Anna Hui
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Molecular Biology top 10%
- Ion channel regulation and function
- Nicotinic Acetylcholine Receptors Study
- RNA and protein synthesis mechanisms
Papers in
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- RNA and protein synthesis mechanisms 4
- Ion channel regulation and function 3
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Metabolism, Diabetes, and Cancer 2
- Peroxisome Proliferator-Activated Receptors 1
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Arnold Schwartz (2 shared papers)Herman A. de Boer (3 shared papers)S.B. Ellis (1 shared paper)Albert Leung (1 shared paper)Kevin P. Campbell (1 shared paper)Mark E. Williams (1 shared paper)Robert Brenner (1 shared paper)Alan H. Sharp (1 shared paper)
- Journals
- Methods in enzymology on CD-ROM/Methods in enzymology (2 papers)Journal of Neurochemistry (1 paper)Hypertension (1 paper)The FASEB Journal (1 paper)FEBS Letters (1 paper)
- Partner nations
- United States
In The Last Decade
Anna Hui
10 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Cellular and Molecular Neuroscience 424
- Molecular Biology 841
- Cardiology and Cardiovascular Medicine 238
- Endocrine and Autonomic Systems 65
- Sensory Systems 39
Countries citing papers authored by Anna Hui
This map shows the geographic impact of Anna Hui'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 Anna Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Hui more than expected).
Fields of papers citing papers by Anna Hui
This network shows the impact of papers produced by Anna Hui. 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 Anna Hui. The network helps show where Anna Hui may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Hui, 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 | 1988 | 477 | |
| 2 | 1991 | 165 | |
| 3 | 2006 | 112 | |
| 4 | 2003 | 82 | |
| 5 | 1983 | 58 | |
| 6 | 1982 | 45 | |
| 7 | 1989 | 41 | |
| 8 | 1990 | 38 | |
| 9 | 1987 | 32 | |
| 10 | 2005 | 10 |
About Anna Hui
Anna Hui is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Ion channel regulation and function (3 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (424 citations), Molecular Biology (841 citations), Cardiology and Cardiovascular Medicine (238 citations), Endocrine and Autonomic Systems (65 citations) and Sensory Systems (39 citations). Anna Hui has collaborated with scholars based in United States. Frequent co-authors include Arnold Schwartz, Herman A. de Boer, S.B. Ellis, Albert Leung, Kevin P. Campbell, Mark E. Williams, Robert Brenner, Alan H. Sharp, Michael M. Harpold and Edward J. McKenna. Their work appears in journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Journal of Neurochemistry, Hypertension, The FASEB Journal and FEBS Letters.
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.