Greg G. Oakley

2.8k total citations
44 papers, 2.3k citations indexed

About

Greg G. Oakley is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Greg G. Oakley has authored 44 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 17 papers in Cancer Research and 15 papers in Oncology. Recurrent topics in Greg G. Oakley's work include DNA Repair Mechanisms (29 papers), Carcinogens and Genotoxicity Assessment (17 papers) and Cancer-related Molecular Pathways (11 papers). Greg G. Oakley is often cited by papers focused on DNA Repair Mechanisms (29 papers), Carcinogens and Genotoxicity Assessment (17 papers) and Cancer-related Molecular Pathways (11 papers). Greg G. Oakley collaborates with scholars based in United States, Ireland and Australia. Greg G. Oakley's co-authors include Larry W. Robertson, Kathleen Dixon, Jason G. Glanzer, Ramesh C. Gupta, Steve M. Patrick, John J. Turchi, Jacob G. Robison, Shengqin Liu, J. Michael Elliott and Daniel W. Nebert and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Greg G. Oakley

44 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg G. Oakley United States 27 1.7k 560 498 267 245 44 2.3k
Patricio Aller Spain 30 1.7k 1.0× 384 0.7× 314 0.6× 239 0.9× 202 0.8× 82 2.5k
Peter J. Wirth United States 28 1.5k 0.9× 467 0.8× 652 1.3× 105 0.4× 269 1.1× 110 2.7k
G. Timothy Bowden United States 29 1.2k 0.7× 429 0.8× 477 1.0× 99 0.4× 235 1.0× 57 2.2k
Satya Narayan United States 33 2.1k 1.2× 906 1.6× 533 1.1× 90 0.3× 160 0.7× 143 3.3k
Lorenzo Citti Italy 25 1.7k 1.0× 330 0.6× 932 1.9× 122 0.5× 91 0.4× 98 2.5k
David M. Nelson United States 24 2.0k 1.2× 466 0.8× 211 0.4× 69 0.3× 180 0.7× 45 2.9k
Gerry P. Crossan United Kingdom 13 1.5k 0.9× 254 0.5× 523 1.1× 115 0.4× 171 0.7× 18 2.0k
Martin L. Wenk United States 23 913 0.5× 295 0.5× 461 0.9× 340 1.3× 100 0.4× 55 1.9k
Suresh B. Pakala United States 28 1.2k 0.7× 497 0.9× 333 0.7× 72 0.3× 118 0.5× 58 1.8k
Yoshiyuki Hashimoto Japan 26 1.0k 0.6× 465 0.8× 507 1.0× 171 0.6× 66 0.3× 119 2.3k

Countries citing papers authored by Greg G. Oakley

Since Specialization
Citations

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

Fields of papers citing papers by Greg G. Oakley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg G. Oakley. 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 Greg G. Oakley. The network helps show where Greg G. Oakley may publish in the future.

