Michael Häusser

28.0k total citations · 5 hit papers
121 papers, 16.0k citations indexed

About

Michael Häusser is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Michael Häusser has authored 121 papers receiving a total of 16.0k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Cellular and Molecular Neuroscience, 92 papers in Cognitive Neuroscience and 28 papers in Neurology. Recurrent topics in Michael Häusser's work include Neural dynamics and brain function (87 papers), Neuroscience and Neuropharmacology Research (78 papers) and Neuroscience and Neural Engineering (27 papers). Michael Häusser is often cited by papers focused on Neural dynamics and brain function (87 papers), Neuroscience and Neuropharmacology Research (78 papers) and Neuroscience and Neural Engineering (27 papers). Michael Häusser collaborates with scholars based in United Kingdom, United States and Germany. Michael Häusser's co-authors include Greg J. Stuart, Arnd Roth, Michael London, Beverley A. Clark, Tiago Branco, Nelson Spruston, P. Jesper Sjöström, Paul Chadderton, Ede Rancz and Adam M. Packer and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Michael Häusser

120 papers receiving 15.8k citations

Hit Papers

DENDRITIC COMPUTATION 1997 2026 2006 2016 2005 2000 1997 2004 1997 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Häusser United Kingdom 66 11.8k 9.7k 3.5k 2.7k 1.9k 121 16.0k
Mriganka Sur United States 80 10.0k 0.8× 12.4k 1.3× 6.1k 1.8× 2.5k 0.9× 749 0.4× 266 22.1k
John Lisman United States 78 17.6k 1.5× 14.3k 1.5× 7.8k 2.2× 1.9k 0.7× 1.4k 0.7× 188 25.0k
Rafael Yuste United States 90 17.6k 1.5× 12.2k 1.3× 6.2k 1.8× 1.5k 0.6× 1.7k 0.9× 275 25.1k
Gina G. Turrigiano United States 62 14.8k 1.3× 11.3k 1.2× 5.7k 1.6× 2.1k 0.8× 3.0k 1.6× 106 19.9k
Henry Markram Switzerland 62 14.4k 1.2× 16.6k 1.7× 3.5k 1.0× 1.4k 0.5× 6.5k 3.5× 173 24.2k
Tobias Bonhoeffer Germany 74 14.4k 1.2× 8.8k 0.9× 5.6k 1.6× 1.9k 0.7× 747 0.4× 149 20.6k
Edward M. Callaway United States 71 10.3k 0.9× 10.1k 1.0× 4.5k 1.3× 957 0.4× 566 0.3× 155 17.3k
Yang Dan United States 59 8.3k 0.7× 10.9k 1.1× 2.0k 0.6× 848 0.3× 2.7k 1.4× 104 14.6k
Greg J. Stuart Australia 50 10.6k 0.9× 7.8k 0.8× 3.6k 1.0× 805 0.3× 1.5k 0.8× 78 12.5k
Jeffrey C. Magee United States 56 10.9k 0.9× 8.6k 0.9× 3.7k 1.1× 923 0.3× 1.6k 0.9× 85 13.6k

Countries citing papers authored by Michael Häusser

Since Specialization
Citations

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

Fields of papers citing papers by Michael Häusser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Häusser

