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 5
- Co-authors
- Erkin Şeker (8 shared papers)Pamela J. Lein (3 shared papers)Rhianna K. Morgan (1 shared paper)Sam Kassegne (8 shared papers)Maria Vomero (8 shared papers)Davide Ricci (7 shared papers)Luciano Fadiga (7 shared papers)Elisa Castagnola (7 shared papers)
- Journals
- Advanced Biosystems (2 papers)Scientific Reports (1 paper)Journal of Neuroinflammation (1 paper)Journal of Micromechanics and Microengineering (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Noah Goshi
18 papers receiving 448 citations
Peers
Comparison fields: 5 of 75
- Cellular and Molecular Neuroscience 243
- Neurology 91
- Polymers and Plastics 112
- Developmental Neuroscience 27
- Biological Psychiatry 10
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 | 163 | |
| 2 | 2017 | 123 | |
| 3 | 2017 | 28 | |
| 4 | 2017 | 27 | |
| 5 | 2017 | 27 | |
| 6 | 2018 | 26 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2022 | 6 | |
| 11 | 2016 | 5 | |
| 12 | 2016 | 5 | |
| 13 | 2017 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2025 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2024 | 0 |
About Noah Goshi
Noah Goshi is a scholar working on Cellular and Molecular Neuroscience, Neurology, Polymers and Plastics, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 19 papers that have together received 454 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (11 papers), Conducting polymers and applications (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), EEG and Brain-Computer Interfaces (4 papers), Advanced Memory and Neural Computing (3 papers), Immune Response and Inflammation (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Electrochemical sensors and biosensors (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (243 citations), Neurology (91 citations), Polymers and Plastics (112 citations), Developmental Neuroscience (27 citations) and Biological Psychiatry (10 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, Maria Vomero, Davide Ricci, Luciano Fadiga, Elisa Castagnola, Stefano Carli and Emma Maggiolini. Their work appears in journals such as Advanced Biosystems, Scientific Reports, Journal of Neuroinflammation, Journal of Micromechanics and Microengineering and International Journal of Molecular 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.