Sheena Lee
Impact in
- Developmental Neuroscience top 5%
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
- Genetics and Neurodevelopmental Disorders
Papers in
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- RNA Research and Splicing 7
- RNA modifications and cancer 7
- Congenital heart defects research 4
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- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Chris P. Ponting (4 shared papers)Kay E. Davies (6 shared papers)Zoltán Molnár (7 shared papers)Frances M. Ashcroft (4 shared papers)Roger Cox (4 shared papers)James S. McTaggart (3 shared papers)Kevin Talbot (2 shared papers)Thomas H. Gillingwater (2 shared papers)
- Journals
- PLoS ONE (5 papers)PLoS Genetics (2 papers)Cerebral Cortex (2 papers)Inorganic Chemistry (2 papers)eLife (2 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Sheena Lee
29 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 105
- Developmental Neuroscience 139
- Genetics 296
- Cancer Research 325
- Molecular Biology 1.4k
- Endocrine and Autonomic Systems 87
Countries citing papers authored by Sheena Lee
This map shows the geographic impact of Sheena Lee'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 Sheena Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheena Lee more than expected).
Fields of papers citing papers by Sheena Lee
This network shows the impact of papers produced by Sheena Lee. 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 Sheena Lee. The network helps show where Sheena Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheena Lee, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 366 | |
| 2 | 2009 | 279 | |
| 3 | 2009 | 198 | |
| 4 | 2014 | 141 | |
| 5 | 2008 | 123 | |
| 6 | 2016 | 98 | |
| 7 | 2009 | 98 | |
| 8 | 2013 | 93 | |
| 9 | 2010 | 82 | |
| 10 | 2012 | 76 | |
| 11 | 2011 | 72 | |
| 12 | 2011 | 69 | |
| 13 | 2015 | 61 | |
| 14 | 2012 | 52 | |
| 15 | 2018 | 52 | |
| 16 | 2016 | 49 | |
| 17 | 2009 | 45 | |
| 18 | 2006 | 38 | |
| 19 | 2014 | 30 | |
| 20 | 1996 | 25 |
About Sheena Lee
Sheena Lee is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Genetics and Surgery, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA modifications and cancer (7 papers), Neurogenetic and Muscular Disorders Research (5 papers), Congenital heart defects research (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Cancer-related molecular mechanisms research (3 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Developmental Neuroscience (139 citations), Genetics (296 citations), Cancer Research (325 citations), Molecular Biology (1.4k citations) and Endocrine and Autonomic Systems (87 citations). Sheena Lee has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Chris P. Ponting, Kay E. Davies, Zoltán Molnár, Frances M. Ashcroft, Roger Cox, James S. McTaggart, Kevin Talbot, Thomas H. Gillingwater, Lyndsay M. Murray and Dirk Bäumer. Their work appears in journals such as PLoS ONE, PLoS Genetics, Cerebral Cortex, Inorganic Chemistry and eLife.
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.