Peter R. Smith

61 papers receiving 2.9k citations

Peers

Peter R. Smith
Comparison fields: 5 of 70
  • Agronomy and Crop Science 1k
  • Public Health, Environmental and Occupational Health 1.6k
  • Reproductive Medicine 396
  • Physiology 88
  • Genetics 593
Replace Robert G. Cowan with:
Robert G. Cowan United States
Pablo Bermejo‐Álvarez Spain
Marc Antoine Driancourt France
Philippe Mulsant France
C. Perreau France
Wenge Ma China
H. R. Sawyer United States
Salvatore Naitana Italy
Paulino de Paz Spain
Giovanni Giuseppe Leoni Italy
Peter R. Smith relative to Robert G. Cowan United States Robert G. Cowan's profile →
Citations per field
00.5×2×3×4×4.6×
Robert G. Cowan · 1×
Citations per year

Countries citing papers authored by Peter R. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Peter R. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002268
2 2002183
3 1999160
4 2004137
5 2005126
6 2004121
7 2000116
8 2008105
9 199595
10 199789
11 200289
12 199382
13 198675
14 201175
15 198774
16 199974
17 200473
18 200571
19 200670
20 201470

About Peter R. Smith

Peter R. Smith is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Reproductive Medicine, Genetics and Health, Toxicology and Mutagenesis, having authored 63 papers that have together received 3k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (41 papers), Reproductive Biology and Fertility (37 papers), Genetic and phenotypic traits in livestock (8 papers), Hypothalamic control of reproductive hormones (6 papers), Ovarian function and disorders (4 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Sexual Differentiation and Disorders (2 papers). The work is most often cited by research in Agronomy and Crop Science (1k citations), Public Health, Environmental and Occupational Health (1.6k citations), Reproductive Medicine (396 citations), Physiology (88 citations) and Genetics (593 citations). Peter R. Smith has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include N. L. Hudson, Jennifer L. Juengel, Derek A. Heath, K. P. McNatty, Kenneth P. McNatty, Anne R. O’Connell, K. P. McNatty, David J. Tisdall, Laurel D. Quirke and Karen L. Reader. Their work appears in journals such as Reproduction, Biology of Reproduction, Journal of Molecular Endocrinology, Animal Reproduction Science and Molecular and Cellular Endocrinology.

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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