Rosemary Laughlin

1.8k citations
17 papers · 1.4k · h-index 13

Impact in

    • Antioxidant Activity and Oxidative Stress
  • Genetics top 5%
    • Estrogen and related hormone effects
    • BRCA gene mutations in cancer
    • Nutrition, Genetics, and Disease

Papers in

Rosemary Laughlin

17 papers receiving 1.4k citations

Peers

Rosemary Laughlin
Comparison fields: 5 of 100
  • Biochemistry 134
  • Genetics 433
  • Oncology 412
  • Cancer Research 219
  • Molecular Biology 661
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Citations per field
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Citations per year

Countries citing papers authored by Rosemary Laughlin

Since Specialization
Citations

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

Fields of papers citing papers by Rosemary Laughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosemary Laughlin. 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 Rosemary Laughlin. The network helps show where Rosemary Laughlin may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Manganese superoxide dismutase (MnSOD) genetic polymorphisms, dietary antioxidants, and risk of breast cancer.
1999325
2 1996268
3
Cytochrome P4501A1 and glutathione S-transferase (M1) genetic polymorphisms and postmenopausal breast cancer risk.
1995175
4
Genetic polymorphisms in catechol-O-methyltransferase, menopausal status, and breast cancer risk.
1998174
5 199889
6 199963
7 199455
8 199554
9 199753
10 199450
11 199747
12 199634
13 199529
14 199512
15 19957
16 19961
17 19941

About Rosemary Laughlin

Rosemary Laughlin is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Molecular Biology, Genetics and Physiology, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (7 papers), Cancer Risks and Factors (7 papers), Glutathione Transferases and Polymorphisms (3 papers), Diet and metabolism studies (3 papers), Alcohol Consumption and Health Effects (2 papers), Epigenetics and DNA Methylation (2 papers), BRCA gene mutations in cancer (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Biochemistry (134 citations), Genetics (433 citations), Oncology (412 citations), Cancer Research (219 citations) and Molecular Biology (661 citations). Rosemary Laughlin has collaborated with scholars based in United States. Frequent co-authors include Saxon Graham, Jo L. Freudenheim, James R. Marshall, Takuma Nemoto, John E. Vena, Christine B. Ambrosone, J E Vena, Peter G. Shields, John Brasure and Patricia A. Thompson. Their work appears in journals such as Nutrition and Cancer, American Journal of Epidemiology, Epidemiology, Cancer Causes & Control and JNCI Journal of the National Cancer Institute.

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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