Michael S. Brainard

6.2k total citations
52 papers, 4.3k citations indexed

About

Michael S. Brainard is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Michael S. Brainard has authored 52 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Developmental Biology, 39 papers in Ecology, Evolution, Behavior and Systematics and 28 papers in Ecology. Recurrent topics in Michael S. Brainard's work include Animal Vocal Communication and Behavior (43 papers), Animal Behavior and Reproduction (39 papers) and Marine animal studies overview (28 papers). Michael S. Brainard is often cited by papers focused on Animal Vocal Communication and Behavior (43 papers), Animal Behavior and Reproduction (39 papers) and Marine animal studies overview (28 papers). Michael S. Brainard collaborates with scholars based in United States, Italy and Germany. Michael S. Brainard's co-authors include Allison J. Doupe, Eric I. Knudsen, Mimi H. Kao, Jon T. Sakata, Samuel J. Sober, EI Knudsen, Timothy L. Warren, Jonathan D. Charlesworth, Melville J. Wohlgemuth and David G. Mets and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael S. Brainard

51 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael S. Brainard United States 32 2.9k 2.4k 1.9k 1.2k 446 52 4.3k
Allison J. Doupe United States 36 4.5k 1.6× 3.8k 1.5× 3.0k 1.6× 1.5k 1.2× 358 0.8× 49 6.0k
Daniel Margoliash United States 36 4.0k 1.4× 3.3k 1.3× 2.8k 1.5× 1.7k 1.4× 555 1.2× 86 5.9k
Kazuo Okanoya Japan 37 3.4k 1.2× 2.6k 1.0× 1.8k 1.0× 1.5k 1.2× 726 1.6× 361 6.3k
Johan J. Bolhuis Netherlands 40 2.7k 0.9× 2.4k 1.0× 1.6k 0.8× 1.5k 1.3× 473 1.1× 120 5.7k
Claudio V. Mello United States 37 3.8k 1.3× 3.5k 1.4× 2.8k 1.5× 691 0.6× 157 0.4× 103 5.3k
Masakazu Konishi United States 45 4.2k 1.4× 3.2k 1.3× 2.8k 1.5× 2.2k 1.8× 371 0.8× 91 6.9k
Georg M. Klump Germany 33 1.8k 0.6× 1.8k 0.7× 1.2k 0.6× 1.3k 1.0× 196 0.4× 144 3.6k
Stewart H. Hulse United States 34 1.4k 0.5× 1.1k 0.5× 827 0.4× 1.8k 1.5× 465 1.0× 87 4.2k
Richard Mooney United States 53 3.3k 1.2× 2.9k 1.2× 2.3k 1.2× 2.4k 2.0× 397 0.9× 165 7.7k
J. Martin Wild New Zealand 49 3.6k 1.2× 3.2k 1.3× 2.5k 1.3× 995 0.8× 72 0.2× 113 6.0k

Countries citing papers authored by Michael S. Brainard

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Brainard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Brainard

