Kai Kannenberg
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Genetics top 5%
- Bacterial Genetics and Biotechnology
- Genetic Syndromes and Imprinting
Papers in
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- Neuroscience and Neuropharmacology Research 5
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- Prenatal Screening and Diagnostics 5
- Co-authors
- Tanneke den BlaauwenWaldemar VollmerMoritz von RechenbergJacob BiboyErwin SigelRobert J. NicholsH. Bart van den Berg van SaparoeaAthanasios Typas
- Journals
- Clinical Epigenetics (2 papers)Journal of Biological Chemistry (2 papers)Molecular Microbiology (1 paper)European Journal of Neuroscience (1 paper)Growth Hormone & IGF Research (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Kai Kannenberg
13 papers receiving 619 citations
Peers
Comparison fields: 5 of 67
- Molecular Medicine 101
- Genetics 383
- Endocrinology 56
- Ecology 158
- Molecular Biology 422
Countries citing papers authored by Kai Kannenberg
This map shows the geographic impact of Kai Kannenberg'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 Kannenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Kannenberg more than expected).
Fields of papers citing papers by Kai Kannenberg
This network shows the impact of papers produced by Kai Kannenberg. 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 Kannenberg. The network helps show where Kai Kannenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Kannenberg, 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 | 2015 | 1 | |
| 2 | 2014 | 12 | |
| 3 | 2012 | 11 | |
| 4 | 2012 | 13 | |
| 5 | 2011 | 25 | |
| 6 | 2010 | 293 | |
| 7 | 2007 | 7 | |
| 8 | 2006 | 149 | |
| 9 | 2001 | 21 | |
| 10 | 1999 | 9 | |
| 11 | 1999 | 41 | |
| 12 | 1997 | 39 | |
| 13 | 1995 | 5 |
About Kai Kannenberg
Kai Kannenberg is a scholar working on Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Genetics, Sensory Systems and Molecular Biology, having authored 13 papers that have together received 626 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Prenatal Screening and Diagnostics (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Genetic Syndromes and Imprinting (5 papers), Bacterial Genetics and Biotechnology (2 papers), Genomics and Phylogenetic Studies (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Molecular Medicine (101 citations), Genetics (383 citations), Endocrinology (56 citations), Ecology (158 citations) and Molecular Biology (422 citations). Kai Kannenberg has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Tanneke den Blaauwen, Waldemar Vollmer, Moritz von Rechenberg, Jacob Biboy, Erwin Sigel, Robert J. Nichols, H. Bart van den Berg van Saparoea, Athanasios Typas, Manuel Banzhaf and Matylda Zietek. Their work appears in journals such as Clinical Epigenetics, Journal of Biological Chemistry, Molecular Microbiology, European Journal of Neuroscience and Growth Hormone & IGF Research.
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.