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
- Genetics 7
- Genetic Syndromes and Imprinting 5
- Bacterial Genetics and Biotechnology 2
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- Neuroscience and Neuropharmacology Research 5
- Co-authors
- Moritz von Rechenberg (2 shared papers)Tanneke den Blaauwen (2 shared papers)Waldemar Vollmer (2 shared papers)Erwin Sigel (5 shared papers)H. Bart van den Berg van Saparoea (1 shared paper)Robert J. Nichols (1 shared paper)Matylda Zietek (1 shared paper)Carol A. Gross (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Clinical Epigenetics (2 papers)Journal of Neurochemistry (1 paper)Journal of Neuroendocrinology (1 paper)Growth Hormone & IGF Research (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Kai Kannenberg
14 papers receiving 678 citations
Peers
Comparison fields: 5 of 69
- Molecular Medicine 103
- Genetics 401
- Endocrinology 53
- Cellular and Molecular Neuroscience 123
- Ecology 163
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 | 2010 | 309 | |
| 2 | 2006 | 157 | |
| 3 | 1999 | 42 | |
| 4 | 1997 | 39 | |
| 5 | 2011 | 30 | |
| 6 | 1996 | 29 | |
| 7 | 2001 | 21 | |
| 8 | 2012 | 14 | |
| 9 | 2012 | 12 | |
| 10 | 2014 | 12 | |
| 11 | 1999 | 9 | |
| 12 | 2007 | 7 | |
| 13 | 1995 | 4 | |
| 14 | 2015 | 1 |
About Kai Kannenberg
Kai Kannenberg is a scholar working on Genetics, Cellular and Molecular Neuroscience, Sensory Systems, Molecular Biology and Neurology, having authored 14 papers that have together received 686 indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Genomics and Phylogenetic Studies (2 papers), Prenatal Screening and Diagnostics (2 papers), Bacterial Genetics and Biotechnology (2 papers), Epigenetics and DNA Methylation (2 papers) and Olfactory and Sensory Function Studies (1 paper). The work is most often cited by research in Molecular Medicine (103 citations), Genetics (401 citations), Endocrinology (53 citations), Cellular and Molecular Neuroscience (123 citations) and Ecology (163 citations). Kai Kannenberg has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Moritz von Rechenberg, Tanneke den Blaauwen, Waldemar Vollmer, Erwin Sigel, H. Bart van den Berg van Saparoea, Robert J. Nichols, Matylda Zietek, Carol A. Gross, Katrin Beilharz and Eefjan J. Breukink. Their work appears in journals such as Journal of Biological Chemistry, Clinical Epigenetics, Journal of Neurochemistry, Journal of Neuroendocrinology 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.