Philipp Schnepel
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Autism Spectrum Disorder Research
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 2
- Autism Spectrum Disorder Research 1
- EEG and Brain-Computer Interfaces 1
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- Neuroscience and Neural Engineering 3
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Daniel E. Feldman (2 shared papers)Michelle Antoine (1 shared paper)Tomer Langberg (1 shared paper)Kelly B. Clancy (1 shared paper)Antara Rao (1 shared paper)Ad Aertsen (2 shared papers)Clémens Boucsein (2 shared papers)Martin Paul Nawrot (1 shared paper)
- Journals
- Nature Communications (1 paper)Journal of Neuroscience (1 paper)Current Biology (1 paper)Cerebral Cortex (1 paper)Neuron (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Philipp Schnepel
6 papers receiving 390 citations
Philipp Schnepel's Hit Papers
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 246
- Cellular and Molecular Neuroscience 184
- Developmental Neuroscience 23
- Genetics 132
- Sensory Systems 16
Countries citing papers authored by Philipp Schnepel
This map shows the geographic impact of Philipp Schnepel'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 Philipp Schnepel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Schnepel more than expected).
Fields of papers citing papers by Philipp Schnepel
This network shows the impact of papers produced by Philipp Schnepel. 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 Philipp Schnepel. The network helps show where Philipp Schnepel may publish in the future.
Co-authors
The 23 scholars most cited alongside Philipp Schnepel, 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 | Increased Excitation-Inhibition Ratio Stabilizes Synapse and Circuit Excitability in Four Autism Mouse Models Hit paper breakdown → | 2019 | 266 |
| 2 | 2015 | 62 | |
| 3 | 2014 | 34 | |
| 4 | 2011 | 31 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 1 |
About Philipp Schnepel
Philipp Schnepel is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Experimental and Cognitive Psychology and Neurology, having authored 6 papers that have together received 396 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (3 papers), Neural dynamics and brain function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Autism Spectrum Disorder Research (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Vagus Nerve Stimulation Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (246 citations), Cellular and Molecular Neuroscience (184 citations), Developmental Neuroscience (23 citations), Genetics (132 citations) and Sensory Systems (16 citations). Philipp Schnepel has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Daniel E. Feldman, Michelle Antoine, Tomer Langberg, Kelly B. Clancy, Antara Rao, Ad Aertsen, Clémens Boucsein, Martin Paul Nawrot, Arvind Kumar and Todd Levy. Their work appears in journals such as Nature Communications, Journal of Neuroscience, Current Biology, Cerebral Cortex and Neuron.
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.