Greg G. Oakley

2.8k citations
44 papers · 2.3k · h-index 27

Impact in

    • Carcinogens and Genotoxicity Assessment
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • DNA and Nucleic Acid Chemistry

Papers in

    • DNA Repair Mechanisms 29
    • Mitochondrial Function and Pathology 5
    • DNA and Nucleic Acid Chemistry 4
    • Carcinogens and Genotoxicity Assessment 17

Greg G. Oakley

44 papers receiving 2.2k citations

Peers

Greg G. Oakley
Comparison fields: 5 of 113
  • Cancer Research 498
  • Molecular Biology 1.7k
  • Oncology 560
  • Health, Toxicology and Mutagenesis 267
  • Toxicology 65
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F. Palitti Italy
Patricio Aller Spain
Satya Narayan United States
Stephen D. Fox United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Greg G. Oakley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Greg G. Oakley Line = papers co-authored together Greg G. Oakley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012192
2 2002150
3 1996149
4 2010145
5 2004123
6 1996122
7 2009115
8 2003108
9 201499
10 200179
11 199672
12 200568
13 201267
14 201865
15 201455
16 201555
17 200551
18 200950
19 200346
20 201839

About Greg G. Oakley

Greg G. Oakley is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Genetics, having authored 44 papers that have together received 2.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (29 papers), Carcinogens and Genotoxicity Assessment (17 papers), Cancer-related Molecular Pathways (11 papers), Bacterial Genetics and Biotechnology (6 papers), Microtubule and mitosis dynamics (6 papers), Mitochondrial Function and Pathology (5 papers), DNA and Nucleic Acid Chemistry (4 papers) and PARP inhibition in cancer therapy (3 papers). The work is most often cited by research in Cancer Research (498 citations), Molecular Biology (1.7k citations), Oncology (560 citations), Health, Toxicology and Mutagenesis (267 citations) and Toxicology (65 citations). Greg G. Oakley has collaborated with scholars based in United States, Ireland and Australia. Frequent 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. Their work appears in journals such as Biochemistry, DNA repair, Nucleic Acids Research, Scientific Reports and Environmental and Molecular Mutagenesis.

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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