Johannes C Dahmen

1.6k total citations
21 papers, 1.0k citations indexed

About

Johannes C Dahmen is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Johannes C Dahmen has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Johannes C Dahmen's work include Neural dynamics and brain function (15 papers), Neuroscience and Music Perception (6 papers) and Multisensory perception and integration (5 papers). Johannes C Dahmen is often cited by papers focused on Neural dynamics and brain function (15 papers), Neuroscience and Music Perception (6 papers) and Multisensory perception and integration (5 papers). Johannes C Dahmen collaborates with scholars based in United Kingdom, Switzerland and France. Johannes C Dahmen's co-authors include Andrew J. King, Peter Keating, Sonja B. Hofer, Morgane Roth, Dylan R. Muir, Fabia Imhof, Francisco J. Martini, Fernando R. Nodal, Andreas Schulz and Douglas E. H. Hartley and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Johannes C Dahmen

20 papers receiving 994 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johannes C Dahmen United Kingdom 16 884 328 233 155 67 21 1.0k
Xiaofeng Ma United States 14 994 1.1× 323 1.0× 333 1.4× 181 1.2× 30 0.4× 32 1.2k
Lucy A. Anderson United Kingdom 15 699 0.8× 141 0.4× 345 1.5× 104 0.7× 48 0.7× 21 868
Craig A. Atencio United States 17 835 0.9× 238 0.7× 200 0.9× 76 0.5× 31 0.5× 28 941
David Pérez‐González Spain 17 1.2k 1.4× 176 0.5× 481 2.1× 252 1.6× 40 0.6× 32 1.4k
Enquan Gao United States 10 868 1.0× 422 1.3× 245 1.1× 124 0.8× 17 0.3× 12 994
Monty A. Escabı́ United States 23 1.6k 1.8× 501 1.5× 287 1.2× 183 1.2× 59 0.9× 46 1.8k
Anna R. Chambers United States 11 650 0.7× 270 0.8× 328 1.4× 61 0.4× 101 1.5× 17 795
Isabel Dean United Kingdom 5 540 0.6× 141 0.4× 253 1.1× 78 0.5× 76 1.1× 5 639
Sharon L. Sally Canada 12 564 0.6× 217 0.7× 187 0.8× 82 0.5× 25 0.4× 22 670

Countries citing papers authored by Johannes C Dahmen

Since Specialization
Citations

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

Fields of papers citing papers by Johannes C Dahmen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johannes C Dahmen. 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 Johannes C Dahmen. The network helps show where Johannes C Dahmen may publish in the future.

Co-authorship network of co-authors of Johannes C Dahmen

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes C Dahmen. A scholar is included among the top collaborators of Johannes C Dahmen 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 Johannes C Dahmen. Johannes C Dahmen 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.
Nodal, Fernando R., et al.. (2024). Neural processing in the primary auditory cortex following cholinergic lesions of the basal forebrain in ferrets. Hearing Research. 447. 109025–109025.
2.
King, Andrew J., et al.. (2023). Midbrain encodes sound detection behavior without auditory cortex. eLife. 12. 2 indexed citations
3.
Lohse, Michael, et al.. (2022). Integration of somatosensory and motor-related information in the auditory system. Frontiers in Neuroscience. 16. 1010211–1010211. 12 indexed citations
4.
Lohse, Michael, Johannes C Dahmen, Victoria M. Bajo, & Andrew J. King. (2021). Subcortical circuits mediate communication between primary sensory cortical areas in mice. Nature Communications. 12(1). 3916–3916. 37 indexed citations
5.
Panniello, Mariangela, et al.. (2020). Complexity of frequency receptive fields predicts tonotopic variability across species. eLife. 9. 18 indexed citations
6.
Panniello, Mariangela, Andrew J. King, Johannes C Dahmen, & Kerry M. M. Walker. (2017). Local and Global Spatial Organization of Interaural Level Difference and Frequency Preferences in Auditory Cortex. Cerebral Cortex. 28(1). 350–369. 20 indexed citations
7.
Lohse, Michael, et al.. (2017). Thalamic input to auditory cortex is locally heterogeneous but globally tonotopic. eLife. 6. 35 indexed citations
8.
Keating, Peter, et al.. (2016). Behavioral training promotes multiple adaptive processes following acute hearing loss. eLife. 5. e12264–e12264. 32 indexed citations
9.
Roth, Morgane, Johannes C Dahmen, Dylan R. Muir, et al.. (2015). Thalamic nuclei convey diverse contextual information to layer 1 of visual cortex. Nature Neuroscience. 19(2). 299–307. 246 indexed citations
10.
Keating, Peter, Johannes C Dahmen, & Andrew J. King. (2015). Complementary adaptive processes contribute to the developmental plasticity of spatial hearing. Nature Neuroscience. 18(2). 185–187. 36 indexed citations
11.
Barnstedt, Oliver, et al.. (2015). Functional Microarchitecture of the Mouse Dorsal Inferior Colliculus Revealed through In Vivo Two-Photon Calcium Imaging. Journal of Neuroscience. 35(31). 10927–10939. 48 indexed citations
12.
Barnstedt, Oliver, Peter Keating, Andrew J. King, & Johannes C Dahmen. (2014). Fine-scale tonotopic arrangement in the dorsal cortex of the mouse inferior colliculus studied with two-photon calcium imaging. 1 indexed citations
13.
Keating, Peter, Johannes C Dahmen, & Andrew J. King. (2013). Context-Specific Reweighting of Auditory Spatial Cues following Altered Experience during Development. Current Biology. 23(14). 1291–1299. 54 indexed citations
14.
Gais, Steffen, Björn Rasch, Johannes C Dahmen, Susan J. Sara, & Jan Born. (2011). The Memory Function of Noradrenergic Activity in Non-REM Sleep. Journal of Cognitive Neuroscience. 23(9). 2582–2592. 36 indexed citations
15.
King, Andrew J., et al.. (2011). Neural circuits underlying adaptation and learning in the perception of auditory space. Neuroscience & Biobehavioral Reviews. 35(10). 2129–2139. 28 indexed citations
16.
Dahmen, Johannes C, Peter Keating, Fernando R. Nodal, Andreas Schulz, & Andrew J. King. (2010). Adaptation to Stimulus Statistics in the Perception and Neural Representation of Auditory Space. Neuron. 66(6). 937–948. 121 indexed citations
17.
Dahmen, Johannes C, Douglas E. H. Hartley, & Andrew J. King. (2008). Stimulus-Timing-Dependent Plasticity of Cortical Frequency Representation. Journal of Neuroscience. 28(50). 13629–13639. 57 indexed citations
18.
Dahmen, Johannes C & Andrew J. King. (2007). Learning to hear: plasticity of auditory cortical processing. Current Opinion in Neurobiology. 17(4). 456–464. 105 indexed citations
19.
Chandrasekaran, Chandramouli, et al.. (2006). Neural Correlates of Disparity-Defined Shape Discrimination in the Human Brain. Journal of Neurophysiology. 97(2). 1553–1565. 73 indexed citations
20.
Dahmen, Johannes C & Philip J. Corr. (2003). Prepulse-elicited startle in prepulse inhibition. Biological Psychiatry. 55(1). 98–101. 28 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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