Beatrice A. Williams
- Molecular Biology
- Endocrine and Autonomic Systems top 2%
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Co-authors
- Keith J. BucklerÉric HonoréStephen M. SimsM.A. HortonGuillaume CharrasFrances M. AshcroftGregory N. BeatchPaul A. Smith
- Topics
- Ion channel regulation and function (10 papers)Neuroscience and Neuropharmacology Research (3 papers)Cardiac electrophysiology and arrhythmias (3 papers)
- Cited by
- Endocrine and Autonomic SystemsCellular and Molecular NeuroscienceCardiology and Cardiovascular Medicine
- Partner nations
- United KingdomCanadaFrance
In The Last Decade
Beatrice A. Williams
12 papers receiving 655 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 364
- Endocrine and Autonomic Systems 275
- Cellular and Molecular Neuroscience 158
- Cardiology and Cardiovascular Medicine 154
- Physiology 114
Countries citing papers authored by Beatrice A. Williams
This map shows the geographic impact of Beatrice A. Williams'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 Beatrice A. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatrice A. Williams more than expected).
Fields of papers citing papers by Beatrice A. Williams
This network shows the impact of papers produced by Beatrice A. Williams. 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 Beatrice A. Williams. The network helps show where Beatrice A. Williams may publish in the future.
Co-authorship network of co-authors of Beatrice A. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Beatrice A. Williams. A scholar is included among the top collaborators of Beatrice A. Williams 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 Beatrice A. Williams. Beatrice A. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 11 | |
| 3 | 38 | |
| 4 | 58 | |
| 5 | 67 | |
| 6 | 6 | |
| 7 | 362 | |
| 8 | 28 | |
| 9 | 11 | |
| 10 | 26 | |
| 11 | 20 | |
| 12 | 13 |
About Beatrice A. Williams
Beatrice A. Williams is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Physiology, having authored 12 papers that have together received 662 indexed citations. Recurring topics across this work include Ion channel regulation and function (10 papers), Neuroscience and Neuropharmacology Research (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (275 citations), Cellular and Molecular Neuroscience (158 citations) and Cardiology and Cardiovascular Medicine (154 citations). Beatrice A. Williams has collaborated with scholars based in United Kingdom, Canada and France. Frequent co-authors include Keith J. Buckler, Éric Honoré, Stephen M. Sims, M.A. Horton, Guillaume Charras, Frances M. Ashcroft, Gregory N. Beatch, Paul A. Smith, Gerald Brock and Ling DeYoung. Their work appears in journals such as The Journal of Physiology, Biophysical Journal and British Journal of Pharmacology.
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.