Kai Kannenberg

827 total citations
13 papers, 626 citations indexed

About

Kai Kannenberg is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kai Kannenberg has authored 13 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kai Kannenberg's work include Genetic Syndromes and Imprinting (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Epigenetics and DNA Methylation (5 papers). Kai Kannenberg is often cited by papers focused on Genetic Syndromes and Imprinting (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Epigenetics and DNA Methylation (5 papers). Kai Kannenberg collaborates with scholars based in Germany, Switzerland and United States. Kai Kannenberg's co-authors include Waldemar Vollmer, Tanneke den Blaauwen, Moritz von Rechenberg, Eefjan Breukink, Jacob Biboy, Athanasios Typas, Katrin Beilharz, Matylda Zietek, Manuel Banzhaf and Jolanda Verheul and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Neurochemistry.

In The Last Decade

Kai Kannenberg

13 papers receiving 619 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kai Kannenberg Germany 10 422 383 158 101 97 13 626
Louise Baars Sweden 11 721 1.7× 435 1.1× 156 1.0× 62 0.6× 175 1.8× 14 998
Daniel Chi-Hong Lin United States 9 690 1.6× 713 1.9× 409 2.6× 104 1.0× 77 0.8× 10 1.2k
Mrinal Kapoor United States 5 249 0.6× 258 0.7× 126 0.8× 55 0.5× 13 0.1× 5 469
Kylie J. Watts United States 19 527 1.2× 292 0.8× 54 0.3× 33 0.3× 106 1.1× 28 706
Pier A. Scotti France 13 795 1.9× 569 1.5× 195 1.2× 43 0.4× 35 0.4× 17 958
Lorna Brundage United States 8 988 2.3× 793 2.1× 241 1.5× 58 0.6× 50 0.5× 9 1.2k
Michal Bejerano‐Sagie Israel 12 374 0.9× 156 0.4× 85 0.5× 28 0.3× 18 0.2× 18 578
Ester Behiels Belgium 4 270 0.6× 114 0.3× 57 0.4× 57 0.6× 100 1.0× 4 448
В. В. Губанов Russia 7 551 1.3× 165 0.4× 73 0.5× 32 0.3× 72 0.7× 7 644
Joseph L. Campbell United States 10 585 1.4× 317 0.8× 77 0.5× 35 0.3× 71 0.7× 13 743

Countries citing papers authored by Kai Kannenberg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kai Kannenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Kannenberg. A scholar is included among the top collaborators of Kai Kannenberg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai Kannenberg. Kai Kannenberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
2.
Kannenberg, Kai, et al.. (2014). IGF-I sensitivity in Silver–Russell syndrome with IGF2/H19 hypomethylation. Growth Hormone & IGF Research. 24(5). 187–191. 12 indexed citations
3.
4.
Kannenberg, Kai, et al.. (2012). Increased incidence of aberrant DNA methylation within diverse imprinted gene loci outside of IGF2 / H19 in Silver–Russell syndrome. Clinical Genetics. 81(4). 366–377. 13 indexed citations
5.
Binder, Gerhard, Matthias Begemann, Thomas Eggermann, & Kai Kannenberg. (2011). Silver–Russell syndrome. Best Practice & Research Clinical Endocrinology & Metabolism. 25(1). 153–160. 25 indexed citations
6.
Typas, Athanasios, Manuel Banzhaf, H. Bart van den Berg van Saparoea, et al.. (2010). Regulation of Peptidoglycan Synthesis by Outer-Membrane Proteins. Cell. 143(7). 1097–1109. 293 indexed citations
7.
8.
Bertsche, Ute, Claudine Fraipont, Mirjam E. G. Aarsman, et al.. (2006). Interaction between two murein (peptidoglycan) synthases, PBP3 and PBP1B, in Escherichia coli. Molecular Microbiology. 61(3). 675–690. 149 indexed citations
9.
Kannenberg, Kai, et al.. (2001). Interaction between GABAA Receptor β Subunits and the Multifunctional Protein gC1q-R. Journal of Biological Chemistry. 276(28). 26597–26604. 21 indexed citations
10.
Kannenberg, Kai, et al.. (1999). A Novel Serine Kinase with Specificity for β3-Subunits Is Tightly Associated with GABAA Receptors. Journal of Biological Chemistry. 274(30). 21257–21264. 9 indexed citations
11.
Kannenberg, Kai, Werner Sieghart, & H. Réuter. (1999). Clusters of GABAA receptors on cultured hippocampal cells correlate only partially with functional synapses. European Journal of Neuroscience. 11(4). 1256–1264. 41 indexed citations
12.
Kannenberg, Kai, Roland Baur, & Erwin Sigel. (1997). Proteins Associated with α1‐Subunit‐Containing GABAA Receptors from Bovine Brain. Journal of Neurochemistry. 68(4). 1352–1360. 39 indexed citations
13.
Kannenberg, Kai, Martin H. Groschup, & Erwin Sigel. (1995). Cellular prion protein and GABAA receptors. Neuroreport. 7(1). 77–80. 5 indexed citations

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.

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