LaVerne A. Mooney

1.8k citations
29 papers · 1.3k indexed · h-index 16

LaVerne A. Mooney

29 papers receiving 1.3k citations

Peers

LaVerne A. Mooney
Comparison fields: 5 of 128
  • Cancer Research 478
  • Health, Toxicology and Mutagenesis 280
  • Pharmacology 112
  • Biochemistry 67
  • Molecular Biology 520
Replace Jose E. Castelao with:
Jose E. Castelao United States
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Citations per year

Countries citing papers authored by LaVerne A. Mooney

Since Specialization
Citations

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

Fields of papers citing papers by LaVerne A. Mooney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by LaVerne A. Mooney. 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 LaVerne A. Mooney. The network helps show where LaVerne A. Mooney may publish in the future.

Co-authorship network

The 25 scholars most cited alongside LaVerne A. Mooney, 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 LaVerne A. Mooney Line = papers co-authored together LaVerne A. Mooney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20213
2 20167
3 2015236
4 201230
5 201028
6 20106
7 200726
8 200710
9 200513
10 200558
11 200340
12
The interaction between alcohol consumption and GSTM1 genotype on polycyclic aromatic hydrocarbon-DNA adduct levels in breast tissue.
200315
13 200169
14
Gender differences in autoantibodies to oxidative DNA base damage in cigarette smokers.
200147
15
Serum autoantibodies recognizing 5-hydroxymethyl-2'-deoxyuridine, an oxidized DNA base, as biomarkers of cancer risk in women.
199857
16 1997116
17 199628
18 19964
19 19966
20 199357

About LaVerne A. Mooney

LaVerne A. Mooney is a scholar working on Information Systems and Management, Pharmacology, Cancer Research, Statistics, Probability and Uncertainty and Biochemistry, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (10 papers), Glutathione Transferases and Polymorphisms (6 papers), Academic Publishing and Open Access (5 papers), Pharmaceutical industry and healthcare (5 papers), Meta-analysis and systematic reviews (4 papers), Antioxidant Activity and Oxidative Stress (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (478 citations), Health, Toxicology and Mutagenesis (280 citations), Pharmacology (112 citations), Biochemistry (67 citations) and Molecular Biology (520 citations). LaVerne A. Mooney has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Frederica P. Perera, Deliang Tang, Andrew Rundle, David H. Phillips, Krystyna Frenkel, Robin M. Whyatt, Regina M. Santella, Wei‐Yann Tsai, Ruth Ottman and Alan Hewer. Their work appears in journals such as Carcinogenesis, Biomarkers, Environmental Health Perspectives, Current Medical Research and Opinion and Cancer Epidemiology Biomarkers & Prevention.

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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