D. E. Prentice

496 citations
7 papers · 350 · h-index 7

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

D. E. Prentice

7 papers receiving 328 citations

Peers

D. E. Prentice
Comparison fields: 5 of 89
  • Aging 26
  • Hepatology 57
  • Cancer Research 72
  • Small Animals 26
  • Health, Toxicology and Mutagenesis 44
Replace Eduardo Hideo Gilglioni with:
Eduardo Hideo Gilglioni Brazil
Mamoru Mutai Japan
Saori Matsuo Japan
Zhaoping Yan United States
Svetlana Ivanović‐Matić Serbia
Felice A. de Jong Australia
Xiaoxia Yang China
Isabel Veloso Alves Pereira Brazil
Nibhriti Das India
D. E. Prentice relative to Eduardo Hideo Gilglioni Brazil Eduardo Hideo Gilglioni's profile →
Citations per field
00.5×10×13×
Eduardo Hideo Gilglioni · 1×
Citations per year

Countries citing papers authored by D. E. Prentice

Since Specialization
Citations

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

Fields of papers citing papers by D. E. Prentice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside D. E. Prentice, 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 D. E. Prentice Line = papers co-authored together D. E. Prentice links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 198789
2 199775
3 199569
4 199556
5 199131
6 199223
7
Glycoprotein hormone alpha-subunit-producing pituitary adenomas in rats treated for one year with calcitonin.
19927

About D. E. Prentice

D. E. Prentice is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 350 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (1 paper), Sperm and Testicular Function (1 paper), Immunotoxicology and immune responses (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper), Hormonal and reproductive studies (1 paper), Liver physiology and pathology (1 paper), Sexual Differentiation and Disorders (1 paper) and Birth, Development, and Health (1 paper). The work is most often cited by research in Aging (26 citations), Hepatology (57 citations), Cancer Research (72 citations), Small Animals (26 citations) and Health, Toxicology and Mutagenesis (44 citations). D. E. Prentice has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include C. Gopinath, D. J. Lewis, Debra Lynch Kelly, F. J. C. Roe, B.E. Matter, Peter Lee, G. Tobin, John Napoli, Gail A. Bishop and Geoffrey W. McCaughan. Their work appears in journals such as Human & Experimental Toxicology, Food and Chemical Toxicology, Hepatology, Archives of toxicology. Supplement and PubMed.

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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