Austin T. Hilliard

2.3k total citations
17 papers, 360 citations indexed

About

Austin T. Hilliard is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Developmental Biology. According to data from OpenAlex, Austin T. Hilliard has authored 17 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, Evolution, Behavior and Systematics, 6 papers in Genetics and 4 papers in Developmental Biology. Recurrent topics in Austin T. Hilliard's work include Animal Behavior and Reproduction (8 papers), Animal Vocal Communication and Behavior (4 papers) and Genetic Associations and Epidemiology (3 papers). Austin T. Hilliard is often cited by papers focused on Animal Behavior and Reproduction (8 papers), Animal Vocal Communication and Behavior (4 papers) and Genetic Associations and Epidemiology (3 papers). Austin T. Hilliard collaborates with scholars based in United States, Taiwan and Mexico. Austin T. Hilliard's co-authors include Stephanie A. White, Julie E. Miller, Russell D. Fernald, Steve Horvath, Elizabeth Fraley, Ryan A. York, Rosa Alcazar, Lisa Becker, Jasmine L. Loveland and Scott A. Juntti and has published in prestigious journals such as Circulation, Neuron and PLoS ONE.

In The Last Decade

Austin T. Hilliard

16 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Austin T. Hilliard United States 10 180 110 96 80 56 17 360
Lisa A. Mangiamele United States 12 205 1.1× 118 1.1× 131 1.4× 54 0.7× 74 1.3× 24 411
Julie M. Butler United States 13 152 0.8× 63 0.6× 159 1.7× 28 0.3× 106 1.9× 25 406
Chun‐Chun Chen United States 12 204 1.1× 178 1.6× 131 1.4× 123 1.5× 146 2.6× 15 645
Beau A. Alward United States 13 331 1.8× 245 2.2× 191 2.0× 80 1.0× 89 1.6× 26 474
Eric R. Schuppe United States 13 236 1.3× 97 0.9× 82 0.9× 66 0.8× 44 0.8× 21 357
Mukta Chakraborty United States 8 190 1.1× 172 1.6× 74 0.8× 37 0.5× 83 1.5× 10 346
Devaleena S. Pradhan United States 15 421 2.3× 129 1.2× 126 1.3× 143 1.8× 183 3.3× 26 674
Zachary J. Hall Canada 14 180 1.0× 113 1.0× 108 1.1× 24 0.3× 106 1.9× 19 394
Matthijs A. Zandbergen Netherlands 13 123 0.7× 151 1.4× 116 1.2× 190 2.4× 39 0.7× 16 516
Vera Brust Germany 10 251 1.4× 55 0.5× 165 1.7× 50 0.6× 146 2.6× 23 524

Countries citing papers authored by Austin T. Hilliard

Since Specialization
Citations

This map shows the geographic impact of Austin T. Hilliard'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 Austin T. Hilliard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Austin T. Hilliard more than expected).

Fields of papers citing papers by Austin T. Hilliard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Austin T. Hilliard. 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 Austin T. Hilliard. The network helps show where Austin T. Hilliard may publish in the future.

