Alex Cheong
Impact in
- Sensory Systems top 1%
- Ion Channels and Receptors
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Cancer, Hypoxia, and Metabolism 11
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- Ion Channels and Receptors 3
- Co-authors
- David J. BeechCormac T. TaylorMiguel CavadasEoin P. CumminsUlrike BrüningAlexandra DedmanCarsten C. ScholzMurtaza M. Tambuwala
- Journals
- The FASEB Journal (4 papers)The Journal of Physiology (3 papers)Scientific Reports (2 papers)Circulation Research (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
Alex Cheong
34 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 106
- Sensory Systems 297
- Cancer Research 605
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 231
- Physiology 280
Countries citing papers authored by Alex Cheong
This map shows the geographic impact of Alex Cheong'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 Alex Cheong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Cheong more than expected).
Fields of papers citing papers by Alex Cheong
This network shows the impact of papers produced by Alex Cheong. 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 Alex Cheong. The network helps show where Alex Cheong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alex Cheong, 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 | 2023 | 3 | |
| 2 | 2018 | 4 | |
| 3 | 2017 | 39 | |
| 4 | 2015 | 18 | |
| 5 | 2015 | 60 | |
| 6 | 2013 | 0 | |
| 7 | 2013 | 99 | |
| 8 | 2013 | 4 | |
| 9 | 2013 | 60 | |
| 10 | 2011 | 66 | |
| 11 | 2010 | 49 | |
| 12 | 2008 | 1 | |
| 13 | 2007 | 23 | |
| 14 | 2006 | 168 | |
| 15 | 2005 | 9 | |
| 16 | 2005 | 120 | |
| 17 | 2004 | 38 | |
| 18 | 2002 | 55 | |
| 19 | 2002 | 20 | |
| 20 | 2001 | 59 |
About Alex Cheong
Alex Cheong is a scholar working on Cancer Research, Sensory Systems, Aging, Biochemistry and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (11 papers), Ion channel regulation and function (10 papers), Cardiac electrophysiology and arrhythmias (6 papers), RNA Research and Splicing (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Epigenetics and DNA Methylation (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Ion Channels and Receptors (3 papers). The work is most often cited by research in Sensory Systems (297 citations), Cancer Research (605 citations), Molecular Biology (1.1k citations), Cellular and Molecular Neuroscience (231 citations) and Physiology (280 citations). Alex Cheong has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include David J. Beech, Cormac T. Taylor, Miguel Cavadas, Eoin P. Cummins, Ulrike Brüning, Alexandra Dedman, Carsten C. Scholz, Murtaza M. Tambuwala, Susan F. Fitzpatrick and Lan K. Nguyen. Their work appears in journals such as The FASEB Journal, The Journal of Physiology, Scientific Reports, Circulation Research and Journal of Biological Chemistry.
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.