Peter Yong

1.0k citations
9 papers · 272 · h-index 8

Impact in

Papers in

Peter Yong

9 papers receiving 265 citations

Peers

Peter Yong
Comparison fields: 5 of 54
  • Reproductive Medicine 138
  • Public Health, Environmental and Occupational Health 116
  • Endocrinology, Diabetes and Metabolism 64
  • Pediatrics, Perinatology and Child Health 65
  • Behavioral Neuroscience 9
Replace Emmanuelle Martinot with:
Emmanuelle Martinot France
Prashanth Anamthathmakula United States
Do Won Hahn United States
Zoe C Johnston United Kingdom
Sheena L.P. Regan Australia
Veysel Fenkçi Türkiye
D. W. Cramer United States
Rogerio A. Lobo United States
S. Sadrzadeh Netherlands
Ferran Barrachina Spain
Peter Yong relative to Emmanuelle Martinot France Emmanuelle Martinot's profile →
Citations per field
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Emmanuelle Martinot · 1×
Citations per year

Countries citing papers authored by Peter Yong

Since Specialization
Citations

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

Fields of papers citing papers by Peter Yong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 200362
2 200247
3 200346
4 200044
5 202224
6 202319
7 202318
8 202311
9 19961

About Peter Yong

Peter Yong is a scholar working on Molecular Biology, Infectious Diseases, Pediatrics, Perinatology and Child Health, Animal Science and Zoology and Epidemiology, having authored 9 papers that have together received 272 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Reproductive Biology and Fertility (2 papers), Hormonal Regulation and Hypertension (2 papers), Adipose Tissue and Metabolism (2 papers), Ovarian function and disorders (2 papers), Apelin-related biomedical research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Reproductive Medicine (138 citations), Public Health, Environmental and Occupational Health (116 citations), Endocrinology, Diabetes and Metabolism (64 citations), Pediatrics, Perinatology and Child Health (65 citations) and Behavioral Neuroscience (9 citations). Peter Yong has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include K.J. Thong, David T. Baird, Alan S. McNeilly, Richard A. Anderson, Brian R. Walker, Ruth Andrew, Stephen G. Hillier, David Bernlohr, Setu M. Vora and Deborah M. Dickey. Their work appears in journals such as Human Reproduction, Molecular Cancer Research, Endocrinology, Nature Communications and Cell Reports.

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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