Georg Kosche
Impact in
- Developmental Biology top 2%
- Animal Vocal Communication and Behavior
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 2
- Neuroscience and Neural Engineering 1
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- Animal Behavior and Reproduction 2
- Co-authors
- Daniela Vallentin (2 shared papers)Michael A. Long (2 shared papers)Dina Lipkind (1 shared paper)Botond Roska (3 shared papers)Martin Munz (3 shared papers)Dániel Hillier (2 shared papers)Alexandra Brignall (2 shared papers)Brigitte Gross-Scherf (2 shared papers)
- Journals
- Neuron (1 paper)Nature Biotechnology (1 paper)Science (1 paper)Journal of Neuroscience (1 paper)Cell (1 paper)
- Partner nations
- SwitzerlandGermanyHungary
In The Last Decade
Georg Kosche
5 papers receiving 287 citations
Peers
Comparison fields: 5 of 50
- Developmental Biology 122
- Cognitive Neuroscience 111
- Ecology, Evolution, Behavior and Systematics 107
- Cellular and Molecular Neuroscience 82
- Developmental Neuroscience 17
Countries citing papers authored by Georg Kosche
This map shows the geographic impact of Georg Kosche'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 Georg Kosche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Kosche more than expected).
Fields of papers citing papers by Georg Kosche
This network shows the impact of papers produced by Georg Kosche. 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 Georg Kosche. The network helps show where Georg Kosche may publish in the future.
Co-authors
The 25 scholars most cited alongside Georg Kosche, 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 | 2016 | 91 | |
| 2 | 2022 | 71 | |
| 3 | 2015 | 66 | |
| 4 | 2017 | 36 | |
| 5 | 2023 | 28 |
About Georg Kosche
Georg Kosche is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Developmental Biology, Ecology and Molecular Biology, having authored 5 papers that have together received 292 indexed citations. Recurring topics across this work include Animal Vocal Communication and Behavior (2 papers), Marine animal studies overview (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Animal Behavior and Reproduction (2 papers), Neuroscience and Neural Engineering (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Neural dynamics and brain function (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Developmental Biology (122 citations), Cognitive Neuroscience (111 citations), Ecology, Evolution, Behavior and Systematics (107 citations), Cellular and Molecular Neuroscience (82 citations) and Developmental Neuroscience (17 citations). Georg Kosche has collaborated with scholars based in Switzerland, Germany and Hungary. Frequent co-authors include Daniela Vallentin, Michael A. Long, Dina Lipkind, Botond Roska, Martin Munz, Dániel Hillier, Alexandra Brignall, Brigitte Gross-Scherf, Arjun Bharioke and Karl‐Klaus Conzelmann. Their work appears in journals such as Neuron, Nature Biotechnology, Science, Journal of Neuroscience and Cell.
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.