemurafenib in Patients With Metastatic BRAF -Mutated Colorectal Cancer. Journal of Clinical Oncology. 33(34). 4032–4038. 513 indexed citations breakdown →
7.
Kim, Jeong‐Min, Hei‐Cheul Jeung, Sun Young Rha, et al.. (2014). The Effect of Disintegrin–Metalloproteinase ADAM9 in Gastric Cancer Progression. Molecular Cancer Therapeutics. 13(12). 3074–3085. 40 indexed citations
8.
Nam, Seungyoon, Hong Chang, Kyong‐Tai Kim, et al.. (2014). PATHOME: an algorithm for accurately detecting differentially expressed subpathways. Oncogene. 33(41). 4941–4951. 51 indexed citations
9.
Spivak-Kroizman, Taly R., Galen Hostetter, Richard G. Posner, et al.. (2013). Hypoxia Triggers Hedgehog-Mediated Tumor–Stromal Interactions in Pancreatic Cancer. Cancer Research. 73(11). 3235–3247. 163 indexed citations
10.
Kim, Yon Hui, Han Liang, Xiuping Liu, et al.. (2012). AMPKα Modulation in Cancer Progression: Multilayer Integrative Analysis of the Whole Transcriptome in Asian Gastric Cancer. Cancer Research. 72(10). 2512–2521. 79 indexed citations
11.
Mao, Muling, Feng Tian, John M. Mariadason, et al.. (2012). Resistance to BRAF Inhibition in BRAF-Mutant Colon Cancer Can Be Overcome with PI3K Inhibition or Demethylating Agents. Clinical Cancer Research. 19(3). 657–667. 235 indexed citations
12.
Koh, Mei Yee, Robert Lemos, Xiuping Liu, & Garth Powis. (2011). The Hypoxia-Associated Factor Switches Cells from HIF-1α- to HIF-2α-Dependent Signaling Promoting Stem Cell Characteristics, Aggressive Tumor Growth and Invasion. Cancer Research. 71(11). 4015–4027. 276 indexed citations
13.
Song, Zuohe, Lei Du‐Cuny, Li Zhou, et al.. (2009). In vitro and In vivo Activity of Novel Small-Molecule Inhibitors Targeting the Pleckstrin Homology Domain of Protein Kinase B/AKT. Cancer Research. 69(12). 5073–5081. 48 indexed citations
14.
Koh, Mei Yee, Taly R. Spivak-Kroizman, Sara Venturini, et al.. (2008). Molecular mechanisms for the activity of PX-478, an antitumor inhibitor of the hypoxia-inducible factor-1α. Molecular Cancer Therapeutics. 7(1). 90–100. 242 indexed citations
15.
Koh, Mei Yee & Garth Powis. (2006). Leukemogenic Nup98-homeobox fusion proteins are targeted to a novel nuclear compartment and cause mistargeting of endogenous Nup98. Cancer Research. 66. 409–409. 3 indexed citations
16.
Powis, Garth, John A. Hickman, Paul Workman, et al.. (1990). The Cell Membrane and Cell Signals as Targets in Cancer Chemotherapy AACR, EORTC, and BACR Special Conference in Cancer Research. Cancer Research. 50(7). 2203–2211. 7 indexed citations
17.
Powis, Garth & Russell A. Prough. (1987). Metabolism and action of anti-cancer drugs. Taylor & Francis eBooks. 142 indexed citations
18.
Long, Harry J., Garth Powis, Atsuko Schütt, & C G Moertel. (1987). Phase I and pharmacokinetic study of menogaril administered as a 72-hour continuous i.v. infusion.. PubMed. 71(6). 593–8. 6 indexed citations
19.
Schenkman, John B. & Garth Powis. (1976). Active oxygen in hepatic microsomes. 18(2). 1 indexed citations
20.
Blakeley, A G, Garth Powis, & Roger J. Summers. (1973). Uptake of (L) noradrenaline in the isolated cat heart perfused with blood containing desmethylimipramine (DMI) and 17 β oestradiol (17βO). The Journal of Physiology. 234(2). 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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