Lucy Feng
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Genetics top 2%
- Genetics top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Caroline A. SewrySilvia TorelliFrancesco MuntoniJennifer E. MorganVolker StraubStephen AbbsSebahattin ÇirakVirginia Arechavala‐Gomeza
- Topics
- Muscle Physiology and Disorders (27 papers)Cardiomyopathy and Myosin Studies (7 papers)Neurogenetic and Muscular Disorders Research (6 papers)
- Journals
- The LancetPLoS ONEBrain
- 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
- Molecular Biology 2.0k
- Cardiology and Cardiovascular Medicine 456
- Genetics 426
- Genetics 325
- 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 of co-authors of Lucy Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Lucy Feng. A scholar is included among the top collaborators of Lucy Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lucy Feng. Lucy Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 8 | |
| 3 | 10 | |
| 4 | 10 | |
| 5 | 17 | |
| 6 | 5 | |
| 7 | 12 | |
| 8 | 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 → | 656 |
| 10 | 80 | |
| 11 | 112 | |
| 12 | 133 | |
| 13 | 63 | |
| 14 | 64 | |
| 15 | 48 | |
| 16 | 57 | |
| 17 | 7 | |
| 18 | 108 | |
| 19 | 14 | |
| 20 | 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) and Neurogenetic and Muscular Disorders Research (6 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.