Chaoying Li
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
Papers in
-
- Ion channel regulation and function 5
- Pharmacological Receptor Mechanisms and Effects 1
-
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Robert W. Peoples (6 shared papers)Forrest F. Weight (5 shared papers)Zhigui Li (1 shared paper)Jin Zhai (1 shared paper)Kevin Galley (1 shared paper)Christine E. Bear (1 shared paper)Elizabeth Garami (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Neuroreport (1 paper)The Journal of Physiology (1 paper)Pflügers Archiv - European Journal of Physiology (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Chaoying Li
7 papers receiving 343 citations
Peers
Comparison fields: 5 of 63
- Physiology 143
- Endocrine and Autonomic Systems 92
- Cellular and Molecular Neuroscience 161
- Molecular Biology 181
- Neurology 19
Countries citing papers authored by Chaoying Li
This map shows the geographic impact of Chaoying Li'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 Chaoying Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoying Li more than expected).
Fields of papers citing papers by Chaoying Li
This network shows the impact of papers produced by Chaoying Li. 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 Chaoying Li. The network helps show where Chaoying Li may publish in the future.
Co-authors
The 7 scholars most cited alongside Chaoying Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 102 | |
| 2 | 1993 | 96 | |
| 3 | 1999 | 47 | |
| 4 | 1997 | 37 | |
| 5 | 1998 | 31 | |
| 6 | 1996 | 30 | |
| 7 | 1999 | 12 |
About Chaoying Li
Chaoying Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Nutrition and Dietetics and Endocrine and Autonomic Systems, having authored 7 papers that have together received 355 indexed citations. Recurring topics across this work include Ion channel regulation and function (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Adenosine and Purinergic Signaling (3 papers), Pharmacological Receptor Mechanisms and Effects (1 paper), Vagus Nerve Stimulation Research (1 paper), Trace Elements in Health (1 paper), Neonatal Respiratory Health Research (1 paper) and Neuroscience of respiration and sleep (1 paper). The work is most often cited by research in Physiology (143 citations), Endocrine and Autonomic Systems (92 citations), Cellular and Molecular Neuroscience (161 citations), Molecular Biology (181 citations) and Neurology (19 citations). Chaoying Li has collaborated with scholars based in United States and Canada. Frequent co-authors include Robert W. Peoples, Forrest F. Weight, Zhigui Li, Jin Zhai, Kevin Galley, Christine E. Bear and Elizabeth Garami. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuroreport, The Journal of Physiology, Pflügers Archiv - European Journal of Physiology and Methods in enzymology on CD-ROM/Methods in enzymology.
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.