Gary Yellen
- Cellular and Molecular Neuroscience top 0.1%
- Neuroscience and Neuropharmacology Research 49
- Neuroscience and Neural Engineering 11
- Photoreceptor and optogenetics research 8
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- Cardiac electrophysiology and arrhythmias 31
- Molecular Biology top 0.2%
- Ion channel regulation and function 61
- Nicotinic Acetylcholine Receptors Study 16
- Mitochondrial Function and Pathology 14
- Sensory Systems top 0.5%
- Biophysics top 0.5%
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- Adipose Tissue and Metabolism 9
- Co-authors
- Thomas BaukrowitzMark E. JurmanYin P. HungMiguel HolmgrenRoderick MacKinnonMathew TantamaPaula L. SmithDonato del Camino
- Journals
- The Journal of General Physiology (15 papers)Neuron (10 papers)Biophysical Journal (9 papers)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Gary Yellen
99 papers receiving 13.4k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Cellular and Molecular Neuroscience 6.7k
- Cardiology and Cardiovascular Medicine 4.9k
- Molecular Biology 11.3k
- Sensory Systems 469
- Biophysics 458
Countries citing papers authored by Gary Yellen
This map shows the geographic impact of Gary Yellen'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 Gary Yellen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Yellen more than expected).
Fields of papers citing papers by Gary Yellen
This network shows the impact of papers produced by Gary Yellen. 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 Gary Yellen. The network helps show where Gary Yellen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gary Yellen, 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 | 2025 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 75 | |
| 5 | 2023 | 18 | |
| 6 | 2022 | 56 | |
| 7 | 2020 | 142 | |
| 8 | 2018 | 30 | |
| 9 | 2017 | 326 | |
| 10 | 2014 | 21 | |
| 11 | 2012 | 1 | |
| 12 | 2011 | 117 | |
| 13 | 2011 | 394 | |
| 14 | 2006 | 40 | |
| 15 | 2004 | 175 | |
| 16 | 2002 | 90 | |
| 17 | 1998 | 184 | |
| 18 | 1996 | 391 | |
| 19 | 1994 | 260 | |
| 20 | 1989 | 28 |
About Gary Yellen
Gary Yellen is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Cardiology and Cardiovascular Medicine, having authored 100 papers that have together received 13.6k indexed citations. Recurring topics across this work include Ion channel regulation and function (61 papers), Neuroscience and Neuropharmacology Research (49 papers), Cardiac electrophysiology and arrhythmias (31 papers), Nicotinic Acetylcholine Receptors Study (16 papers), Mitochondrial Function and Pathology (14 papers), Neuroscience and Neural Engineering (11 papers), Adipose Tissue and Metabolism (9 papers) and Photoreceptor and optogenetics research (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.7k citations), Cardiology and Cardiovascular Medicine (4.9k citations) and Molecular Biology (11.3k citations). Gary Yellen has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Thomas Baukrowitz, Mark E. Jurman, Yin P. Hung, Miguel Holmgren, Roderick MacKinnon, Mathew Tantama, Paula L. Smith, Donato del Camino, Jim Berg and Rebecca Mongeon. Their work appears in journals such as The Journal of General Physiology, Neuron, Biophysical Journal, Nature 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.