Peter G. Shields

23.0k citations
331 papers · 14.4k indexed · h-index 66

Impact in

Papers in

Peter G. Shields

323 papers receiving 13.9k citations

Peers

Peter G. Shields
Comparison fields: 5 of 199
  • Cancer Research 3.0k
  • Physiology 3.5k
  • Oncology 2.8k
  • Health, Toxicology and Mutagenesis 1.4k
  • Molecular Biology 6.4k
Replace Neil E. Caporaso with:
Neil E. Caporaso United States
Lynne R. Wilkens United States
Fang Fang China
Cornelia M. Ulrich United States
Loı̈c Le Marchand United States
Demetrius Albanes United States
Margaret R. Spitz United States
Lawrence H. Kushi United States
S. Jane Henley United States
Laurence N. Kolonel United States
Peter G. Shields relative to Neil E. Caporaso United States Neil E. Caporaso's profile →
Citations per field
00.5×1.5×
Neil E. Caporaso · 1×
Citations per year

Countries citing papers authored by Peter G. Shields

Since Specialization
Citations

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

Fields of papers citing papers by Peter G. Shields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter G. Shields. 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 Peter G. Shields. The network helps show where Peter G. Shields may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20234
4 20232
5 20237
6 20234
7 20235
8 202224
9 202217
10 20216
11 202012
12 201929
13 201611
14 2014142
15 200946
16 200922
17 200933
18 2006225
19
Polychlorinated biphenyls, cytochrome P4501A1 polymorphism, and postmenopausal breast cancer risk.
1999121
20
Theorizing policy: a framework for the study of U.S. telecommunications regulation /
19941

About Peter G. Shields

Peter G. Shields is a scholar working on Cancer Research, Physiology, Oncology, Health, Toxicology and Mutagenesis and Applied Psychology, having authored 331 papers that have together received 14.4k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (64 papers), Carcinogens and Genotoxicity Assessment (49 papers), Epigenetics and DNA Methylation (40 papers), Cancer Risks and Factors (31 papers), Glutathione Transferases and Polymorphisms (30 papers), DNA Repair Mechanisms (20 papers), Lung Cancer Treatments and Mutations (18 papers) and Nicotinic Acetylcholine Receptors Study (17 papers). The work is most often cited by research in Cancer Research (3.0k citations), Physiology (3.5k citations), Oncology (2.8k citations), Health, Toxicology and Mutagenesis (1.4k citations) and Molecular Biology (6.4k citations). Peter G. Shields has collaborated with scholars based in United States, Romania and Japan. Frequent co-authors include Elise D. Bowman, Jo L. Freudenheim, Curtis C. Harris, Christine B. Ambrosone, Neil E. Caporaso, Caryn Lerman, Janet Audrain, Neal R. Boyd, E. Paul Wileyto and David Main. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Cancer Research, Carcinogenesis, Journal of Clinical Oncology 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026