Valerie Askanas
- Molecular Biology top 1%
- Epidemiology top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 2%
- Cell Biology top 1%
- Co-authors
- W. King EngelRenate B. AlvarezAnna NogalskaJanis McFerrinTakayoshi KobayashiGeorge KarpatiSalvatore DiMauroAndrew Engel
- Topics
- Inflammatory Myopathies and Dermatomyositis (68 papers)Muscle Physiology and Disorders (62 papers)Genetic Neurodegenerative Diseases (38 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Valerie Askanas
171 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 4.0k
- Epidemiology 3.2k
- Cellular and Molecular Neuroscience 1.8k
- Physiology 1.2k
- Cell Biology 1.1k
Countries citing papers authored by Valerie Askanas
This map shows the geographic impact of Valerie Askanas'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 Valerie Askanas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valerie Askanas more than expected).
Fields of papers citing papers by Valerie Askanas
This network shows the impact of papers produced by Valerie Askanas. 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 Valerie Askanas. The network helps show where Valerie Askanas may publish in the future.
Co-authorship network of co-authors of Valerie Askanas
This figure shows the co-authorship network connecting the top 25 collaborators of Valerie Askanas. A scholar is included among the top collaborators of Valerie Askanas 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 Valerie Askanas. Valerie Askanas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 3 | |
| 3 | 78 | |
| 4 | 11 | |
| 5 | 38 | |
| 6 | 116 | |
| 7 | 49 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 33 | |
| 11 | 5 | |
| 12 | 29 | |
| 13 | Inclusion body myositis and myopathiesbreakdown → | 604 |
| 14 | 42 | |
| 15 | 40 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 8 | |
| 19 | 21 | |
| 20 | Distinct histochemical subtypes of type I fibers of human skeletal muscle. | 3 |
About Valerie Askanas
Valerie Askanas is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Epidemiology, having authored 171 papers that have together received 6.7k indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (68 papers), Muscle Physiology and Disorders (62 papers) and Genetic Neurodegenerative Diseases (38 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Epidemiology (3.2k citations) and Aging (120 citations). Valerie Askanas has collaborated with scholars based in United States, France and Italy. Frequent co-authors include W. King Engel, W. King Engel, Renate B. Alvarez, Anna Nogalska, Janis McFerrin, Takayoshi Kobayashi, George Karpati, Salvatore DiMauro, Andrew Engel and Jerry R. Mendell. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.