Julian Bartram
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Neurology top 10%
- Autoimmune Neurological Disorders and Treatments
- Peripheral Neuropathies and Disorders
Papers in
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- Neuroscience and Neural Engineering 11
- Neuroscience and Neuropharmacology Research 4
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- Neural dynamics and brain function 10
- Co-authors
- Bethan Lang (1 shared paper)Sukhvir Wright (1 shared paper)K. Hashemi (1 shared paper)Angela Vincent (1 shared paper)A. Louise Upton (1 shared paper)Damian P. Bright (1 shared paper)Massimiliano Renzi (1 shared paper)Georgina MacKenzie (1 shared paper)
- Journals
- Frontiers in Neuroinformatics (2 papers)Nature Communications (1 paper)Journal of Neuroscience (1 paper)PLoS ONE (1 paper)Journal of Neural Engineering (1 paper)
- Partner nations
- SwitzerlandUnited KingdomGermany
In The Last Decade
Julian Bartram
16 papers receiving 281 citations
Peers
Comparison fields: 5 of 53
- Cellular and Molecular Neuroscience 168
- Neurology 81
- Cognitive Neuroscience 86
- Electrochemistry 13
- Neurology 15
Countries citing papers authored by Julian Bartram
This map shows the geographic impact of Julian Bartram'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 Julian Bartram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Bartram more than expected).
Fields of papers citing papers by Julian Bartram
This network shows the impact of papers produced by Julian Bartram. 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 Julian Bartram. The network helps show where Julian Bartram may publish in the future.
Co-authors
The 25 scholars most cited alongside Julian Bartram, 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 | 2015 | 94 | |
| 2 | 2011 | 82 | |
| 3 | 2017 | 30 | |
| 4 | 2024 | 22 | |
| 5 | 2023 | 22 | |
| 6 | 2025 | 6 | |
| 7 | 2022 | 4 | |
| 8 | 2024 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2018 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2023 | 1 |
About Julian Bartram
Julian Bartram is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Molecular Biology and Cell Biology, having authored 16 papers that have together received 282 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (11 papers), Neural dynamics and brain function (10 papers), Neuroscience and Neuropharmacology Research (4 papers), Advanced Memory and Neural Computing (4 papers), Analog and Mixed-Signal Circuit Design (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper), Ion channel regulation and function (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (168 citations), Neurology (81 citations), Cognitive Neuroscience (86 citations), Electrochemistry (13 citations) and Neurology (15 citations). Julian Bartram has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Bethan Lang, Sukhvir Wright, K. Hashemi, Angela Vincent, A. Louise Upton, Damian P. Bright, Massimiliano Renzi, Georgina MacKenzie, Alastair M. Hosie and Stephen G. Brickley. Their work appears in journals such as Frontiers in Neuroinformatics, Nature Communications, Journal of Neuroscience, PLoS ONE and Journal of Neural Engineering.
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.