Yi Cui

1.8k citations
23 papers · 962 · h-index 15

Impact in

Papers in

Yi Cui

22 papers receiving 943 citations

Peers

Yi Cui
Comparison fields: 5 of 100
  • Cardiology and Cardiovascular Medicine 636
  • Cellular and Molecular Neuroscience 238
  • Physiology 52
  • Molecular Biology 640
  • Sensory Systems 30
Replace Najah Abi‐Gerges with:
Najah Abi‐Gerges United Kingdom
Stefano Morotti United States
Jośe L. Puglisi United States
Ksenia Blinova United States
Karel Van Ammel Belgium
Kevin J. Sampson United States
Elisa Passini United Kingdom
Donglin Guo China
Daisuke Sato United States
Oliver J. Britton United Kingdom
Yi Cui relative to Najah Abi‐Gerges United Kingdom Najah Abi‐Gerges's profile →
Citations per field
00.5×5.8×
Najah Abi‐Gerges · 1×
Citations per year

Countries citing papers authored by Yi Cui

Since Specialization
Citations

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

Fields of papers citing papers by Yi Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011242
2 2013178
3 201275
4 201473
5 201361
6 201351
7 201847
8 199946
9 201035
10 200627
11 199826
12 201422
13
Effects of tumor necrosis factor-alpha on calcium movement in rat ventricular myocytes.
200321
14 199920
15 201914
16 20248
17 20215
18 20214
19 20222
20
Inhibitory effects of serotonin on transient outward potassium current in rat ventricular myocytes.
20022

About Yi Cui

Yi Cui is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Physiology, having authored 23 papers that have together received 962 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (13 papers), Ion channel regulation and function (12 papers), Neuroscience and Neural Engineering (3 papers), ECG Monitoring and Analysis (3 papers), Receptor Mechanisms and Signaling (2 papers), Inhalation and Respiratory Drug Delivery (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and Ion Channels and Receptors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (636 citations), Cellular and Molecular Neuroscience (238 citations), Physiology (52 citations), Molecular Biology (640 citations) and Sensory Systems (30 citations). Yi Cui has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Gary R. Mirams, David J. Gavaghan, Denis Noble, Mark Davies, Mike Aylott, Arun Sridhar, Kate Harris, James B. Louttit, Nick McMahon and Bronagh Heath. Their work appears in journals such as British Journal of Clinical Pharmacology, Journal of Pharmacology and Experimental Therapeutics, BMC Nursing, Cardiovascular Research and Nucleic Acid Therapeutics.

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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