Anna Mayhew
Impact in
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
- Molecular Biology top 10%
- Muscle Physiology and Disorders
Papers in
-
- Muscle Physiology and Disorders 38
- Genetics 21
- Neurogenetic and Muscular Disorders Research 21
- Co-authors
- Michelle Eagle (17 shared papers)Francesco Muntoni (7 shared papers)Eugenio Mercuri (18 shared papers)Volker Straub (25 shared papers)Marion Main (8 shared papers)Elaine Scott (3 shared papers)Kate Bushby (9 shared papers)Valeria Ricotti (6 shared papers)
- Journals
- Neuromuscular Disorders (21 papers)Developmental Medicine & Child Neurology (7 papers)PLoS ONE (5 papers)Journal of Neuromuscular Diseases (4 papers)Muscle & Nerve (4 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Anna Mayhew
56 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 77
- Genetics 294
- Molecular Biology 911
- Cardiology and Cardiovascular Medicine 144
- Rehabilitation 38
- Cellular and Molecular Neuroscience 111
Countries citing papers authored by Anna Mayhew
This map shows the geographic impact of Anna Mayhew'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 Mayhew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Mayhew more than expected).
Fields of papers citing papers by Anna Mayhew
This network shows the impact of papers produced by Anna Mayhew. 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 Mayhew. The network helps show where Anna Mayhew may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Mayhew, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 155 | |
| 2 | 2013 | 145 | |
| 3 | 2011 | 113 | |
| 4 | 2015 | 103 | |
| 5 | 2011 | 84 | |
| 6 | 2014 | 73 | |
| 7 | 2008 | 64 | |
| 8 | 2019 | 62 | |
| 9 | 2012 | 53 | |
| 10 | 2013 | 53 | |
| 11 | 2019 | 46 | |
| 12 | 2019 | 31 | |
| 13 | 2014 | 31 | |
| 14 | 2015 | 30 | |
| 15 | 2018 | 30 | |
| 16 | 2019 | 29 | |
| 17 | 2017 | 29 | |
| 18 | 2019 | 27 | |
| 19 | 2020 | 26 | |
| 20 | 2012 | 21 |
About Anna Mayhew
Anna Mayhew is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Surgery and Psychiatry and Mental health, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (38 papers), Neurogenetic and Muscular Disorders Research (21 papers), Muscle activation and electromyography studies (5 papers), Children's Physical and Motor Development (5 papers), Cerebral Palsy and Movement Disorders (5 papers), Delphi Technique in Research (4 papers), Cardiomyopathy and Myosin Studies (4 papers) and Congenital Anomalies and Fetal Surgery (3 papers). The work is most often cited by research in Genetics (294 citations), Molecular Biology (911 citations), Cardiology and Cardiovascular Medicine (144 citations), Rehabilitation (38 citations) and Cellular and Molecular Neuroscience (111 citations). Anna Mayhew has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Michelle Eagle, Francesco Muntoni, Eugenio Mercuri, Volker Straub, Marion Main, Elaine Scott, Kate Bushby, Valeria Ricotti, Marika Pane and Elena Mazzone. Their work appears in journals such as Neuromuscular Disorders, Developmental Medicine & Child Neurology, PLoS ONE, Journal of Neuromuscular Diseases and Muscle & Nerve.
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.