Manuel S. Malmierca

7.6k total citations
97 papers, 5.1k citations indexed

About

Manuel S. Malmierca is a scholar working on Cognitive Neuroscience, Sensory Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Manuel S. Malmierca has authored 97 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cognitive Neuroscience, 48 papers in Sensory Systems and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Manuel S. Malmierca's work include Neural dynamics and brain function (51 papers), Neuroscience and Music Perception (48 papers) and Hearing, Cochlea, Tinnitus, Genetics (47 papers). Manuel S. Malmierca is often cited by papers focused on Neural dynamics and brain function (51 papers), Neuroscience and Music Perception (48 papers) and Hearing, Cochlea, Tinnitus, Genetics (47 papers). Manuel S. Malmierca collaborates with scholars based in Spain, United States and United Kingdom. Manuel S. Malmierca's co-authors include David Pérez‐González, Adrian Rees, Ellen Covey, Flora M. Antunes, Yaneri A. Ayala, Guillermo V. Carbajal, Douglas L. Oliver, Miguel Á. Merchán, Fiona E. N. LeBeau and Daniel Duque and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Manuel S. Malmierca

91 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel S. Malmierca Spain 44 4.3k 2.3k 947 718 354 97 5.1k
Adrian Rees United Kingdom 34 3.8k 0.9× 1.9k 0.8× 419 0.4× 672 0.9× 388 1.1× 74 4.6k
Jeffery A. Winer United States 47 4.2k 1.0× 2.0k 0.9× 1.9k 2.0× 602 0.8× 450 1.3× 78 5.5k
Dexter R. F. Irvine Australia 45 4.5k 1.0× 2.7k 1.2× 756 0.8× 888 1.2× 597 1.7× 108 5.4k
Philip X. Joris Belgium 34 4.3k 1.0× 3.6k 1.5× 667 0.7× 373 0.5× 926 2.6× 91 5.2k
Rudolf Rübsamen Germany 31 1.9k 0.4× 1.3k 0.6× 784 0.8× 444 0.6× 232 0.7× 86 2.9k
Tom C. T. Yin United States 42 5.2k 1.2× 3.8k 1.7× 820 0.9× 792 1.1× 1.2k 3.5× 81 6.7k
Dan H. Sanes United States 41 2.9k 0.7× 2.2k 0.9× 1.7k 1.7× 247 0.3× 337 1.0× 104 4.3k
Terrence R. Stanford United States 40 4.2k 1.0× 2.1k 0.9× 681 0.7× 2.5k 3.4× 186 0.5× 85 5.7k
Troy A. Hackett United States 35 4.6k 1.1× 990 0.4× 704 0.7× 1.8k 2.5× 232 0.7× 74 5.6k
Daniel B. Polley United States 38 3.7k 0.9× 1.8k 0.8× 1.4k 1.5× 392 0.5× 199 0.6× 79 5.0k

Countries citing papers authored by Manuel S. Malmierca

Since Specialization
Citations

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

Fields of papers citing papers by Manuel S. Malmierca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel S. Malmierca. 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 Manuel S. Malmierca. The network helps show where Manuel S. Malmierca may publish in the future.

