Gillian Butler‐Browne
- Molecular Biology top 0.2%
- Physiology top 0.5%
- Cell Biology top 0.2%
- Cardiology and Cardiovascular Medicine top 0.5%
- Surgery top 1%
- Co-authors
- Vincent MoulyRobert G. WhalenLars‐Eric ThornellOnnik AgbulutFrançois GrosJacques BarbetDenis FurlingAnne Bigot
- Topics
- Muscle Physiology and Disorders (204 papers)Cardiomyopathy and Myosin Studies (46 papers)Tissue Engineering and Regenerative Medicine (35 papers)
- Cited by
- AgingGeneticsCell Biology
- Partner nations
- FranceUnited KingdomSweden
In The Last Decade
Gillian Butler‐Browne
291 papers receiving 15.3k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 11.0k
- Physiology 3.7k
- Cell Biology 2.8k
- Cardiology and Cardiovascular Medicine 2.4k
- Surgery 2.3k
Countries citing papers authored by Gillian Butler‐Browne
This map shows the geographic impact of Gillian Butler‐Browne'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 Gillian Butler‐Browne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gillian Butler‐Browne more than expected).
Fields of papers citing papers by Gillian Butler‐Browne
This network shows the impact of papers produced by Gillian Butler‐Browne. 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 Gillian Butler‐Browne. The network helps show where Gillian Butler‐Browne may publish in the future.
Co-authorship network of co-authors of Gillian Butler‐Browne
This figure shows the co-authorship network connecting the top 25 collaborators of Gillian Butler‐Browne. A scholar is included among the top collaborators of Gillian Butler‐Browne 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 Gillian Butler‐Browne. Gillian Butler‐Browne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 56 | |
| 5 | 27 | |
| 6 | 11 | |
| 7 | 21 | |
| 8 | 9 | |
| 9 | 17 | |
| 10 | 7 | |
| 11 | 6 | |
| 12 | 66 | |
| 13 | 31 | |
| 14 | MUSCLE CHARACTERISTICS AND REGENERATIVE POTENTIAL IN PATIENTS WITH CHRONIC SYSTEMIC INFLAMMATION | 2 |
| 15 | 89 | |
| 16 | 70 | |
| 17 | 70 | |
| 18 | 59 | |
| 19 | 42 | |
| 20 | 85 |
About Gillian Butler‐Browne
Gillian Butler‐Browne is a scholar working on Aging, Genetics and Molecular Biology, having authored 292 papers that have together received 15.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (204 papers), Cardiomyopathy and Myosin Studies (46 papers) and Tissue Engineering and Regenerative Medicine (35 papers). The work is most often cited by research in Aging (495 citations), Genetics (1.9k citations) and Cell Biology (2.8k citations). Gillian Butler‐Browne has collaborated with scholars based in France, United Kingdom and Sweden. Frequent co-authors include Vincent Mouly, Robert G. Whalen, Lars‐Eric Thornell, Onnik Agbulut, François Gros, Jacques Barbet, Denis Furling, Anne Bigot, R.N. Cooper and Kamel Mamchaoui. Their work appears in journals such as Nature, Cell 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.