Peter Y. Liu

8.0k citations
111 papers · 5.8k indexed · 2 hit papers · h-index 39
Topics
Hormonal and reproductive studies (52 papers)Obstructive Sleep Apnea Research (23 papers)Sexual Differentiation and Disorders (18 papers)
Journals
The LancetNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Peter Y. Liu

109 papers receiving 5.6k citations

Hit Papers

Sleep Apnea as an Independent Risk Factor for All-Cause M...200320262010201820082003200400600

Peers

Peter Y. Liu
Comparison fields: 5 of 136
  • Endocrinology, Diabetes and Metabolism 2.4k
  • Physiology 2.0k
  • Endocrine and Autonomic Systems 1.5k
  • Molecular Biology 1.1k
  • Reproductive Medicine 1.1k
Replace Gail A. Laughlin with:
Gail A. Laughlin United States
Kevin L. Grove United States
Valentina Vicennati Italy
Marijke Frölich Netherlands
Mark L. Hartman United States
Fabio Broglio Italy
Kazuhito Totsune Japan
David A. Ehrmann United States
Gladys Strain United States
S. S. C. YEN United States
Peter Y. Liu relative to Gail A. Laughlin United States Gail A. Laughlin's profile →
Citations per field
00.5×1.5×
Gail A. Laughlin · 1×
Citations per year

Countries citing papers authored by Peter Y. Liu

Since Specialization
Citations

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

Fields of papers citing papers by Peter Y. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Y. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Y. Liu. A scholar is included among the top collaborators of Peter Y. Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Y. Liu. Peter Y. Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 10
3 9
4 6
5 11
6 101
7 34
8 15
9 180
10 106
11 30
12 79
13 49
14 86
15 10
16 111
17 22
18 8
19 29
20 42

About Peter Y. Liu

Peter Y. Liu is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 111 papers that have together received 5.8k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (52 papers), Obstructive Sleep Apnea Research (23 papers) and Sexual Differentiation and Disorders (18 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.5k citations), Endocrinology, Diabetes and Metabolism (2.4k citations) and Reproductive Medicine (1.1k citations). Peter Y. Liu has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David J. Handelsman, Ronald R. Grunstein, Alison K. Death, Nathaniel S. Marshall, Keith Wong, Matthew Knuiman, Johannes D. Veldhuis, Brendon J. Yee, Craig L. Phillips and Ronald S. Swerdloff. Their work appears in journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

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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