Albert Cha
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Cardiac electrophysiology and arrhythmias
Papers in
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- Ion channel regulation and function 6
- Bone Metabolism and Diseases 1
- Lipid Membrane Structure and Behavior 1
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- Neuroscience and Neuropharmacology Research 5
- Neuroscience and Neural Engineering 2
- Co-authors
- Francisco Bezanilla (7 shared papers)Paul R. Selvin (1 shared paper)Gregory E. Snyder (1 shared paper)E. Fujimoto (1 shared paper)Peter C. Ruben (1 shared paper)Alfred L. George (1 shared paper)Jakob B. Sørensen (1 shared paper)Donald D. F. Loo (1 shared paper)
- Journals
- The Journal of General Physiology (3 papers)Neuron (2 papers)Nature (1 paper)Planta Medica (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesChileHong Kong
In The Last Decade
Albert Cha
8 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 642
- Cardiology and Cardiovascular Medicine 456
- Molecular Biology 1.0k
- Electrochemistry 75
- Sensory Systems 36
Countries citing papers authored by Albert Cha
This map shows the geographic impact of Albert Cha'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 Albert Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Cha more than expected).
Fields of papers citing papers by Albert Cha
This network shows the impact of papers produced by Albert Cha. 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 Albert Cha. The network helps show where Albert Cha may publish in the future.
Co-authors
The 20 scholars most cited alongside Albert Cha, 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 | 1999 | 394 | |
| 2 | 1997 | 283 | |
| 3 | 1999 | 231 | |
| 4 | 1998 | 122 | |
| 5 | 2004 | 36 | |
| 6 | 2000 | 34 | |
| 7 | 2007 | 22 | |
| 8 | 1998 | 20 |
About Albert Cha
Albert Cha is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Surgery and Rheumatology, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Cardiac electrophysiology and arrhythmias (3 papers), Neuroscience and Neural Engineering (2 papers), Pancreatic function and diabetes (1 paper), Natural Compounds in Disease Treatment (1 paper), Bone Metabolism and Diseases (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (642 citations), Cardiology and Cardiovascular Medicine (456 citations), Molecular Biology (1.0k citations), Electrochemistry (75 citations) and Sensory Systems (36 citations). Albert Cha has collaborated with scholars based in United States, Chile and Hong Kong. Frequent co-authors include Francisco Bezanilla, Paul R. Selvin, Gregory E. Snyder, E. Fujimoto, Peter C. Ruben, Alfred L. George, Jakob B. Sørensen, Donald D. F. Loo, Bruce A. Hirayama and Ernest M. Wright. Their work appears in journals such as The Journal of General Physiology, Neuron, Nature, Planta Medica 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.