W S Campbell

1.4k citations
14 papers · 1.1k indexed · h-index 13

W S Campbell

14 papers receiving 1.1k citations

Peers

W S Campbell
Comparison fields: 5 of 90
  • Oncology 407
  • Pathology and Forensic Medicine 248
  • Endocrinology, Diabetes and Metabolism 220
  • Reproductive Medicine 105
  • Genetics 329
Replace Richard J. Hershcopf with:
Richard J. Hershcopf United States
Charlene Franz United States
David W Purdie United Kingdom
R. Kaaks France
Bradley J. Christensen United States
Min Nie China
Anthony M. Frumar United States
S. M. Zhang United States
Daniel Ayalon Israel
Paul Novotny United States
W S Campbell relative to Richard J. Hershcopf United States Richard J. Hershcopf's profile →
Citations per field
00.5×4.3×
Richard J. Hershcopf · 1×
Citations per year

Countries citing papers authored by W S Campbell

Since Specialization
Citations

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

Fields of papers citing papers by W S Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W S Campbell. 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 W S Campbell. The network helps show where W S Campbell may publish in the future.

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 200448
2 200435
3 2001208
4 199756
5
Relation of prediagnostic serum estrogen and androgen levels to breast cancer risk.
1996187
6 199652
7 199566
8
Relationships of age and reproductive characteristics with plasma estrogens and androgens in premenopausal women.
199589
9 1993286
10 199225
11 19898
12 198921
13
Influence of dietary fat on menstrual cycle and menses length.
198714
14 198753

About W S Campbell

W S Campbell is a scholar working on Biochemistry, Public Health, Environmental and Occupational Health and Nutrition and Dietetics, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (6 papers), Diet and metabolism studies (4 papers), Estrogen and related hormone effects (3 papers), Cancer Risks and Factors (3 papers), Muscle metabolism and nutrition (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Oncology (407 citations), Pathology and Forensic Medicine (248 citations) and Endocrinology, Diabetes and Metabolism (220 citations). W S Campbell has collaborated with scholars based in United States and India. Frequent co-authors include J T Judd, Arthur Schatzkin, Christopher Longcope, Philip R. Taylor, Beverly A. Clevidence, Padmanabhan P. Nair, Joanne F. Dorgan, Marsha E. Reichman, Lisa Kahle and Joseph A. Tangrea. Their work appears in journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism 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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