Michael Wehr

5.5k total citations · 1 hit paper
43 papers, 3.8k citations indexed

About

Michael Wehr is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Michael Wehr has authored 43 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 27 papers in Cellular and Molecular Neuroscience and 12 papers in Sensory Systems. Recurrent topics in Michael Wehr's work include Neural dynamics and brain function (30 papers), Neuroscience and Neuropharmacology Research (14 papers) and Neuroscience and Music Perception (13 papers). Michael Wehr is often cited by papers focused on Neural dynamics and brain function (30 papers), Neuroscience and Neuropharmacology Research (14 papers) and Neuroscience and Music Perception (13 papers). Michael Wehr collaborates with scholars based in United States. Michael Wehr's co-authors include Anthony M. Zador, Gilles Laurent, Iryna Yavorska, Alexandra K. Moore, Michael R. DeWeese, Benjamin Scholl, Christian K. Machens, Xiang Gao, Aldis P. Weible and Cristopher M. Niell and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Michael Wehr

42 papers receiving 3.8k citations

Hit Papers

Balanced inhibition underlies tuning and sharpens spike t... 2003 2026 2010 2018 2003 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Wehr United States 23 3.0k 2.1k 936 350 290 43 3.8k
Jean‐Marc Edeline France 39 3.5k 1.2× 1.7k 0.8× 844 0.9× 191 0.5× 253 0.9× 103 4.3k
Li I. Zhang United States 40 4.1k 1.4× 3.2k 1.5× 908 1.0× 376 1.1× 895 3.1× 74 5.8k
Ehud Ahissar Israel 39 4.8k 1.6× 2.8k 1.3× 496 0.5× 309 0.9× 366 1.3× 97 5.6k
Nace L. Golding United States 21 2.0k 0.7× 1.7k 0.8× 966 1.0× 307 0.9× 467 1.6× 32 2.7k
James F.A. Poulet Germany 30 2.4k 0.8× 2.2k 1.0× 227 0.2× 232 0.7× 286 1.0× 47 3.6k
Frank W. Ohl Germany 35 2.4k 0.8× 1.1k 0.5× 438 0.5× 183 0.5× 253 0.9× 115 3.3k
Kamal Sen United States 19 2.4k 0.8× 1.4k 0.7× 200 0.2× 503 1.4× 259 0.9× 40 3.2k
Jessica A. Cardin United States 32 4.5k 1.5× 4.2k 2.0× 320 0.3× 252 0.7× 973 3.4× 57 6.5k
Huizhong W. Tao United States 44 4.5k 1.5× 4.0k 1.9× 746 0.8× 722 2.1× 1.1k 3.7× 86 6.2k
Anne K. Churchland United States 30 3.7k 1.2× 1.1k 0.5× 433 0.5× 219 0.6× 260 0.9× 52 4.4k

Countries citing papers authored by Michael Wehr

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wehr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Wehr

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Wehr. A scholar is included among the top collaborators of Michael Wehr 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 Wehr. Michael Wehr 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.
Wright, Anne L., et al.. (2025). Ketamine does not rescue plaque load or gap detection in the 5XFAD mouse model of Alzheimer's disease. Frontiers in Aging Neuroscience. 17. 1505908–1505908. 1 indexed citations
2.
Papadopoulos, Lia, Su‐Hyun Jo, Michael Wehr, et al.. (2025). Modulation of metastable ensemble dynamics explains the inverted-U relationship between tone discriminability and arousal in auditory cortex. Neuron. 114(4). 740–758.e19.
3.
Wehr, Michael, et al.. (2021). A Head-Mounted Multi-Camera System for Electrophysiology and Behavior in Freely-Moving Mice. Frontiers in Neuroscience. 14. 592417–592417. 13 indexed citations
4.
Weible, Aldis P., et al.. (2020). Disruption of Early or Late Epochs of Auditory Cortical Activity Impairs Speech Discrimination in Mice. Frontiers in Neuroscience. 13. 1394–1394. 4 indexed citations
5.
Weible, Aldis P., et al.. (2019). 5XFAD Mice Show Early Onset Gap Detection Deficits. Frontiers in Aging Neuroscience. 11. 66–66. 13 indexed citations
6.
Weible, Aldis P., et al.. (2019). Auditory Cortex Contributes to Discrimination of Pure Tones. eNeuro. 6(5). ENEURO.0340–19.2019. 18 indexed citations
7.
Hoy, Jennifer L., Iryna Yavorska, Michael Wehr, & Cristopher M. Niell. (2016). Vision Drives Accurate Approach Behavior during Prey Capture in Laboratory Mice. Current Biology. 26(22). 3046–3052. 129 indexed citations
8.
Weible, Aldis P., Christine Liu, Cristopher M. Niell, & Michael Wehr. (2014). Auditory Cortex Is Required for Fear Potentiation of Gap Detection. Journal of Neuroscience. 34(46). 15437–15445. 32 indexed citations
9.
Weible, Aldis P., Alexandra K. Moore, Christine Liu, et al.. (2014). Perceptual Gap Detection Is Mediated by Gap Termination Responses in Auditory Cortex. Current Biology. 24(13). 1447–1455. 71 indexed citations
10.
Moore, Alexandra K. & Michael Wehr. (2013). Parvalbumin-Expressing Inhibitory Interneurons in Auditory Cortex Are Well-Tuned for Frequency. Journal of Neuroscience. 33(34). 13713–13723. 161 indexed citations
11.
Wehr, Michael, et al.. (2013). Neuronal interaural level difference response shifts are level-dependent in the rat auditory cortex. Journal of Neurophysiology. 111(5). 930–938. 7 indexed citations
12.
Montgomery, Nathan D. & Michael Wehr. (2010). Auditory Cortical Neurons Convey Maximal Stimulus-Specific Information at Their Best Frequency. Journal of Neuroscience. 30(40). 13362–13366. 23 indexed citations
13.
Scholl, Benjamin, Xiang Gao, & Michael Wehr. (2008). Level Dependence of Contextual Modulation in Auditory Cortex. Journal of Neurophysiology. 99(4). 1616–1627. 26 indexed citations
14.
Wehr, Michael & Anthony M. Zador. (2005). Synaptic Mechanisms of Forward Suppression in Rat Auditory Cortex. Neuron. 47(3). 437–445. 320 indexed citations
15.
Machens, Christian K., Michael Wehr, & Anthony M. Zador. (2004). Linearity of Cortical Receptive Fields Measured with Natural Sounds. Journal of Neuroscience. 24(5). 1089–1100. 219 indexed citations
16.
Wehr, Michael & Anthony M. Zador. (2003). Balanced inhibition underlies tuning and sharpens spike timing in auditory cortex. Nature. 426(6965). 442–446. 1051 indexed citations breakdown →
17.
Machens, Christian K., Michael Wehr, & Anthony M. Zador. (2002). Spectro-Temporal Receptive Fields of Subthreshold Responses in Auditory Cortex. Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory). 15. 149–156. 12 indexed citations
18.
Wehr, Michael & Gilles Laurent. (1999). Relationship between Afferent and Central Temporal Patterns in the Locust Olfactory System. Journal of Neuroscience. 19(1). 381–390. 61 indexed citations
19.
Laurent, Gilles, Katrina M. MacLeod, Mark Stopfer, & Michael Wehr. (1998). Spatiotemporal Structure of Olfactory Inputs to the Mushroom Bodies. Learning & Memory. 5(1). 124–132. 27 indexed citations
20.
Laurent, Gilles, et al.. (1996). Temporal Representations of Odors in an Olfactory Network. Journal of Neuroscience. 16(12). 3837–3847. 276 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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