Peter Y. Cheng

706 citations
21 papers · 589 · h-index 11

Impact in

Papers in

Peter Y. Cheng

20 papers receiving 579 citations

Peers

Peter Y. Cheng
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 415
  • Physiology 240
  • Behavioral Neuroscience 30
  • Endocrine and Autonomic Systems 37
  • Molecular Biology 281
Replace Yu‐Zhen Pan with:
Yu‐Zhen Pan United States
Perrine Inquimbert France
Igor V. Melnick Ukraine
C.A. Doyle United Kingdom
V. Fardin France
Norifumi Yonehara Japan
C. Dykstra United States
K.I. Rusin United States
Kelly J. Powell Canada
Volker Neugebauer United States
Peter Y. Cheng relative to Yu‐Zhen Pan United States Yu‐Zhen Pan's profile →
Citations per field
00.5×1.5×1.9×
Yu‐Zhen Pan · 1×
Citations per year

Countries citing papers authored by Peter Y. Cheng

Since Specialization
Citations

This map shows the geographic impact of Peter Y. Cheng'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. Cheng 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. Cheng more than expected).

Fields of papers citing papers by Peter Y. Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199785
2 199665
3 199664
4 199763
5 199659
6 199348
7 199543
8 200038
9 201538
10 199430
11 199516
12
[Sequential BiPAP following invasive mechanical ventilation in COPD patients with hypercapnic respiratory failure].
20017
13 19956
14 20005
15 19965
16 19925
17 19945
18 19973
19 19942
20 19912

About Peter Y. Cheng

Peter Y. Cheng is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Endocrine and Autonomic Systems and Surgery, having authored 21 papers that have together received 589 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (7 papers), Pain Mechanisms and Treatments (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Neuroscience of respiration and sleep (3 papers), Neuroendocrine regulation and behavior (2 papers) and Anesthesia and Pain Management (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (415 citations), Physiology (240 citations), Behavioral Neuroscience (30 citations), Endocrine and Autonomic Systems (37 citations) and Molecular Biology (281 citations). Peter Y. Cheng has collaborated with scholars based in United States, Belgium and China. Frequent co-authors include Virginia M. Pickel, Akiyoshi Moriwaki, George R. Uhl, Lee‐Yuan Liu‐Chen, Hazel H. Szeto, Sue A. Aicher, Sarita Sharma, Adena L. Svingos, Yasemin M. Akay and Metin Akay. Their work appears in journals such as Brain Research, Biological Cybernetics, European Journal of Pharmacology, Pharmacology Biochemistry and Behavior and Pediatric Research.

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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