J E Vena

890 citations
6 papers · 754 · h-index 4

Impact in

  • Genetics top 10%
    • Estrogen and related hormone effects
    • BRCA gene mutations in cancer
    • Nutrition, Genetics, and Disease
    • Carcinogens and Genotoxicity Assessment

Papers in

    • Glutathione Transferases and Polymorphisms 2
    • Coenzyme Q10 studies and effects 1
    • Genomics, phytochemicals, and oxidative stress 1
    • Cancer Risks and Factors 1

J E Vena

6 papers receiving 710 citations

Peers

J E Vena
Comparison fields: 5 of 75
  • Genetics 254
  • Cancer Research 116
  • Molecular Biology 462
  • Pharmacology 53
  • Oncology 129
Replace Han Yao Huang with:
Han Yao Huang United States
Cynthia Martucci United States
T.C. Aldridge United Kingdom
G Berge Norway
Hironobu Okugi Japan
Carolyn D. DuSell United States
Monica Antenos Canada
Adele Traina Italy
Elin S. Agoston United States
J. Schneider United States
J E Vena relative to Han Yao Huang United States Han Yao Huang's profile →
Citations per field
00.5×1.6×
Han Yao Huang · 1×
Citations per year

Countries citing papers authored by J E Vena

Since Specialization
Citations

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

Fields of papers citing papers by J E Vena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J E Vena. 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 J E Vena. The network helps show where J E Vena may publish in the future.

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Manganese superoxide dismutase (MnSOD) genetic polymorphisms, dietary antioxidants, and risk of breast cancer.
1999335
2
Genetic polymorphisms in catechol-O-methyltransferase, menopausal status, and breast cancer risk.
1998182
3
Cytochrome P4501A1 and glutathione S-transferase (M1) genetic polymorphisms and postmenopausal breast cancer risk.
1995182
4 199753
5 19941
6 19981

About J E Vena

J E Vena is a scholar working on Molecular Biology, Oncology, Genetics, Public Health, Environmental and Occupational Health and Physiology, having authored 6 papers that have together received 754 indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (2 papers), Diet and metabolism studies (1 paper), Coenzyme Q10 studies and effects (1 paper), Estrogen and related hormone effects (1 paper), Digestive system and related health (1 paper), Nutrition, Genetics, and Disease (1 paper), Cancer Risks and Factors (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Genetics (254 citations), Cancer Research (116 citations), Molecular Biology (462 citations), Pharmacology (53 citations) and Oncology (129 citations). J E Vena has collaborated with scholars based in United States. Frequent co-authors include Saxon Graham, Jo L. Freudenheim, Rosemary Laughlin, James R. Marshall, Christine B. Ambrosone, Peter G. Shields, Takuma Nemoto, Patricia A. Thompson, Elise D. Bowman and James R. Marshall. Their work appears in journals such as American Journal of Epidemiology, Maturitas, Epidemiology and PubMed.

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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