Peter D. Feil

34 papers receiving 1.5k citations

Peers

Peter D. Feil
Comparison fields: 5 of 61
  • Genetics 1.3k
  • Cancer Research 143
  • Reproductive Medicine 66
  • Endocrinology, Diabetes and Metabolism 106
  • Obstetrics and Gynecology 55
Replace Susan M. Langan-Fahey with:
Susan M. Langan-Fahey United States
Taisuke Nakata Japan
B.‐L. Nguyen France
Yukishige Nishino Germany
M C Feinstein France
Nicole Legros Belgium
Pierre-André Briand Switzerland
Hiroki Hata Japan
Thomas J. Berrodin United States
Yves Lachance Canada
Peter D. Feil relative to Susan M. Langan-Fahey United States Susan M. Langan-Fahey's profile →
Citations per field
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Susan M. Langan-Fahey · 1×
Citations per year

Countries citing papers authored by Peter D. Feil

Since Specialization
Citations

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

Fields of papers citing papers by Peter D. Feil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984368
2 1972213
3 1987124
4 1987121
5 1983118
6 1974116
7 1986104
8 198673
9
Promotion by prolactin of the growth of human breast neoplasms cultured in vitro in the soft agar clonogenic assay.
198654
10 198851
11
Autocrine stimulation by estradiol-regulated growth factors of rat hormone-responsive mammary cancer: interaction with the polyamine pathway.
198637
12
Progesterone receptor and regulation of progestin action in mammalian tissues.
197833
13 197726
14 197921
15 198721
16
Progesterone receptor structure and protease activity in primary human endometrial carcinoma.
198821
17 197619
18 198318
19 198317
20 198917

About Peter D. Feil

Peter D. Feil is a scholar working on Genetics, Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Reproductive Medicine, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (28 papers), Endometrial and Cervical Cancer Treatments (3 papers), Polyamine Metabolism and Applications (2 papers), Melanoma and MAPK Pathways (1 paper), Oral health in cancer treatment (1 paper), Reproductive Health and Contraception (1 paper), Cancer Cells and Metastasis (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Genetics (1.3k citations), Cancer Research (143 citations), Reproductive Medicine (66 citations), Endocrinology, Diabetes and Metabolism (106 citations) and Obstetrics and Gynecology (55 citations). Peter D. Feil has collaborated with scholars based in United States. Frequent co-authors include Richard J. Santen, Steven J. Santner, C. Wayne Bardin, PONDICHERY G. SATYASWAROOP, Christine L. Clarke, Stanley R. Glasser, Bert W. O’Malley, David O. Toft, Andrea Manni and Carol A. Wright. Their work appears in journals such as Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Steroids, Cell Biochemistry and Function and Annals of the New York Academy of Sciences.

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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