Glenna C.L. Bett
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Cellular and Molecular Neuroscience top 2%
- Parasitology top 5%
- Public Health, Environmental and Occupational Health
- Co-authors
- Randall L. RasmussonFrederick SachsVladimir E. BondarenkoAaron D. KaplanGuy SalamaTao ZengSong-Jung KimGyula P. Szigeti
- Topics
- Cardiac electrophysiology and arrhythmias (38 papers)Ion channel regulation and function (36 papers)Neuroscience and Neural Engineering (16 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Glenna C.L. Bett
52 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.5k
- Cardiology and Cardiovascular Medicine 1.3k
- Cellular and Molecular Neuroscience 712
- Parasitology 149
- Public Health, Environmental and Occupational Health 138
Countries citing papers authored by Glenna C.L. Bett
This map shows the geographic impact of Glenna C.L. Bett'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 Glenna C.L. Bett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenna C.L. Bett more than expected).
Fields of papers citing papers by Glenna C.L. Bett
This network shows the impact of papers produced by Glenna C.L. Bett. 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 Glenna C.L. Bett. The network helps show where Glenna C.L. Bett may publish in the future.
Co-authorship network of co-authors of Glenna C.L. Bett
This figure shows the co-authorship network connecting the top 25 collaborators of Glenna C.L. Bett. A scholar is included among the top collaborators of Glenna C.L. Bett 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 Glenna C.L. Bett. Glenna C.L. Bett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 33 | |
| 3 | 2 | |
| 4 | 84 | |
| 5 | 70 | |
| 6 | 1 | |
| 7 | 93 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | 34 | |
| 11 | 12 | |
| 12 | 9 | |
| 13 | 24 | |
| 14 | 21 | |
| 15 | 43 | |
| 16 | 35 | |
| 17 | 27 | |
| 18 | 21 | |
| 19 | 24 | |
| 20 | 18 |
About Glenna C.L. Bett
Glenna C.L. Bett is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (38 papers), Ion channel regulation and function (36 papers) and Neuroscience and Neural Engineering (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Cellular and Molecular Neuroscience (712 citations) and Parasitology (149 citations). Glenna C.L. Bett has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Randall L. Rasmusson, Frederick Sachs, Vladimir E. Bondarenko, Aaron D. Kaplan, Guy Salama, Tao Zeng, Song-Jung Kim, Gyula P. Szigeti, Agnieszka Lis and Michael J. Morales. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Circulation Research.
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.