J E Vena
Impact in
- Genetics top 10%
- Estrogen and related hormone effects
- BRCA gene mutations in cancer
- Nutrition, Genetics, and Disease
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- Carcinogens and Genotoxicity Assessment
Papers in ⓘ
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- Glutathione Transferases and Polymorphisms 2
- Coenzyme Q10 studies and effects 1
- Oncology 2
- Cancer Treatment and Pharmacology 1
- Cancer Risks and Factors 1
- Co-authors
- Jo L. Freudenheim (6 shared papers)Saxon Graham (5 shared papers)Rosemary Laughlin (5 shared papers)James R. Marshall (2 shared papers)Peter G. Shields (3 shared papers)Patricia A. Thompson (2 shared papers)Christine B. Ambrosone (2 shared papers)Takuma Nemoto (2 shared papers)
- Journals
- Maturitas (1 paper)Epidemiology (1 paper)American Journal of Epidemiology (1 paper)PubMed (3 papers)
- Partner nations
- United States
In The Last Decade
J E Vena
6 papers receiving 689 citations
Peers
Comparison fields: 5 of 79
- Genetics 276
- Cancer Research 117
- Molecular Biology 482
- Pharmacology 61
- Biochemistry 36
Countries citing papers authored by J E Vena
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Manganese superoxide dismutase (MnSOD) genetic polymorphisms, dietary antioxidants, and risk of breast cancer. | 1999 | 325 |
| 2 | Cytochrome P4501A1 and glutathione S-transferase (M1) genetic polymorphisms and postmenopausal breast cancer risk. | 1995 | 175 |
| 3 | Genetic polymorphisms in catechol-O-methyltransferase, menopausal status, and breast cancer risk. | 1998 | 174 |
| 4 | 1997 | 47 | |
| 5 | 1994 | 1 | |
| 6 | 1998 | 1 |
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 723 indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (2 papers), Cancer Treatment and Pharmacology (1 paper), Coenzyme Q10 studies and effects (1 paper), Estrogen and related hormone effects (1 paper), Digestive system and related health (1 paper), Nutritional Studies and Diet (1 paper), Diet and metabolism studies (1 paper) and Cancer Risks and Factors (1 paper). The work is most often cited by research in Genetics (276 citations), Cancer Research (117 citations), Molecular Biology (482 citations), Pharmacology (61 citations) and Biochemistry (36 citations). J E Vena has collaborated with scholars based in United States. Frequent co-authors include Jo L. Freudenheim, Saxon Graham, Rosemary Laughlin, James R. Marshall, Peter G. Shields, Patricia A. Thompson, Christine B. Ambrosone, Takuma Nemoto, Elise D. Bowman and James R. Marshall. Their work appears in journals such as Maturitas, Epidemiology, American Journal of 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.