Co-authorship network of co-authors of Austin T. Hilliard

This figure shows the co-authorship network connecting the top 25 collaborators of Austin T. Hilliard. A scholar is included among the top collaborators of Austin T. Hilliard 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 Austin T. Hilliard. Austin T. Hilliard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Azizi, Zahra, Pik Fang Kho, Jiayan Zhou, et al.. (2025). Plasma proteomic signatures for type 2 diabetes and related traits in the UK Biobank cohort. Diabetes Research and Clinical Practice. 224. 112194–112194.
2.
Smith, Johanna L., Catherine Tcheandjieu, Ozan Dikilitas, et al.. (2024). Multi-Ancestry Polygenic Risk Score for Coronary Heart Disease Based on an Ancestrally Diverse Genome-Wide Association Study and Population-Specific Optimization. Circulation Genomic and Precision Medicine. 17(3). e004272–e004272. 8 indexed citations
3.
Salfati, Elias, Pik Fang Kho, Kruthika Iyer, et al.. (2023). Contemporary Polygenic Scores of Low-Density Lipoprotein Cholesterol and Coronary Artery Disease Predict Coronary Atherosclerosis in Adolescents and Young Adults. Circulation Genomic and Precision Medicine. 16(5). 480–482. 1 indexed citations
4.
Peloso, Gina M., Catherine Tcheandjieu, John E. McGeary, et al.. (2022). Genetic Loci Associated With COVID-19 Positivity and Hospitalization in White, Black, and Hispanic Veterans of the VA Million Veteran Program. Frontiers in Genetics. 12. 777076–777076. 7 indexed citations
5.
Polimanti, Renato, Frank R. Wendt, Gita A. Pathak, et al.. (2022). Understanding the comorbidity between posttraumatic stress severity and coronary artery disease using genome-wide information and electronic health records. Molecular Psychiatry. 27(10). 3961–3969. 8 indexed citations
6.
Friedman, Daniel, Ryan A. York, Austin T. Hilliard, & Deborah M. Gordon. (2020). Gene expression variation in the brains of harvester ant foragers is associated with collective behavior. Communications Biology. 3(1). 100–100. 20 indexed citations
7.
Alward, Beau A., Austin T. Hilliard, Ryan A. York, & Russell D. Fernald. (2019). Hormonal regulation of social ascent and temporal patterns of behavior in an African cichlid. Hormones and Behavior. 107. 83–95. 28 indexed citations
8.
Hilliard, Austin T., Dan Xie, Zhihai Ma, M Snyder, & Russell D. Fernald. (2019). Genome-wide effects of social status on DNA methylation in the brain of a cichlid fish, Astatotilapia burtoni. BMC Genomics. 20(1). 699–699. 9 indexed citations
9.
Tcheandjieu, Catherine, Xiang Zhu, Shining Ma, et al.. (2019). Abstract 012: Performance of Polygenic Risk Scores for Coronary Artery Disease in the Million Veteran Program. Circulation. 139(Suppl_1). 1 indexed citations
10.
11.
Huestis, Samantha, Grace Kao, Austin T. Hilliard, et al.. (2017). Multi-Family Pediatric Pain Group Therapy: Capturing Acceptance and Cultivating Change. Children. 4(12). 106–106. 18 indexed citations
12.
Juntti, Scott A., Austin T. Hilliard, Anusha Kumar, et al.. (2016). A Neural Basis for Control of Cichlid Female Reproductive Behavior by Prostaglandin F 2α. Current Biology. 26(7). 943–949. 65 indexed citations
13.
Alcazar, Rosa, et al.. (2016). Two types of dominant male cichlid fish: behavioral and hormonal characteristics. Biology Open. 5(8). 1061–1071. 16 indexed citations
14.
Alcazar, Rosa, et al.. (2014). Brains over Brawn: Experience overcomes a size disadvantage in fish social hierarchies. Journal of Experimental Biology. 217(Pt 9). 1462–8. 25 indexed citations
15.
Hilliard, Austin T., Julie E. Miller, Elizabeth Fraley, Steve Horvath, & Stephanie A. White. (2012). Molecular Microcircuitry Underlies Functional Specification in a Basal Ganglia Circuit Dedicated to Vocal Learning. Neuron. 73(3). 537–552. 84 indexed citations
16.
Hilliard, Austin T., Julie E. Miller, Steve Horvath, & Stephanie A. White. (2012). Distinct Neurogenomic States in Basal Ganglia Subregions Relate Differently to Singing Behavior in Songbirds. PLoS Computational Biology. 8(11). e1002773–e1002773. 18 indexed citations
17.
Miller, Julie E., Austin T. Hilliard, & Stephanie A. White. (2010). Song Practice Promotes Acute Vocal Variability at a Key Stage of Sensorimotor Learning. PLoS ONE. 5(1). e8592–e8592. 34 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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