Christopher N. Balakrishnan

7.9k total citations
55 papers, 2.3k citations indexed

About

Christopher N. Balakrishnan is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Ecology. According to data from OpenAlex, Christopher N. Balakrishnan has authored 55 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Ecology, Evolution, Behavior and Systematics, 26 papers in Genetics and 17 papers in Ecology. Recurrent topics in Christopher N. Balakrishnan's work include Animal Behavior and Reproduction (26 papers), Genetic diversity and population structure (19 papers) and Animal Vocal Communication and Behavior (16 papers). Christopher N. Balakrishnan is often cited by papers focused on Animal Behavior and Reproduction (26 papers), Genetic diversity and population structure (19 papers) and Animal Vocal Communication and Behavior (16 papers). Christopher N. Balakrishnan collaborates with scholars based in United States, United Kingdom and Sweden. Christopher N. Balakrishnan's co-authors include Michael D. Sorenson, Scott V. Edwards, Márk E. Hauber, David F. Clayton, Robert B. Payne, Daniel Newhouse, Wesley C. Warren, Willie J. Swanson, Jennifer D. Calkins and Sarah B. Kingan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Christopher N. Balakrishnan

55 papers receiving 2.3k citations

Peers

Christopher N. Balakrishnan
David P. L. Toews United States
Jena L. Chojnowski United States
Akito Y. Kawahara United States
Ken Kraaijeveld Netherlands
Ben D. Marks United States
Jacob S. Berv United States
Kathleen J. Miglia United States
Jon H. Wetton United Kingdom
David P. L. Toews United States
Christopher N. Balakrishnan
Citations per year, relative to Christopher N. Balakrishnan Christopher N. Balakrishnan (= 1×) peers David P. L. Toews

Countries citing papers authored by Christopher N. Balakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Christopher N. Balakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher N. Balakrishnan. 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 Christopher N. Balakrishnan. The network helps show where Christopher N. Balakrishnan may publish in the future.

Co-authorship network of co-authors of Christopher N. Balakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher N. Balakrishnan. A scholar is included among the top collaborators of Christopher N. Balakrishnan 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 Christopher N. Balakrishnan. Christopher N. Balakrishnan 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.
London, Sarah E., Márk E. Hauber, Matthew I. M. Louder, & Christopher N. Balakrishnan. (2025). Simultaneous RNA Sequencing and DNA Methylation Profiling Reveals Neural Mechanisms That Regulate Sensitive Period Behavioral Learning. Genes Brain & Behavior. 24(4). e70031–e70031. 1 indexed citations
2.
Foote, Dustin J., et al.. (2022). Comparative transcriptome analysis of Indian domestic duck reveals candidate genes associated with egg production. Scientific Reports. 12(1). 10943–10943. 10 indexed citations
3.
Louder, Matthew I. M., et al.. (2020). Shared transcriptional responses to con- and heterospecific behavioral antagonists in a wild songbird. Scientific Reports. 10(1). 4092–4092. 13 indexed citations
4.
Lynch, Kathleen S., Lauren A. O’Connell, Matthew I. M. Louder, Christopher N. Balakrishnan, & Eva K. Fischer. (2019). Understanding the Loss of Maternal Care in Avian Brood Parasites Using Preoptic Area Transcriptome Comparisons in Brood Parasitic and Non-parasitic Blackbirds. G3 Genes Genomes Genetics. 9(4). 1075–1084. 7 indexed citations
5.
Horton, Brent M., Thomas B. Ryder, Ignacio T. Moore, & Christopher N. Balakrishnan. (2019). Gene expression in the social behavior network of the wire‐tailed manakin ( Pipra filicauda ) brain. Genes Brain & Behavior. 19(1). e12560–e12560. 12 indexed citations
6.
London, Sarah E., et al.. (2019). The variability of song variability in zebra finch ( Taeniopygia guttata ) populations. Royal Society Open Science. 6(5). 190273–190273. 6 indexed citations
7.
Newhouse, Daniel, et al.. (2019). Parent and offspring genotypes influence gene expression in early life. Molecular Ecology. 28(18). 4166–4180. 3 indexed citations
8.
Louder, Matthew I. M., et al.. (2019). Neural mechanisms of auditory species recognition in birds. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 94(5). 1619–1635. 17 indexed citations
9.
Newhouse, Daniel, Richard J. Hall, Jenna Oberstaller, et al.. (2019). Light pollution increases West Nile virus competence of a ubiquitous passerine reservoir species. Proceedings of the Royal Society B Biological Sciences. 286(1907). 20191051–20191051. 39 indexed citations
10.
Newhouse, Daniel, Erik H. Hofmeister, & Christopher N. Balakrishnan. (2017). Transcriptional response to West Nile virus infection in the zebra finch ( Taeniopygia guttata ). Royal Society Open Science. 4(6). 170296–170296. 11 indexed citations
11.
Hofmeister, Erik K., et al.. (2017). Susceptibility and Antibody Response of the Laboratory Model Zebra Finch (Taeniopygia guttata) to West Nile Virus. PLoS ONE. 12(1). e0167876–e0167876. 8 indexed citations
12.
Davidson, John H. & Christopher N. Balakrishnan. (2016). Gene Regulatory Evolution During Speciation in a Songbird. G3 Genes Genomes Genetics. 6(5). 1357–1364. 27 indexed citations
13.
Louder, Matthew I. M., et al.. (2016). Shared neural substrates for song discrimination in parental and parasitic songbirds. Neuroscience Letters. 622. 49–54. 20 indexed citations
14.
Tuttle, Elaina M., Alan O. Bergland, Marisa L. Korody, et al.. (2016). Divergence and Functional Degradation of a Sex Chromosome-like Supergene. Current Biology. 26(3). 344–350. 215 indexed citations
15.
Singhal, Sonal, Ellen M. Leffler, Isaac Turner, et al.. (2015). Stable recombination hotspots in birds. Science. 350(6263). 928–932. 226 indexed citations
16.
Toews, David P. L., Leonardo Campagna, Scott A. Taylor, et al.. (2015). Genomic approaches to understanding population divergence and speciation in birds. The Auk. 133(1). 13–30. 63 indexed citations
17.
Lin, Ya‐Chi, Christopher N. Balakrishnan, & David F. Clayton. (2014). Functional genomic analysis and neuroanatomical localization of miR-2954, a song-responsive sex-linked microRNA in the zebra finch. Frontiers in Neuroscience. 8. 409–409. 14 indexed citations
18.
Balakrishnan, Christopher N., Ya‐Chi Lin, Sarah E. London, & David F. Clayton. (2012). RNA-seq transcriptome analysis of male and female zebra finch cell lines. Genomics. 100(6). 363–369. 18 indexed citations
19.
Ekblom, Robert, Christopher N. Balakrishnan, Terry Burke, & Jon Slate. (2010). Digital gene expression analysis of the zebra finch genome. BMC Genomics. 11(1). 219–219. 41 indexed citations
20.
Clayton, David F., Christopher N. Balakrishnan, & Sarah E. London. (2009). Integrating Genomes, Brain and Behavior in the Study of Songbirds. Current Biology. 19(18). R865–R873. 43 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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