Rebecca J. Willcocks
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Cellular and Molecular Neuroscience top 10%
- Physiology top 10%
- Co-authors
- Krista VandenborneGlenn A. WalterDonovan J. LottWilliam TriplettSean C. ForbesClaudia SenesacH. Lee SweeneyMichael J. Daniels
- Topics
- Muscle Physiology and Disorders (36 papers)Muscle activation and electromyography studies (14 papers)Cardiomyopathy and Myosin Studies (9 papers)
- Journals
- PLoS ONENeurologyAnnals of Neurology
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Rebecca J. Willcocks
38 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 843
- Biomedical Engineering 307
- Cardiology and Cardiovascular Medicine 255
- Cellular and Molecular Neuroscience 232
- Physiology 194
Countries citing papers authored by Rebecca J. Willcocks
This map shows the geographic impact of Rebecca J. Willcocks'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 Rebecca J. Willcocks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rebecca J. Willcocks more than expected).
Fields of papers citing papers by Rebecca J. Willcocks
This network shows the impact of papers produced by Rebecca J. Willcocks. 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 Rebecca J. Willcocks. The network helps show where Rebecca J. Willcocks may publish in the future.
Co-authorship network of co-authors of Rebecca J. Willcocks
This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca J. Willcocks. A scholar is included among the top collaborators of Rebecca J. Willcocks 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 Rebecca J. Willcocks. Rebecca J. Willcocks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 8 | |
| 9 | 27 | |
| 10 | 26 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 51 | |
| 14 | 120 | |
| 15 | 34 | |
| 16 | 111 | |
| 17 | 87 | |
| 18 | 68 | |
| 19 | 28 | |
| 20 | 2 |
About Rebecca J. Willcocks
Rebecca J. Willcocks is a scholar working on Molecular Biology, Complementary and alternative medicine and Cardiology and Cardiovascular Medicine, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (36 papers), Muscle activation and electromyography studies (14 papers) and Cardiomyopathy and Myosin Studies (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (232 citations), Genetics (134 citations) and Molecular Biology (843 citations). Rebecca J. Willcocks has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Krista Vandenborne, Glenn A. Walter, Donovan J. Lott, William Triplett, Sean C. Forbes, Claudia Senesac, H. Lee Sweeney, Michael J. Daniels, William D. Rooney and Erika Finanger. Their work appears in journals such as PLoS ONE, Neurology 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.