Geoffrey S. Pitt
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 22
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- Cardiac electrophysiology and arrhythmias 47
- Cardiomyopathy and Myosin Studies 6
- Cardiovascular Effects of Exercise 5
- Molecular Biology top 1%
- Ion channel regulation and function 54
- Fibroblast Growth Factor Research 7
- Receptor Mechanisms and Signaling 7
- Sensory Systems top 1%
- Aging top 5%
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- Cellular Mechanics and Interactions 7
- Co-authors
- Richard W. TsienH. RéuterRoger D. ZühlkeKarl DeisserothChaojian WangJames KimHai YanPeter N. Devreotes
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Geoffrey S. Pitt
89 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cellular and Molecular Neuroscience 1.9k
- Cardiology and Cardiovascular Medicine 2.2k
- Molecular Biology 4.1k
- Sensory Systems 282
- Aging 84
Countries citing papers authored by Geoffrey S. Pitt
This map shows the geographic impact of Geoffrey S. Pitt'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 S. Pitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey S. Pitt more than expected).
Fields of papers citing papers by Geoffrey S. Pitt
This network shows the impact of papers produced by Geoffrey S. Pitt. 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 S. Pitt. The network helps show where Geoffrey S. Pitt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Geoffrey S. Pitt, 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 | 5 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 11 | |
| 7 | 2020 | 24 | |
| 8 | 2020 | 158 | |
| 9 | 2018 | 44 | |
| 10 | 2017 | 31 | |
| 11 | 2013 | 48 | |
| 12 | 2013 | 72 | |
| 13 | Abstract 16031: Tnni3k is a Novel Modulator of Cardiac Conduction | 2011 | 1 |
| 14 | 2011 | 2 | |
| 15 | 2011 | 70 | |
| 16 | 2008 | 26 | |
| 17 | 2006 | 67 | |
| 18 | 2005 | 266 | |
| 19 | 2004 | 60 | |
| 20 | 1992 | 16 |
About Geoffrey S. Pitt
Geoffrey S. Pitt is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Sensory Systems, having authored 91 papers that have together received 5.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (54 papers), Cardiac electrophysiology and arrhythmias (47 papers), Neuroscience and Neuropharmacology Research (22 papers), Fibroblast Growth Factor Research (7 papers), Cellular Mechanics and Interactions (7 papers), Receptor Mechanisms and Signaling (7 papers), Cardiomyopathy and Myosin Studies (6 papers) and Cardiovascular Effects of Exercise (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Cardiology and Cardiovascular Medicine (2.2k citations) and Molecular Biology (4.1k citations). Geoffrey S. Pitt has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Richard W. Tsien, H. Réuter, Roger D. Zühlke, Karl Deisseroth, Chaojian Wang, James Kim, Hai Yan, Peter N. Devreotes, Andy Hudmon and Howard Schulman. 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.