Knut Kirmse

1.2k total citations
30 papers, 827 citations indexed

About

Knut Kirmse is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Knut Kirmse has authored 30 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cellular and Molecular Neuroscience, 18 papers in Cognitive Neuroscience and 10 papers in Molecular Biology. Recurrent topics in Knut Kirmse's work include Neuroscience and Neuropharmacology Research (26 papers), Neural dynamics and brain function (15 papers) and Photoreceptor and optogenetics research (9 papers). Knut Kirmse is often cited by papers focused on Neuroscience and Neuropharmacology Research (26 papers), Neural dynamics and brain function (15 papers) and Photoreceptor and optogenetics research (9 papers). Knut Kirmse collaborates with scholars based in Germany, United Kingdom and Spain. Knut Kirmse's co-authors include Knut Holthoff, Sergei Kirischuk, Otto W. Witte, Rosemarie Grantyn, Anton Dvorzhak, Olga Garaschuk, Yury Kovalchuk, Chuanqiang Zhang, Stefan J. Kiebel and Tatyana Vagner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Knut Kirmse

30 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Knut Kirmse Germany 18 618 297 253 124 119 30 827
A. Louise Upton United Kingdom 11 700 1.1× 262 0.9× 349 1.4× 138 1.1× 95 0.8× 14 945
Douglas S.F. Ling United States 12 626 1.0× 287 1.0× 373 1.5× 69 0.6× 89 0.7× 20 821
Sara Migliarini Italy 15 408 0.7× 189 0.6× 300 1.2× 100 0.8× 56 0.5× 25 790
Verena Untiet Denmark 12 405 0.7× 187 0.6× 171 0.7× 96 0.8× 53 0.4× 17 716
Mark Dubach United States 16 479 0.8× 298 1.0× 178 0.7× 310 2.5× 102 0.9× 30 997
Michele L. Pucak United States 14 523 0.8× 420 1.4× 230 0.9× 47 0.4× 120 1.0× 14 961
Lucı́a Prensa Spain 18 771 1.2× 308 1.0× 252 1.0× 400 3.2× 75 0.6× 28 1.1k
Mikko Oijala United States 8 890 1.4× 502 1.7× 157 0.6× 71 0.6× 65 0.5× 9 1.1k
Tommas J. Ellender United Kingdom 14 972 1.6× 628 2.1× 295 1.2× 188 1.5× 59 0.5× 22 1.3k
Marvin A. Rossi United States 9 401 0.6× 312 1.1× 96 0.4× 90 0.7× 82 0.7× 26 611

Countries citing papers authored by Knut Kirmse

Since Specialization
Citations

This map shows the geographic impact of Knut Kirmse'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 Knut Kirmse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Knut Kirmse more than expected).

Fields of papers citing papers by Knut Kirmse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Knut Kirmse. 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 Knut Kirmse. The network helps show where Knut Kirmse may publish in the future.

