Julia Veit
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 6
- Visual perception and processing mechanisms 6
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- Neuroscience and Neuropharmacology Research 3
- Photoreceptor and optogenetics research 2
- Co-authors
- Gregor Rainer (7 shared papers)Hillel Adesnik (6 shared papers)Anna Jaźwińska (1 shared paper)Richard Hakim (2 shared papers)Monika P. Jadi (1 shared paper)Terrence J. Sejnowski (1 shared paper)Robert Kretz (5 shared papers)Alexander Naka (2 shared papers)
- Journals
- Neuron (3 papers)Nature Neuroscience (2 papers)BMC Neuroscience (1 paper)Nature Communications (1 paper)Journal of Proteomics (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Julia Veit
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 412
- Cellular and Molecular Neuroscience 307
- Cell Biology 88
- Developmental Neuroscience 19
- Molecular Biology 366
Countries citing papers authored by Julia Veit
This map shows the geographic impact of Julia Veit'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 Julia Veit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Veit more than expected).
Fields of papers citing papers by Julia Veit
This network shows the impact of papers produced by Julia Veit. 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 Julia Veit. The network helps show where Julia Veit may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Veit, 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 | 2011 | 333 | |
| 2 | 2017 | 269 | |
| 3 | 2019 | 118 | |
| 4 | 2019 | 91 | |
| 5 | 2015 | 84 | |
| 6 | 2015 | 68 | |
| 7 | 2022 | 42 | |
| 8 | 2013 | 40 | |
| 9 | 2013 | 26 | |
| 10 | 2011 | 24 | |
| 11 | 2012 | 22 | |
| 12 | 2012 | 18 | |
| 13 | 2017 | 11 | |
| 14 | 2026 | 0 |
About Julia Veit
Julia Veit is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Developmental Neuroscience, Anesthesiology and Pain Medicine and Neurology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (6 papers), Neuroscience and Neuropharmacology Research (3 papers), Photoreceptor and optogenetics research (2 papers), Anesthesia and Neurotoxicity Research (1 paper), Anesthesia and Sedative Agents (1 paper), Nicotinic Acetylcholine Receptors Study (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Cognitive Neuroscience (412 citations), Cellular and Molecular Neuroscience (307 citations), Cell Biology (88 citations), Developmental Neuroscience (19 citations) and Molecular Biology (366 citations). Julia Veit has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Gregor Rainer, Hillel Adesnik, Anna Jaźwińska, Richard Hakim, Monika P. Jadi, Terrence J. Sejnowski, Robert Kretz, Alexander Naka, Daniel P. Mossing and Benjamin Sivyer. Their work appears in journals such as Neuron, Nature Neuroscience, BMC Neuroscience, Nature Communications and Journal of Proteomics.
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.