Kai Schönig
Impact in
- Aging top 2%
-
- Neuroscience and Neuropharmacology Research
Papers in
-
- Neurogenesis and neuroplasticity mechanisms 5
-
- Neuroscience and Neuropharmacology Research 10
- Neurotransmitter Receptor Influence on Behavior 4
- Co-authors
- Hermann BujardJean‐Paul ConcordetMaximilian HaeusslerAlena ShkumatavaJim KentJoffrey MiannéHélène EckertJean‐Stéphane Joly
- Journals
- PLoS ONE (6 papers)Journal of Neuroscience (4 papers)Nucleic Acids Research (3 papers)Scientific Reports (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Kai Schönig
48 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Aging 96
- Cellular and Molecular Neuroscience 596
- Molecular Biology 2.0k
- Business and International Management 56
- Developmental Neuroscience 87
Countries citing papers authored by Kai Schönig
This map shows the geographic impact of Kai Schönig'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 Kai Schönig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Schönig more than expected).
Fields of papers citing papers by Kai Schönig
This network shows the impact of papers produced by Kai Schönig. 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 Kai Schönig. The network helps show where Kai Schönig may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Schönig, 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 | 2025 | 0 | |
| 2 | 2022 | 4 | |
| 3 | 2019 | 14 | |
| 4 | 2018 | 12 | |
| 5 | 2017 | 23 | |
| 6 | Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR Hit paper breakdown → | 2016 | 1127 |
| 7 | 2016 | 32 | |
| 8 | 2015 | 114 | |
| 9 | 2014 | 5 | |
| 10 | 2014 | 14 | |
| 11 | 2013 | 20 | |
| 12 | 2010 | 22 | |
| 13 | 2010 | 36 | |
| 14 | 2009 | 4 | |
| 15 | 2008 | 219 | |
| 16 | 2007 | 11 | |
| 17 | 2005 | 33 | |
| 18 | 2004 | 67 | |
| 19 | 2003 | 11 | |
| 20 | 2003 | 49 |
About Kai Schönig
Kai Schönig is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Genetics and Sensory Systems, having authored 49 papers that have together received 3.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Neuroscience and Neuropharmacology Research (10 papers), CRISPR and Genetic Engineering (9 papers), Pluripotent Stem Cells Research (7 papers), RNA Interference and Gene Delivery (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). The work is most often cited by research in Aging (96 citations), Cellular and Molecular Neuroscience (596 citations), Molecular Biology (2.0k citations), Business and International Management (56 citations) and Developmental Neuroscience (87 citations). Kai Schönig has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Hermann Bujard, Jean‐Paul Concordet, Maximilian Haeussler, Alena Shkumatava, Jim Kent, Joffrey Mianné, Hélène Eckert, Jean‐Stéphane Joly, Sylvie Schneider‐Maunoury and Lydia Teboul. Their work appears in journals such as PLoS ONE, Journal of Neuroscience, Nucleic Acids Research, Scientific Reports and Journal of Biological Chemistry.
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.