Natalie Street
- Molecular Biology top 5%
- Genetics top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 10%
- Biomedical Engineering top 10%
- Co-authors
- Carla BannAngela Glover BlackwellDavid J. BirnkrantLeanne M. WardDavid R. WeberSusan ApkonShree PandyaStasia Hadjiyannakis
- Topics
- Muscle Physiology and Disorders (20 papers)Genetic Neurodegenerative Diseases (7 papers)Neurogenetic and Muscular Disorders Research (6 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Natalie Street
28 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.7k
- Genetics 459
- Cardiology and Cardiovascular Medicine 415
- Physiology 349
- Biomedical Engineering 335
Countries citing papers authored by Natalie Street
This map shows the geographic impact of Natalie Street'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 Natalie Street with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Street more than expected).
Fields of papers citing papers by Natalie Street
This network shows the impact of papers produced by Natalie Street. 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 Natalie Street. The network helps show where Natalie Street may publish in the future.
Co-authorship network of co-authors of Natalie Street
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Street. A scholar is included among the top collaborators of Natalie Street 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 Natalie Street. Natalie Street is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 34 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | Diagnosis and management of Duchenne muscular dystrophy, part 3: primary care, emergency management, psychosocial care, and transitions of care across the lifespanbreakdown → | 278 |
| 9 | Diagnosis and management of Duchenne muscular dystrophy, part 1: diagnosis, and neuromuscular, rehabilitation, endocrine, and gastrointestinal and nutritional managementbreakdown → | 781 |
| 10 | 7 | |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 13 | |
| 14 | 47 | |
| 15 | 42 | |
| 16 | 14 | |
| 17 | Evidence‐based path to newborn screening for duchenne muscular dystrophybreakdown → | 607 |
| 18 | 4 | |
| 19 | 48 | |
| 20 | 40 |
About Natalie Street
Natalie Street is a scholar working on Genetics, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (20 papers), Genetic Neurodegenerative Diseases (7 papers) and Neurogenetic and Muscular Disorders Research (6 papers). The work is most often cited by research in Genetics (459 citations), Molecular Biology (1.7k citations) and Rehabilitation (147 citations). Natalie Street has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Carla Bann, Angela Glover Blackwell, David J. Birnkrant, Leanne M. Ward, David R. Weber, Susan Apkon, Shree Pandya, Stasia Hadjiyannakis, Laura E. Case and Jean Tomezsko. Their work appears in journals such as Neurology, PEDIATRICS and Annals of Neurology.
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.