Pike-See Cheah
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Developmental Neuroscience top 5%
Papers in
-
- RNA Research and Splicing 7
- Extracellular vesicles in disease 6
- Pluripotent Stem Cells Research 5
- Genetics 19
- Genetics and Neurodevelopmental Disorders 13
- Co-authors
- King‐Hwa Ling (50 shared papers)Paul Q. Thomas (9 shared papers)Kai-Leng Tan (6 shared papers)Han-Chung Lee (11 shared papers)Xandra O. Breakefield (10 shared papers)Eric C. Tai (2 shared papers)David T. Ting (2 shared papers)Anna M. Krichevsky (2 shared papers)
- Journals
- PLoS ONE (4 papers)Neuroscience (3 papers)Cell Reports (3 papers)Scientific Reports (3 papers)BMC Genomics (2 papers)
- Partner nations
- MalaysiaUnited StatesAustralia
In The Last Decade
Pike-See Cheah
79 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 113
- Cancer Research 456
- Developmental Neuroscience 83
- Neurology 123
- Molecular Biology 780
- Genetics 88
Countries citing papers authored by Pike-See Cheah
This map shows the geographic impact of Pike-See Cheah'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 Pike-See Cheah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pike-See Cheah more than expected).
Fields of papers citing papers by Pike-See Cheah
This network shows the impact of papers produced by Pike-See Cheah. 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 Pike-See Cheah. The network helps show where Pike-See Cheah may publish in the future.
Co-authors
The 25 scholars most cited alongside Pike-See Cheah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 155 | |
| 2 | 2020 | 118 | |
| 3 | 2008 | 75 | |
| 4 | 2019 | 69 | |
| 5 | 2015 | 69 | |
| 6 | 2022 | 63 | |
| 7 | 2014 | 54 | |
| 8 | 2020 | 52 | |
| 9 | 2011 | 49 | |
| 10 | 2009 | 45 | |
| 11 | 2010 | 44 | |
| 12 | 2016 | 38 | |
| 13 | 2019 | 38 | |
| 14 | 2013 | 36 | |
| 15 | 2013 | 35 | |
| 16 | 2019 | 34 | |
| 17 | 2010 | 32 | |
| 18 | 2021 | 28 | |
| 19 | 2019 | 27 | |
| 20 | 2017 | 24 |
About Pike-See Cheah
Pike-See Cheah is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Cancer Research and Cellular and Molecular Neuroscience, having authored 83 papers that have together received 1.6k indexed citations. Recurring topics across this work include Down syndrome and intellectual disability research (17 papers), MicroRNA in disease regulation (14 papers), Genetics and Neurodevelopmental Disorders (13 papers), RNA Research and Splicing (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Extracellular vesicles in disease (6 papers), Nerve injury and regeneration (5 papers) and Pluripotent Stem Cells Research (5 papers). The work is most often cited by research in Cancer Research (456 citations), Developmental Neuroscience (83 citations), Neurology (123 citations), Molecular Biology (780 citations) and Genetics (88 citations). Pike-See Cheah has collaborated with scholars based in Malaysia, United States and Australia. Frequent co-authors include King‐Hwa Ling, Paul Q. Thomas, Kai-Leng Tan, Han-Chung Lee, Xandra O. Breakefield, Eric C. Tai, David T. Ting, Anna M. Krichevsky, Zhiyun Wei and Eva Szarek. Their work appears in journals such as PLoS ONE, Neuroscience, Cell Reports, Scientific Reports and BMC Genomics.
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.