Ann Seifried

1.6k citations
14 papers · 1.3k · h-index 12

Impact in

Papers in

    • Glutathione Transferases and Polymorphisms 5
    • RNA modifications and cancer 2
    • Carcinogens and Genotoxicity Assessment 4
    • Cancer Genomics and Diagnostics 1

Ann Seifried

14 papers receiving 1.3k citations

Peers

Ann Seifried
Comparison fields: 5 of 91
  • Cancer Research 416
  • Pharmacology 113
  • Molecular Biology 878
  • Rheumatology 175
  • Toxicology 29
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Citations per year

Countries citing papers authored by Ann Seifried

Since Specialization
Citations

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

Fields of papers citing papers by Ann Seifried

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Associations of CYP1A1, GSTM1, and CYP2E1 polymorphisms with lung cancer suggest cell type specificities to tobacco carcinogens.
1998224
2
Association of the hOGG1 Ser326Cys polymorphism with lung cancer risk.
2002200
3 2002151
4
Combined effects of well-done red meat, smoking, and rapid N-acetyltransferase 2 and CYP1A2 phenotypes in increasing colorectal cancer risk.
2001137
5 2002116
6
Association of the NAD(P)H:quinone oxidoreductase 609C-->T polymorphism with a decreased lung cancer risk.
1999113
7
Association of the myeloperoxidase -463G-->a polymorphism with lung cancer risk.
200094
8
CYP1A1, GSTM1, and GSTP1 genetic polymorphisms and urinary 1-hydroxypyrene excretion in non-occupationally exposed individuals.
200079
9
Red meat intake, CYP2E1 genetic polymorphisms, and colorectal cancer risk.
200272
10 201349
11 201247
12
Relationships of TP53 codon 72 and HRAS1 polymorphisms with lung cancer risk in an ethnically diverse population.
200047
13 201210
14 20111

About Ann Seifried

Ann Seifried is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Genetics and Pathology and Forensic Medicine, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (5 papers), Carcinogens and Genotoxicity Assessment (4 papers), Genetic factors in colorectal cancer (3 papers), Nutritional Studies and Diet (3 papers), Nutrition, Genetics, and Disease (2 papers), RNA modifications and cancer (2 papers), Air Quality and Health Impacts (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (416 citations), Pharmacology (113 citations), Molecular Biology (878 citations), Rheumatology (175 citations) and Toxicology (29 citations). Ann Seifried has collaborated with scholars based in United States and Canada. Frequent co-authors include Lynne R. Wilkens, Loı̈c Le Marchand, Timothy A. Donlon, Annette Lum‐Jones, Laurence N. Kolonel, Jean H. Hankin, Alan F. Lau, Lakshmi Sivaraman, Lori J. Pierce and Wendy Chang. Their work appears in journals such as Genes Chromosomes and Cancer, Cancer Research, Journal of the Academy of Nutrition and Dietetics, PLoS ONE and Cancer Causes & Control.

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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