Wayne N. Frankel
- Endocrine and Autonomic Systems top 0.1%
- Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function 6
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 31
- Neuroscience and Neural Engineering 6
- Molecular Biology top 2%
- Ion channel regulation and function 22
- CRISPR and Genetic Engineering 6
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- Genetics and Neurodevelopmental Disorders 10
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- Cellular transport and secretion 8
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- Cardiac electrophysiology and arrhythmias 5
- Co-authors
- F S BartlettAnthony N. van den PolChristelle PeyronPamela E. FoyeKaare M. GautvikThomas S. KilduffChiaki FukuharaXiao‐Bing Gao
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Wayne N. Frankel
72 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Endocrine and Autonomic Systems 2.6k
- Cognitive Neuroscience 2.9k
- Experimental and Cognitive Psychology 1.6k
- Cellular and Molecular Neuroscience 2.0k
- Molecular Biology 2.9k
Countries citing papers authored by Wayne N. Frankel
This map shows the geographic impact of Wayne N. Frankel'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 Wayne N. Frankel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne N. Frankel more than expected).
Fields of papers citing papers by Wayne N. Frankel
This network shows the impact of papers produced by Wayne N. Frankel. 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 Wayne N. Frankel. The network helps show where Wayne N. Frankel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wayne N. Frankel, 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 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 4 | |
| 7 | 2020 | 44 | |
| 8 | 2020 | 25 | |
| 9 | 2020 | 21 | |
| 10 | 2019 | 7 | |
| 11 | 2018 | 19 | |
| 12 | 2016 | 32 | |
| 13 | 2014 | 18 | |
| 14 | 2004 | 21 | |
| 15 | 2004 | 5 | |
| 16 | 2002 | 482 | |
| 17 | 2000 | 32 | |
| 18 | Absence Epilepsy in Tottering Mutant Mice Is Associated with Calcium Channel Defectsbreakdown → | 1996 | 596 |
| 19 | Correction: Disruption of the nuclear hormone receptor RORα in staggerer mice (Nature Journal (1996) 379 (736-739)) | 1996 | 31 |
| 20 | 1989 | 26 |
About Wayne N. Frankel
Wayne N. Frankel is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics, having authored 72 papers that have together received 7.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (31 papers), Ion channel regulation and function (22 papers), Genetics and Neurodevelopmental Disorders (10 papers), Cellular transport and secretion (8 papers), Neuroscience and Neural Engineering (6 papers), CRISPR and Genetic Engineering (6 papers), Neural dynamics and brain function (6 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.6k citations), Cognitive Neuroscience (2.9k citations) and Experimental and Cognitive Psychology (1.6k citations). Wayne N. Frankel has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include F S Bartlett, Anthony N. van den Pol, Christelle Peyron, Pamela E. Foye, Kaare M. Gautvik, Thomas S. Kilduff, Chiaki Fukuhara, Xiao‐Bing Gao, E Battenberg and Luı́s de Lecea. 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.