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Häusser. A scholar is included among the top collaborators of Michael Häusser 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 Michael Häusser. Michael Häusser 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.
Russell, Lloyd, Mehmet Fişek, Zidan Yang, et al.. (2024). The influence of cortical activity on perception depends on behavioral state and sensory context. Nature Communications. 15(1). 2456–2456. 8 indexed citations
2.
Fişek, Mehmet, et al.. (2023). Cortico-cortical feedback engages active dendrites in visual cortex. Nature. 617(7962). 769–776. 30 indexed citations
3.
Russell, Lloyd, Henry Dalgleish, Rebecca Nutbrown, et al.. (2022). All-optical interrogation of neural circuits in behaving mice. Nature Protocols. 17(7). 1579–1620. 35 indexed citations
4.
Häusser, Michael, et al.. (2020). Microcircuit Rules Governing Impact of Single Interneurons on Purkinje Cell Output In Vivo. Cell Reports. 30(9). 3020–3035.e3. 37 indexed citations
5.
Beau, Maxime, et al.. (2020). Purkinje Cell Activity Determines the Timing of Sensory-Evoked Motor Initiation. Cell Reports. 33(12). 108537–108537. 19 indexed citations
6.
Dalgleish, Henry, Lloyd Russell, Adam M. Packer, et al.. (2020). How many neurons are sufficient for perception of cortical activity?. eLife. 9. 67 indexed citations
7.
Russell, Lloyd, Brendan A. Bicknell, Joanna Lau, et al.. (2020). Targeted Activation of Hippocampal Place Cells Drives Memory-Guided Spatial Behavior. Cell. 183(6). 1586–1599.e10. 151 indexed citations
8.
Schmidt‐Hieber, Christoph, Fernando J. Sialana, Lorenza Ciani, et al.. (2019). Loss of Bardet-Biedl syndrome proteins causes synaptic aberrations in principal neurons. PLoS Biology. 17(9). e3000414–e3000414. 16 indexed citations
9.
Russell, Lloyd, et al.. (2018). Closed-loop all-optical interrogation of neural circuits in vivo. Nature Methods. 15(12). 1037–1040. 106 indexed citations
10.
Aitchison, Laurence, Lloyd Russell, Adam M. Packer, et al.. (2017). Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit. Oxford University Research Archive (ORA) (University of Oxford). 30. 3486–3495. 9 indexed citations
11.
Roth, Arnd, et al.. (2014). Structured Connectivity in Cerebellar Inhibitory Networks. Neuron. 81(4). 913–929. 75 indexed citations
12.
Packer, Adam M., Lloyd Russell, Henry Dalgleish, & Michael Häusser. (2014). Simultaneous all-optical manipulation and recording of neural circuit activity with cellular resolution in vivo. Nature Methods. 12(2). 140–146. 368 indexed citations
13.
Buesing, Lars, et al.. (2013). Inferring neural population dynamics from multiple partial recordings of the same neural circuit. Max Planck Digital Library. 26. 539–547. 15 indexed citations
14.
Smith, Spencer L., et al.. (2013). Target-Specific Effects of Somatostatin-Expressing Interneurons on Neocortical Visual Processing. Journal of Neuroscience. 33(50). 19567–19578. 97 indexed citations
15.
Branco, Tiago, Beverley A. Clark, & Michael Häusser. (2010). Dendritic Discrimination of Temporal Input Sequences in Cortical Neurons. Science. 329(5999). 1671–1675. 323 indexed citations
16.
Sjöström, P. Jesper, Ede Rancz, Arnd Roth, & Michael Häusser. (2008). Dendritic Excitability and Synaptic Plasticity. Physiological Reviews. 88(2). 769–840. 499 indexed citations
17.
London, Michael, Matthew E. Larkum, & Michael Häusser. (2008). Predicting the synaptic information efficacy in cortical layer 5 pyramidal neurons using a minimal integrate-and-fire model. Biological Cybernetics. 99(4-5). 393–401. 12 indexed citations
18.
Roth, Arnd, Zoltán Nusser, & Michael Häusser. (2000). Monte Carlo simulations of synaptic transmission in detailed three-dimensional reconstructions of cerebellar neuropil.. UCL Discovery (University College London). 1 indexed citations
19.
Roth, Arnd & Michael Häusser. (1999). Compartmental models of rat cerebellar Purkinje cells constrained using simultaneous somatic and dendritic patch-clamp recording. UCL Discovery (University College London). 1 indexed citations
20.
Häusser, Michael, et al.. (1998). Shunting of EPSPs by action potentials. UCL Discovery (University College London). 2 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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