Noah Goshi
Impact in
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- Neuroscience and Neural Engineering
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neuroscience and Neural Engineering 11
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- Neuroinflammation and Neurodegeneration Mechanisms 4
- Co-authors
- Erkin Şeker (8 shared papers)Pamela J. Lein (3 shared papers)Rhianna K. Morgan (1 shared paper)Sam Kassegne (9 shared papers)Davide Ricci (7 shared papers)Elisa Castagnola (7 shared papers)Luciano Fadiga (7 shared papers)Maria Vomero (8 shared papers)
- Journals
- Advanced Biosystems (2 papers)Biomedicines (1 paper)Nanomaterials (1 paper)Journal of Micromechanics and Microengineering (1 paper)IEEE Transactions on NanoBioscience (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Noah Goshi
18 papers receiving 484 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 251
- Neurology 84
- Polymers and Plastics 115
- Developmental Neuroscience 28
- Biological Psychiatry 9
Countries citing papers authored by Noah Goshi
This map shows the geographic impact of Noah Goshi'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 Noah Goshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Goshi more than expected).
Fields of papers citing papers by Noah Goshi
This network shows the impact of papers produced by Noah Goshi. 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 Noah Goshi. The network helps show where Noah Goshi may publish in the future.
Co-authors
The 25 scholars most cited alongside Noah Goshi, 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 | 2020 | 178 | |
| 2 | 2017 | 135 | |
| 3 | 2018 | 29 | |
| 4 | 2017 | 29 | |
| 5 | 2017 | 28 | |
| 6 | 2017 | 27 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 6 | |
| 11 | 2017 | 6 | |
| 12 | 2016 | 5 | |
| 13 | 2016 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2016 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2016 | 0 |
About Noah Goshi
Noah Goshi is a scholar working on Cellular and Molecular Neuroscience, Neurology, Polymers and Plastics, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 20 papers that have together received 492 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (11 papers), Conducting polymers and applications (6 papers), EEG and Brain-Computer Interfaces (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Advanced Memory and Neural Computing (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Molecular Junctions and Nanostructures (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (251 citations), Neurology (84 citations), Polymers and Plastics (115 citations), Developmental Neuroscience (28 citations) and Biological Psychiatry (9 citations). Noah Goshi has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Erkin Şeker, Pamela J. Lein, Rhianna K. Morgan, Sam Kassegne, Davide Ricci, Elisa Castagnola, Luciano Fadiga, Maria Vomero, Stefano Carli and Emma Maggiolini. Their work appears in journals such as Advanced Biosystems, Biomedicines, Nanomaterials, Journal of Micromechanics and Microengineering and IEEE Transactions on NanoBioscience.
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.