Daniel Vogt
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
Papers in
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- Congenital heart defects research 4
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- Neuroscience and Neuropharmacology Research 18
- Nerve injury and regeneration 4
- Co-authors
- John L.R. Rubenstein (29 shared papers)Vikaas S. Sohal (10 shared papers)Anthony T. Lee (3 shared papers)Arturo Álvarez-Buylla (5 shared papers)Magnus Sandberg (5 shared papers)Arnold R. Kriegstein (3 shared papers)Bruce T. Lamb (2 shared papers)Sanjay W. Pimplikar (2 shared papers)
- Journals
- Neuron (7 papers)eLife (5 papers)Development (4 papers)Journal of Neuroscience (3 papers)Cerebral Cortex (3 papers)
- Partner nations
- United StatesSpainJapan
In The Last Decade
Daniel Vogt
47 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 88
- Developmental Neuroscience 592
- Cellular and Molecular Neuroscience 1.2k
- Cognitive Neuroscience 590
- Neurology 223
- Aging 34
Countries citing papers authored by Daniel Vogt
This map shows the geographic impact of Daniel Vogt'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 Daniel Vogt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Vogt more than expected).
Fields of papers citing papers by Daniel Vogt
This network shows the impact of papers produced by Daniel Vogt. 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 Daniel Vogt. The network helps show where Daniel Vogt may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Vogt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 404 | |
| 2 | 2009 | 209 | |
| 3 | 2012 | 166 | |
| 4 | 2013 | 153 | |
| 5 | 2014 | 145 | |
| 6 | 2017 | 131 | |
| 7 | 2016 | 118 | |
| 8 | 2011 | 115 | |
| 9 | 2016 | 103 | |
| 10 | 2015 | 103 | |
| 11 | 2009 | 97 | |
| 12 | 2014 | 94 | |
| 13 | 2017 | 64 | |
| 14 | 2017 | 63 | |
| 15 | 2007 | 57 | |
| 16 | 2014 | 56 | |
| 17 | 2017 | 41 | |
| 18 | 2016 | 41 | |
| 19 | 2019 | 37 | |
| 20 | 2019 | 35 |
About Daniel Vogt
Daniel Vogt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Genetics and Cognitive Neuroscience, having authored 48 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Neurogenesis and neuroplasticity mechanisms (16 papers), Genetics and Neurodevelopmental Disorders (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Neural dynamics and brain function (5 papers), Congenital heart defects research (4 papers), Autism Spectrum Disorder Research (4 papers) and Nerve injury and regeneration (4 papers). The work is most often cited by research in Developmental Neuroscience (592 citations), Cellular and Molecular Neuroscience (1.2k citations), Cognitive Neuroscience (590 citations), Neurology (223 citations) and Aging (34 citations). Daniel Vogt has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include John L.R. Rubenstein, Vikaas S. Sohal, Anthony T. Lee, Arturo Álvarez-Buylla, Magnus Sandberg, Arnold R. Kriegstein, Bruce T. Lamb, Sanjay W. Pimplikar, Jia Sheng Hu and Sattar Khoshkhoo. Their work appears in journals such as Neuron, eLife, Development, Journal of Neuroscience and Cerebral Cortex.
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.