Sheena Lee
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms 3
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research 5
- Genetic Associations and Epidemiology 2
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 4
- Molecular Biology top 5%
- RNA Research and Splicing 9
- RNA modifications and cancer 8
- Congenital heart defects research 4
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research 5
- Genetic Associations and Epidemiology 2
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- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Chris P. PontingKay E. DaviesZoltán MolnárFrances M. AshcroftRoger CoxKevin TalbotJames S. McTaggartDirk Bäumer
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Sheena Lee
27 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 101
- Developmental Neuroscience 127
- Genetics 293
- Cancer Research 340
- Molecular Biology 1.4k
- Genetics 369
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 9 | |
| 2 | 2018 | 50 | |
| 3 | 2016 | 95 | |
| 4 | 2016 | 15 | |
| 5 | 2015 | 59 | |
| 6 | 2014 | 18 | |
| 7 | 2014 | 27 | |
| 8 | 2012 | 73 | |
| 9 | 2012 | 346 | |
| 10 | 2011 | 70 | |
| 11 | 2011 | 66 | |
| 12 | 2010 | 80 | |
| 13 | 2009 | 97 | |
| 14 | 2009 | 258 | |
| 15 | 2009 | 19 | |
| 16 | 2009 | 41 | |
| 17 | 2009 | 193 | |
| 18 | 2008 | 8 | |
| 19 | 2008 | 116 | |
| 20 | 2006 | 35 |
About Sheena Lee
Sheena Lee is a scholar working on Developmental Neuroscience, Genetics, Cellular and Molecular Neuroscience, Cancer Research and Molecular Biology, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA modifications and cancer (8 papers), Neurogenetic and Muscular Disorders Research (5 papers), Congenital heart defects research (4 papers), Cancer-related molecular mechanisms research (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Developmental Neuroscience (127 citations), Genetics (293 citations), Cancer Research (340 citations), Molecular Biology (1.4k citations) and Genetics (369 citations). Sheena Lee has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Chris P. Ponting, Kay E. Davies, Zoltán Molnár, Frances M. Ashcroft, Roger Cox, Kevin Talbot, James S. McTaggart, Dirk Bäumer, Thomas H. Gillingwater and Lyndsay M. Murray. Their work appears in journals such as PLoS ONE, PLoS Genetics, Cerebral Cortex, eLife and Molecular Therapy.
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.