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Brainard. A scholar is included among the top collaborators of Michael S. Brainard 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 S. Brainard. Michael S. Brainard 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.
Warren, Timothy L., et al.. (2024). Lesions in a songbird vocal circuit increase variability in song syntax. eLife. 13. 6 indexed citations
2.
Warren, Timothy L., et al.. (2023). Dynamic top-down biasing implements rapid adaptive changes to individual movements. eLife. 12. 3 indexed citations
3.
4.
Colquitt, Bradley M., Devin P. Merullo, Geneviève Konopka, Todd F. Roberts, & Michael S. Brainard. (2021). Cellular transcriptomics reveals evolutionary identities of songbird vocal circuits. Science. 371(6530). 94 indexed citations
5.
Veit, Lena, et al.. (2021). Songbirds can learn flexible contextual control over syllable sequencing. eLife. 10. 18 indexed citations
6.
Mets, David G. & Michael S. Brainard. (2019). Learning is enhanced by tailoring instruction to individual genetic differences. eLife. 8. 11 indexed citations
7.
Mets, David G. & Michael S. Brainard. (2018). An automated approach to the quantitation of vocalizations and vocal learning in the songbird. PLoS Computational Biology. 14(8). e1006437–e1006437. 14 indexed citations
8.
Troyer, Todd W., Michael S. Brainard, & Kristofer E. Bouchard. (2017). Timing during transitions in Bengalese finch song: implications for motor sequencing. Journal of Neurophysiology. 118(3). 1556–1566. 6 indexed citations
9.
Miller, Mark N., Chung Yan Cheung, & Michael S. Brainard. (2017). Vocal learning promotes patterned inhibitory connectivity. Nature Communications. 8(1). 2105–2105. 20 indexed citations
10.
Wittenbach, Jason D., Kristofer E. Bouchard, Michael S. Brainard, & Dezhe Z. Jin. (2015). An Adapting Auditory-motor Feedback Loop Can Contribute to Generating Vocal Repetition. PLoS Computational Biology. 11(10). e1004471–e1004471. 14 indexed citations
11.
Bouchard, Kristofer E. & Michael S. Brainard. (2013). Neural Encoding and Integration of Learned Probabilistic Sequences in Avian Sensory-Motor Circuitry. Journal of Neuroscience. 33(45). 17710–17723. 17 indexed citations
12.
Charlesworth, Jonathan D., Timothy L. Warren, & Michael S. Brainard. (2012). Covert skill learning in a cortical-basal ganglia circuit. Nature. 486(7402). 251–255. 81 indexed citations
13.
Sober, Samuel J. & Michael S. Brainard. (2012). Vocal learning is constrained by the statistics of sensorimotor experience. Proceedings of the National Academy of Sciences. 109(51). 21099–21103. 41 indexed citations
14.
Charlesworth, Jonathan D., et al.. (2011). Learning the microstructure of successful behavior. Nature Neuroscience. 14(3). 373–380. 54 indexed citations
15.
Sakata, Jon T., et al.. (2009). An Avian Basal Ganglia-Forebrain Circuit Contributes Differentially to Syllable Versus Sequence Variability of Adult Bengalese Finch Song. Journal of Neurophysiology. 101(6). 3235–3245. 69 indexed citations
16.
Brainard, Michael S., et al.. (2007). Performance variability enables adaptive plasticity of ‘crystallized’ adult birdsong. Nature. 450(7173). 1240–1244. 319 indexed citations
17.
Kao, Mimi H., Allison J. Doupe, & Michael S. Brainard. (2005). Contributions of an avian basal ganglia–forebrain circuit to real-time modulation of song. Nature. 433(7026). 638–643. 380 indexed citations
18.
Brainard, Michael S. & Allison J. Doupe. (2000). Auditory feedback in learning and maintenance of vocal behaviour. Nature reviews. Neuroscience. 1(1). 31–40. 229 indexed citations
19.
Knudsen, Eric I. & Michael S. Brainard. (1995). Creating a Unified Representation of Visual and Auditory Space in the Brain. Annual Review of Neuroscience. 18(1). 19–43. 120 indexed citations
20.
Brainard, Michael S.. (1994). Neural substrates of sound localization. Current Opinion in Neurobiology. 4(4). 557–562. 13 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Allison J. Doupe Breakdown of academic impact, for papers by Daniel Margoliash Breakdown of academic impact, for papers by Kazuo Okanoya Breakdown of academic impact, for papers by Johan J. Bolhuis Breakdown of academic impact, for papers by Claudio V. Mello Breakdown of academic impact, for papers by Masakazu Konishi Breakdown of academic impact, for papers by Georg M. Klump Breakdown of academic impact, for papers by Stewart H. Hulse Breakdown of academic impact, for papers by Richard Mooney Breakdown of academic impact, for papers by J. Martin Wild
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