Co-authorship network of co-authors of Manuel S. Malmierca

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel S. Malmierca. A scholar is included among the top collaborators of Manuel S. Malmierca 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 Manuel S. Malmierca. Manuel S. Malmierca 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.
Li, Qiuyu, Cheng Chang, Hisashi Tanigawa, et al.. (2025). Hierarchical Temporal Processing in the Primate Thalamocortical System: Insights from Nonlinguistic Structured Stimuli. Research. 8. 960–960.
2.
3.
Pérez‐González, David, et al.. (2024). Physiological properties of auditory neurons responding to omission deviants in the anesthetized rat. Hearing Research. 452. 109107–109107. 2 indexed citations
4.
Carbajal, Guillermo V., et al.. (2024). Two Prediction Error Systems in the Nonlemniscal Inferior Colliculus: Spectral and Nonspectral. Journal of Neuroscience. 44(23). e1420232024–e1420232024. 5 indexed citations
5.
Johannesen, Peter T., et al.. (2024). How ‘hidden hearing loss’ noise exposure affects neural coding in the inferior colliculus of rats. Hearing Research. 443. 108963–108963.
6.
Pérez‐González, David, et al.. (2023). NEURONAL RESPONSES TO OMITTED TONES IN THE AUDITORY BRAIN: A NEURONAL CORRELATE FOR PREDICTIVE CODING. IBRO Neuroscience Reports. 15. S315–S315. 1 indexed citations
7.
Terreros, Gonzalo, et al.. (2023). Novelty detection in an auditory oddball task on freely moving rats. Communications Biology. 6(1). 1063–1063. 6 indexed citations
8.
Pérez‐González, David, et al.. (2023). Neuronal responses to omitted tones in the auditory brain: A neuronal correlate for predictive coding. Science Advances. 9(24). 20 indexed citations
9.
Parras, Gloria G., et al.. (2021). The posterior auditory field is the chief generator of prediction error signals in the auditory cortex. NeuroImage. 242. 118446–118446. 16 indexed citations
10.
Pérez‐González, David, et al.. (2020). Deviance detection in physiologically identified cell types in the rat auditory cortex. Hearing Research. 399. 107997–107997. 17 indexed citations
11.
Malmierca, Manuel S., et al.. (2018). Pattern-sensitive neurons reveal encoding of complex auditory regularities in the rat inferior colliculus. NeuroImage. 184. 889–900. 17 indexed citations
12.
Carbajal, Guillermo V. & Manuel S. Malmierca. (2017). The unique role of the non-lemniscal pathway on stimulus-specific adaptation (SSA) in the auditory system. 6. 95–106.
13.
Ayala, Yaneri A., David Pérez‐González, Daniel Duque, Israel Nelken, & Manuel S. Malmierca. (2013). Frequency discrimination and stimulus deviance in the inferior colliculus and cochlear nucleus. Frontiers in Neural Circuits. 6. 119–119. 71 indexed citations
14.
Pérez‐González, David, Olga Hernández, Ellen Covey, & Manuel S. Malmierca. (2012). GABAA-Mediated Inhibition Modulates Stimulus-Specific Adaptation in the Inferior Colliculus. PLoS ONE. 7(3). e34297–e34297. 72 indexed citations
15.
Malmierca, Manuel S., Olga Hernández, Flora M. Antunes, & Adrian Rees. (2009). Divergent and point‐to‐point connections in the commissural pathway between the inferior colliculi. The Journal of Comparative Neurology. 514(3). 226–239. 41 indexed citations
16.
Anderson, Lucy A., Manuel S. Malmierca, Mark N. Wallace, & Alan R. Palmer. (2006). Evidence for a direct, short latency projection from the dorsal cochlear nucleus to the auditory thalamus in the guinea pig. European Journal of Neuroscience. 24(2). 491–498. 46 indexed citations
17.
Hernández, Olga, Adrian Rees, & Manuel S. Malmierca. (2006). A GABAergic component in the commissure of the inferior colliculus in rat. Neuroreport. 17(15). 1611–1614. 47 indexed citations
18.
Rees, Adrian & Manuel S. Malmierca. (2005). Processing of Dynamic Spectral Properties of Sounds. International review of neurobiology. 70. 299–330. 10 indexed citations
19.
Malmierca, Manuel S., Jan G. Bjaalie, & Enrico Mugnaini. (2005). Theodor W. Blackstad (1925–2003): a pioneer in quantitative neuroanatomy. Neuroscience. 136(3). 601–606. 1 indexed citations
20.
Pérez‐González, David, et al.. (2005). Duration Selective Neurons in the Inferior Colliculus of the Rat: Topographic Distribution and Relation of Duration Sensitivity to Other Response Properties. Journal of Neurophysiology. 95(2). 823–836. 80 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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