Anna Vihola
Impact in
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- Cardiomyopathy and Myosin Studies
- Cardiovascular Effects of Exercise
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- Genetic Neurodegenerative Diseases
Papers in
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- Muscle Physiology and Disorders 29
- RNA Research and Splicing 7
- Nuclear Structure and Function 6
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- Cardiomyopathy and Myosin Studies 29
- Co-authors
- Bjarne Udd (26 shared papers)Peter Hackman (29 shared papers)J. Sarparanta (16 shared papers)Bjarne Udd (19 shared papers)Isabelle Richard (6 shared papers)Sylvie Marchand (5 shared papers)Henna Haravuori (3 shared papers)Mathias Gautel (5 shared papers)
- Journals
- Neuromuscular Disorders (13 papers)Neurology (6 papers)Neurology Genetics (4 papers)Human Molecular Genetics (3 papers)Annals of Neurology (3 papers)
- Partner nations
- FinlandFranceUnited States
In The Last Decade
Anna Vihola
49 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 1.3k
- Cellular and Molecular Neuroscience 667
- Genetics 359
- Molecular Biology 2.0k
- Cell Biology 449
Countries citing papers authored by Anna Vihola
This map shows the geographic impact of Anna Vihola'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 Anna Vihola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Vihola more than expected).
Fields of papers citing papers by Anna Vihola
This network shows the impact of papers produced by Anna Vihola. 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 Anna Vihola. The network helps show where Anna Vihola may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Vihola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 481 | |
| 2 | 2002 | 336 | |
| 3 | 2008 | 161 | |
| 4 | 2001 | 142 | |
| 5 | 2003 | 136 | |
| 6 | 2012 | 107 | |
| 7 | 2016 | 99 | |
| 8 | 2012 | 96 | |
| 9 | 2007 | 94 | |
| 10 | 2005 | 93 | |
| 11 | 2008 | 75 | |
| 12 | 2014 | 69 | |
| 13 | 2010 | 65 | |
| 14 | 2010 | 59 | |
| 15 | 2006 | 59 | |
| 16 | 2010 | 59 | |
| 17 | 2004 | 40 | |
| 18 | 2015 | 40 | |
| 19 | 2015 | 36 | |
| 20 | 2020 | 35 |
About Anna Vihola
Anna Vihola is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Cell Biology and Genetics, having authored 51 papers that have together received 2.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (29 papers), Cardiomyopathy and Myosin Studies (29 papers), Neurogenetic and Muscular Disorders Research (7 papers), Genetic Neurodegenerative Diseases (7 papers), RNA Research and Splicing (7 papers), Nuclear Structure and Function (6 papers), Calpain Protease Function and Regulation (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Cellular and Molecular Neuroscience (667 citations), Genetics (359 citations), Molecular Biology (2.0k citations) and Cell Biology (449 citations). Anna Vihola has collaborated with scholars based in Finland, France and United States. Frequent co-authors include Bjarne Udd, Peter Hackman, J. Sarparanta, Bjarne Udd, Isabelle Richard, Sylvie Marchand, Henna Haravuori, Mathias Gautel, Stephan Lange and Siegfried Labeit. Their work appears in journals such as Neuromuscular Disorders, Neurology, Neurology Genetics, Human Molecular Genetics 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.