Lucy Feng
- Genetics top 2%
- Neurogenetic and Muscular Disorders Research 6
- Virus-based gene therapy research 4
- Molecular Biology top 5%
- Muscle Physiology and Disorders 27
- Ion channel regulation and function 4
- RNA Research and Splicing 4
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- Cardiomyopathy and Myosin Studies 7
- Immunology and Allergy top 5%
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- Genetic Neurodegenerative Diseases 4
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- Muscle activation and electromyography studies 3
- Co-authors
- Caroline A. SewrySilvia TorelliFrancesco MuntoniJennifer E. MorganVolker StraubStephen AbbsSebahattin ÇirakVirginia Arechavala‐Gomeza
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Lucy Feng
37 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Genetics 426
- Molecular Biology 2.0k
- Cardiology and Cardiovascular Medicine 456
- Immunology and Allergy 109
- Cellular and Molecular Neuroscience 297
Countries citing papers authored by Lucy Feng
This map shows the geographic impact of Lucy Feng'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 Lucy Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucy Feng more than expected).
Fields of papers citing papers by Lucy Feng
This network shows the impact of papers produced by Lucy Feng. 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 Lucy Feng. The network helps show where Lucy Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lucy Feng, 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 | 2021 | 17 | |
| 2 | 2019 | 8 | |
| 3 | 2019 | 10 | |
| 4 | 2018 | 10 | |
| 5 | 2018 | 17 | |
| 6 | 2014 | 5 | |
| 7 | 2013 | 12 | |
| 8 | 2013 | 13 | |
| 9 | Exon skipping and dystrophin restoration in patients with Duchenne muscular dystrophy after systemic phosphorodiamidate morpholino oligomer treatment: an open-label, phase 2, dose-escalation studybreakdown → | 2011 | 656 |
| 10 | 2011 | 80 | |
| 11 | 2011 | 112 | |
| 12 | 2010 | 133 | |
| 13 | 2010 | 63 | |
| 14 | 2010 | 64 | |
| 15 | 2009 | 48 | |
| 16 | 2008 | 57 | |
| 17 | 2007 | 7 | |
| 18 | 2006 | 108 | |
| 19 | 2004 | 14 | |
| 20 | 2004 | 134 |
About Lucy Feng
Lucy Feng is a scholar working on Genetics, Molecular Biology and Rehabilitation, having authored 39 papers that have together received 2.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (27 papers), Cardiomyopathy and Myosin Studies (7 papers), Neurogenetic and Muscular Disorders Research (6 papers), Virus-based gene therapy research (4 papers), Genetic Neurodegenerative Diseases (4 papers), Ion channel regulation and function (4 papers), RNA Research and Splicing (4 papers) and Muscle activation and electromyography studies (3 papers). The work is most often cited by research in Genetics (426 citations), Molecular Biology (2.0k citations) and Cardiology and Cardiovascular Medicine (456 citations). Lucy Feng has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Caroline A. Sewry, Silvia Torelli, Francesco Muntoni, Jennifer E. Morgan, Volker Straub, Stephen Abbs, Sebahattin Çirak, Virginia Arechavala‐Gomeza, Michela Guglieri and Karen Anthony. Their work appears in journals such as The Lancet, PLoS ONE and Brain.
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.