Co-authorship network of co-authors of Greg G. Oakley

This figure shows the co-authorship network connecting the top 25 collaborators of Greg G. Oakley. A scholar is included among the top collaborators of Greg G. Oakley 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 Greg G. Oakley. Greg G. Oakley 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.
Li, Xin, et al.. (2025). Targeting Aurora A to Overcome Cisplatin Resistance in Head and Neck Cancer. Journal of Dental Research. 104(5). 531–540. 1 indexed citations
2.
Oakley, Greg G., et al.. (2024). The effect of replication protein A inhibition and post-translational modification on ATR kinase signaling. Scientific Reports. 14(1). 19791–19791. 2 indexed citations
3.
Liu, Shengqin, et al.. (2023). Role of RPA Phosphorylation in the ATR-Dependent G2 Cell Cycle Checkpoint. Genes. 14(12). 2205–2205. 3 indexed citations
4.
Simhadri, Srilatha, Yanying Huo, Tzeh Keong Foo, et al.. (2018). PALB2 connects BRCA1 and BRCA2 in the G2/M checkpoint response. Oncogene. 38(10). 1585–1596. 39 indexed citations
5.
Oakley, Greg G., et al.. (2018). Replication protein A, the laxative that keeps DNA regular: The importance of RPA phosphorylation in maintaining genome stability. Seminars in Cell and Developmental Biology. 86. 112–120. 65 indexed citations
6.
Glanzer, Jason G., et al.. (2016). Identification of inhibitors for single-stranded DNA-binding proteins in eubacteria. Journal of Antimicrobial Chemotherapy. 71(12). 3432–3440. 22 indexed citations
7.
Glanzer, Jason G., et al.. (2016). In silico and in vitro methods to identify ebola virus VP35-dsRNA inhibitors. Bioorganic & Medicinal Chemistry. 24(21). 5388–5392. 15 indexed citations
8.
Glanzer, Jason G., et al.. (2014). RPA Inhibition Increases Replication Stress and Suppresses Tumor Growth. Cancer Research. 74(18). 5165–5172. 55 indexed citations
9.
Liu, Shengqin, et al.. (2014). Interplay of DNA damage and cell cycle signaling at the level of human replication protein A. DNA repair. 21. 12–23. 16 indexed citations
10.
Wilson, Timothy M., et al.. (2014). Phosphorylation and cellular function of the human Rpa2 N-terminus in the budding yeast Saccharomyces cerevisiae. Experimental Cell Research. 331(1). 183–199. 1 indexed citations
11.
Liu, Shuli, Stephen O. Opiyo, Karoline C. Manthey, et al.. (2012). Distinct roles for DNA-PK, ATM and ATR in RPA phosphorylation and checkpoint activation in response to replication stress. Nucleic Acids Research. 40(21). 10780–10794. 192 indexed citations
12.
Bharadwaj, Alamelu G., et al.. (2011). Hyaluronan suppresses prostate tumor cell proliferation through diminished expression of N-cadherin and aberrant growth factor receptor signaling. Experimental Cell Research. 317(8). 1214–1225. 16 indexed citations
13.
Liyanage, Namal P. M., Karoline C. Manthey, Rohana P. Dassanayake, et al.. (2010). Helicobacter hepaticus Cytolethal Distending Toxin Causes Cell Death in Intestinal Epithelial Cells via Mitochondrial Apoptotic Pathway. Helicobacter. 15(2). 98–107. 37 indexed citations
14.
Bharadwaj, Alamelu G., et al.. (2009). Spontaneous Metastasis of Prostate Cancer Is Promoted by Excess Hyaluronan Synthesis and Processing. American Journal Of Pathology. 174(3). 1027–1036. 115 indexed citations
15.
Cruet-Hennequart, Séverine, et al.. (2006). UV-induced RPA phosphorylation is increased in the absence of DNA polymerase η and requires DNA-PK. DNA repair. 5(4). 491–504. 26 indexed citations
16.
Shertzer, Howard G., Corey D. Clay, Mary Beth Genter, et al.. (2003). Uncoupling-mediated generation of reactive oxygen by halogenated aromatic hydrocarbons in mouse liver microsomes. Free Radical Biology and Medicine. 36(5). 618–631. 46 indexed citations
17.
Nebert, Daniel W., et al.. (2002). NAD(P)H:quinone oxidoreductase (NQO1) polymorphism, exposure to benzene, and predisposition to disease: A HuGE review. Genetics in Medicine. 4(2). 62–70. 150 indexed citations
18.
Carty, Michael P., et al.. (2001). Expression of ATM in ataxia telangiectasia fibroblasts rescues defects in DNA double‐strand break repair in nuclear extracts. Environmental and Molecular Mutagenesis. 37(2). 128–140. 11 indexed citations
19.
Oakley, Greg G., Jiaqin Yao, Mary Risinger, et al.. (2001). UV-induced Hyperphosphorylation of Replication Protein A Depends on DNA Replication and Expression of ATM Protein. Molecular Biology of the Cell. 12(5). 1199–1213. 79 indexed citations
20.
Oakley, Greg G., Larry W. Robertson, & Ramesh C. Gupta. (1996). Analysis of polychlorinated biphenyl-DNA adducts by 32P-postlabeling. Carcinogenesis. 17(1). 109–114. 72 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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