Co-authorship network of co-authors of Knut Kirmse

This figure shows the co-authorship network connecting the top 25 collaborators of Knut Kirmse. A scholar is included among the top collaborators of Knut Kirmse 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 Knut Kirmse. Knut Kirmse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kirmse, Knut & Chuanqiang Zhang. (2022). Principles of GABAergic signaling in developing cortical network dynamics. Cell Reports. 38(13). 110568–110568. 18 indexed citations
2.
3.
Kirmse, Knut. (2021). Non-linear GABAA receptors promote synaptic inhibition in developing neurons. Pflügers Archiv - European Journal of Physiology. 474(2). 181–183. 1 indexed citations
4.
Zhang, Chuanqiang, Stephan Lawrence Marguet, Tanja Herrmann, et al.. (2021). A limited role of NKCC1 in telencephalic glutamatergic neurons for developing hippocampal network dynamics and behavior. Proceedings of the National Academy of Sciences. 118(14). 18 indexed citations
5.
Zhang, Chuanqiang, Shang Fa Yang, Shiqiang Gao, et al.. (2019). Optimized photo-stimulation of halorhodopsin for long-term neuronal inhibition. BMC Biology. 17(1). 95–95. 26 indexed citations
6.
Kiebel, Stefan J., et al.. (2019). Somatostatin Interneurons Promote Neuronal Synchrony in the Neonatal Hippocampus. Cell Reports. 26(12). 3173–3182.e5. 33 indexed citations
7.
Haselmann, Holger, Francesco Mannara, Christian Werner, et al.. (2018). Human Autoantibodies against the AMPA Receptor Subunit GluA2 Induce Receptor Reorganization and Memory Dysfunction. Neuron. 100(1). 91–105.e9. 85 indexed citations
8.
Prüß, Harald & Knut Kirmse. (2018). Pathogenic role of autoantibodies against inhibitory synapses. Brain Research. 1701. 146–152. 9 indexed citations
9.
Dvorzhak, Anton, Tatyana Vagner, Knut Kirmse, & Rosemarie Grantyn. (2016). Functional Indicators of Glutamate Transport in Single Striatal Astrocytes and the Influence of Kir4.1 in Normal and Huntington Mice. Journal of Neuroscience. 36(18). 4959–4975. 48 indexed citations
10.
Kirmse, Knut, et al.. (2015). GABA depolarizes immature neurons and inhibits network activity in the neonatal neocortex in vivo. Nature Communications. 6(1). 7750–7750. 162 indexed citations
11.
12.
Kirmse, Knut, Otto W. Witte, & Knut Holthoff. (2011). GABAergic depolarization during early cortical development and implications for anticonvulsive therapy in neonates. Epilepsia. 52(9). 1532–1543. 17 indexed citations
13.
Dvorzhak, Anton, et al.. (2010). Estimation of ambient GABA levels in layer I of the mouse neonatal cortex in brain slices. The Journal of Physiology. 588(13). 2351–2360. 22 indexed citations
14.
Kirmse, Knut, Otto W. Witte, & Knut Holthoff. (2010). GABA Depolarizes Immature Neocortical Neurons in the Presence of the Ketone Body β-Hydroxybutyrate. Journal of Neuroscience. 30(47). 16002–16007. 36 indexed citations
15.
Kirmse, Knut, Sergei Kirischuk, & Rosemarie Grantyn. (2009). Role of GABA transporter 3 in GABAergic synaptic transmission at striatal output neurons. Synapse. 63(10). 921–929. 30 indexed citations
16.
Kirmse, Knut, Anton Dvorzhak, Sergei Kirischuk, & Rosemarie Grantyn. (2008). GABA transporter 1 tunes GABAergic synaptic transmission at output neurons of the mouse neostriatum. The Journal of Physiology. 586(23). 5665–5678. 36 indexed citations
17.
Dvorzhak, Anton, et al.. (2008). Postsynaptically different inhibitory postsynaptic currents in Cajal–Retzius cells in the developing neocortex. Neuroreport. 19(12). 1213–1216. 4 indexed citations
18.
Kirmse, Knut, Anton Dvorzhak, Rosemarie Grantyn, & Sergei Kirischuk. (2007). Developmental Downregulation of Excitatory GABAergic Transmission in Neocortical Layer I via Presynaptic Adenosine A1 Receptors. Cerebral Cortex. 18(2). 424–432. 17 indexed citations
19.
Kirmse, Knut & Sergei Kirischuk. (2006). Ambient GABA Constrains the Strength of GABAergic Synapses at Cajal-Retzius Cells in the Developing Visual Cortex. Journal of Neuroscience. 26(16). 4216–4227. 63 indexed citations
20.
Kirmse, Knut, Rosemarie Grantyn, & Sergei Kirischuk. (2005). Developmental downregulation of low‐voltage‐activated Ca2+ channels in Cajal‐Retzius cells of the mouse visual cortex. European Journal of Neuroscience. 21(12). 3269–3276. 11 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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