Shelley I. Fried
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neural Engineering 69
- Photoreceptor and optogenetics research 45
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 19
- Neural dynamics and brain function 12
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies 6
- Neurological disorders and treatments 3
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- Advanced Memory and Neural Computing 47
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- Retinal Development and Disorders 12
- Co-authors
- Seung Woo LeeFrank S. WerblinD. FreemanThomas A. MünchJoseph F. RizzoMaesoon ImDonald K. EddingtonF. Werblin
- Partner nations
- United StatesAustriaAustralia
In The Last Decade
Shelley I. Fried
82 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 2.1k
- Cognitive Neuroscience 881
- Neurology 237
- Electrical and Electronic Engineering 1.0k
- Molecular Biology 616
Countries citing papers authored by Shelley I. Fried
This map shows the geographic impact of Shelley I. Fried'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 Shelley I. Fried with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shelley I. Fried more than expected).
Fields of papers citing papers by Shelley I. Fried
This network shows the impact of papers produced by Shelley I. Fried. 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 Shelley I. Fried. The network helps show where Shelley I. Fried may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shelley I. Fried, 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 | 2023 | 4 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 29 | |
| 7 | 2021 | 49 | |
| 8 | 2020 | 15 | |
| 9 | 2020 | 5 | |
| 10 | Location-dependent AIS variations in mouse OFF-α T cells | 2019 | 1 |
| 11 | 2018 | 29 | |
| 12 | 2016 | 119 | |
| 13 | 2016 | 49 | |
| 14 | 2014 | 33 | |
| 15 | 2013 | 33 | |
| 16 | Activation of Retinal Ganglion Cells By Microcoil-Induced Magnetic Stimulation | 2012 | 1 |
| 17 | Low Frequency Sinusoids Avoid Axonal Stimulation With Retinal Prosthetics | 2010 | 2 |
| 18 | 2009 | 177 | |
| 19 | Two Different Parts of the Ganglion Cell Axon Are Activated by Epi-Retinal Electrical Stimulation | 2008 | 1 |
| 20 | 2007 | 18 |
About Shelley I. Fried
Shelley I. Fried is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 84 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (69 papers), Advanced Memory and Neural Computing (47 papers), Photoreceptor and optogenetics research (45 papers), EEG and Brain-Computer Interfaces (19 papers), Neural dynamics and brain function (12 papers), Retinal Development and Disorders (12 papers), Transcranial Magnetic Stimulation Studies (6 papers) and Neurological disorders and treatments (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Cognitive Neuroscience (881 citations) and Neurology (237 citations). Shelley I. Fried has collaborated with scholars based in United States, Austria and Australia. Frequent co-authors include Seung Woo Lee, Frank S. Werblin, D. Freeman, Thomas A. Münch, Joseph F. Rizzo, Maesoon Im, Donald K. Eddington, F. Werblin, Hain-Ann Hsueh and Changsi Cai. Their work appears in journals such as Nature, Nature Communications and Neuron.
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.