James B. Aimone
Impact in
- Developmental Neuroscience top 0.05%
- Neurogenesis and neuroplasticity mechanisms
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research
- Axon Guidance and Neuronal Signaling
Papers in
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- Neurogenesis and neuroplasticity mechanisms 17
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- Neural dynamics and brain function 21
- Memory and Neural Mechanisms 13
- Co-authors
- Fred H. GageWei DengJanet WilesGregory D. ClemensonYan LiStar W. LeeKinichi NakashimaTomoko Kuwabara
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Neuron (4 papers)Nature Communications (3 papers)Nature Neuroscience (2 papers)Neural Computation (2 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
James B. Aimone
81 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Developmental Neuroscience 3.2k
- Cellular and Molecular Neuroscience 2.6k
- Neurology 1.0k
- Cognitive Neuroscience 1.7k
- Behavioral Neuroscience 273
Countries citing papers authored by James B. Aimone
This map shows the geographic impact of James B. Aimone'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 James B. Aimone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James B. Aimone more than expected).
Fields of papers citing papers by James B. Aimone
This network shows the impact of papers produced by James B. Aimone. 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 James B. Aimone. The network helps show where James B. Aimone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James B. Aimone, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 33 | |
| 13 | 2022 | 55 | |
| 14 | 2022 | 16 | |
| 15 | 2021 | 72 | |
| 16 | 2020 | 15 | |
| 17 | 2020 | 1 | |
| 18 | 2019 | 69 | |
| 19 | 2008 | 4 | |
| 20 | 2006 | 240 |
About James B. Aimone
James B. Aimone is a scholar working on Developmental Neuroscience, Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 89 papers that have together received 6.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (48 papers), Ferroelectric and Negative Capacitance Devices (31 papers), Neural dynamics and brain function (21 papers), Neural Networks and Reservoir Computing (17 papers), Neurogenesis and neuroplasticity mechanisms (17 papers), Neural Networks and Applications (14 papers), Memory and Neural Mechanisms (13 papers) and Neuroscience and Neuropharmacology Research (11 papers). The work is most often cited by research in Developmental Neuroscience (3.2k citations), Cellular and Molecular Neuroscience (2.6k citations), Neurology (1.0k citations), Cognitive Neuroscience (1.7k citations) and Behavioral Neuroscience (273 citations). James B. Aimone has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Fred H. Gage, Wei Deng, Janet Wiles, Gregory D. Clemenson, Yan Li, Star W. Lee, Kinichi Nakashima, Tomoko Kuwabara, Chunmei Zhao and Conrad D. James. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron, Nature Communications, Nature Neuroscience and Neural Computation.
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.