Barbara Kay Grove
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Cell Biology
- Cellular and Molecular Neuroscience
- Biomedical Engineering
- Co-authors
- Hans M. EppenbergerJean‐Claude PerriardChristian F. LehnerThomas DoetschmanLars‐Eric ThornellEva CarlssonTerry C. JohnsonTheo Wallimann
- Topics
- Muscle Physiology and Disorders (9 papers)Cardiomyopathy and Myosin Studies (6 papers)RNA and protein synthesis mechanisms (6 papers)
- Journals
- The Journal of Cell BiologyBiochemical JournalBiochemical and Biophysical Research Communications
- Partner nations
- United StatesSwedenSwitzerland
In The Last Decade
Barbara Kay Grove
15 papers receiving 403 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 359
- Cardiology and Cardiovascular Medicine 266
- Cell Biology 83
- Cellular and Molecular Neuroscience 53
- Biomedical Engineering 26
Countries citing papers authored by Barbara Kay Grove
This map shows the geographic impact of Barbara Kay Grove'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 Barbara Kay Grove with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Kay Grove more than expected).
Fields of papers citing papers by Barbara Kay Grove
This network shows the impact of papers produced by Barbara Kay Grove. 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 Barbara Kay Grove. The network helps show where Barbara Kay Grove may publish in the future.
Co-authorship network of co-authors of Barbara Kay Grove
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Kay Grove. A scholar is included among the top collaborators of Barbara Kay Grove 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 Barbara Kay Grove. Barbara Kay Grove is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 27 | |
| 3 | Muscle differentiation and the origin of muscle fiber diversity. | 7 |
| 4 | 7 | |
| 5 | 25 | |
| 6 | 24 | |
| 7 | 74 | |
| 8 | 177 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 14 |
About Barbara Kay Grove
Barbara Kay Grove is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cell Biology, having authored 15 papers that have together received 434 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (9 papers), Cardiomyopathy and Myosin Studies (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (266 citations), Molecular Biology (359 citations) and Cell Biology (83 citations). Barbara Kay Grove has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Hans M. Eppenberger, Jean‐Claude Perriard, Christian F. Lehner, Thomas Doetschman, Lars‐Eric Thornell, Eva Carlsson, Terry C. Johnson, Theo Wallimann, Frank E. Stockdale and E. Kugelberg. Their work appears in journals such as The Journal of Cell Biology, Biochemical Journal and Biochemical and Biophysical Research Communications.
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.