Geoffrey W. Abbott
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- Cardiac electrophysiology and arrhythmias 93
- Cardiomyopathy and Myosin Studies 7
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 38
- Neuroscience and Neural Engineering 8
- Molecular Biology top 1%
- Ion channel regulation and function 115
- Receptor Mechanisms and Signaling 14
- Ion Transport and Channel Regulation 7
- Sensory Systems top 2%
- Developmental Neuroscience top 5%
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- Cardiac Ischemia and Reperfusion 13
- Co-authors
- Steven A. GoldsteinTorsten K. RoepkeZoe A. McCrossanFederico SestiRían W. ManvilleGianina PanaghieMarianne E. BuckMichael H. Lehmann
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Geoffrey W. Abbott
146 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cardiology and Cardiovascular Medicine 3.7k
- Cellular and Molecular Neuroscience 1.9k
- Molecular Biology 5.3k
- Sensory Systems 173
- Developmental Neuroscience 106
Countries citing papers authored by Geoffrey W. Abbott
This map shows the geographic impact of Geoffrey W. Abbott'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 Geoffrey W. Abbott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey W. Abbott more than expected).
Fields of papers citing papers by Geoffrey W. Abbott
This network shows the impact of papers produced by Geoffrey W. Abbott. 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 Geoffrey W. Abbott. The network helps show where Geoffrey W. Abbott may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Geoffrey W. Abbott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 16 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 23 | |
| 13 | 2021 | 4 | |
| 14 | 2020 | 24 | |
| 15 | 2019 | 4 | |
| 16 | 2019 | 36 | |
| 17 | 2018 | 22 | |
| 18 | 2018 | 22 | |
| 19 | 2007 | 28 | |
| 20 | 2005 | 19 |
About Geoffrey W. Abbott
Geoffrey W. Abbott is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 150 papers that have together received 6.5k indexed citations. Recurring topics across this work include Ion channel regulation and function (115 papers), Cardiac electrophysiology and arrhythmias (93 papers), Neuroscience and Neuropharmacology Research (38 papers), Receptor Mechanisms and Signaling (14 papers), Cardiac Ischemia and Reperfusion (13 papers), Neuroscience and Neural Engineering (8 papers), Ion Transport and Channel Regulation (7 papers) and Cardiomyopathy and Myosin Studies (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.7k citations), Cellular and Molecular Neuroscience (1.9k citations) and Molecular Biology (5.3k citations). Geoffrey W. Abbott has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Steven A. Goldstein, Torsten K. Roepke, Zoe A. McCrossan, Federico Sesti, Rían W. Manville, Gianina Panaghie, Marianne E. Buck, Michael H. Lehmann, Mark T. Keating and Katherine W. Timothy. 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.