George A. Gutman
- Molecular Biology top 0.2%
- Cellular and Molecular Neuroscience top 0.2%
- Cardiology and Cardiovascular Medicine top 0.5%
- Genetics top 0.5%
- Immunology top 1%
- Co-authors
- K. George ChandyGene LevinsonWilliam A. CatterallAnthony J. HarmarFlorian HofmannD. R. AbernethyDavid E. ClaphamMichael Spedding
- Topics
- Ion channel regulation and function (45 papers)Cardiac electrophysiology and arrhythmias (22 papers)Neuroscience and Neuropharmacology Research (16 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
George A. Gutman
101 papers receiving 15.5k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 10.1k
- Cellular and Molecular Neuroscience 4.5k
- Cardiology and Cardiovascular Medicine 2.7k
- Genetics 2.3k
- Immunology 2.0k
Countries citing papers authored by George A. Gutman
This map shows the geographic impact of George A. Gutman'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 George A. Gutman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George A. Gutman more than expected).
Fields of papers citing papers by George A. Gutman
This network shows the impact of papers produced by George A. Gutman. 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 George A. Gutman. The network helps show where George A. Gutman may publish in the future.
Co-authorship network of co-authors of George A. Gutman
This figure shows the co-authorship network connecting the top 25 collaborators of George A. Gutman. A scholar is included among the top collaborators of George A. Gutman 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 George A. Gutman. George A. Gutman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | International Union of Pharmacology. LII. Nomenclature and Molecular Relationships of Calcium-Activated Potassium Channelsbreakdown → | 822 |
| 3 | 97 | |
| 4 | 43 | |
| 5 | 364 | |
| 6 | 25 | |
| 7 | 80 | |
| 8 | 63 | |
| 9 | 121 | |
| 10 | 353 | |
| 11 | 347 | |
| 12 | 26 | |
| 13 | 3 | |
| 14 | 30 | |
| 15 | 221 | |
| 16 | Pharmacological characterization of five cloned voltage-gated K+ channels, types Kv1.1, 1.2, 1.3, 1.5, and 3.1, stably expressed in mammalian cell lines.breakdown → | 692 |
| 17 | 31 | |
| 18 | 13 | |
| 19 | 233 | |
| 20 | 16 |
About George A. Gutman
George A. Gutman is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 101 papers that have together received 16.0k indexed citations. Recurring topics across this work include Ion channel regulation and function (45 papers), Cardiac electrophysiology and arrhythmias (22 papers) and Neuroscience and Neuropharmacology Research (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.5k citations), Sensory Systems (928 citations) and Physiology (766 citations). George A. Gutman has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include K. George Chandy, Gene Levinson, William A. Catterall, Anthony J. Harmar, Florian Hofmann, D. R. Abernethy, David E. Clapham, Michael Spedding, Stephan Grissmer and Heike Wulff. Their work appears in journals such as Nature, Science and Cell.
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.