G. Troy Smith

2.4k total citations
60 papers, 1.7k citations indexed

About

G. Troy Smith is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, G. Troy Smith has authored 60 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Nature and Landscape Conservation, 28 papers in Ecology, Evolution, Behavior and Systematics and 12 papers in Ecology. Recurrent topics in G. Troy Smith's work include Fish biology, ecology, and behavior (30 papers), Animal Behavior and Reproduction (23 papers) and Ichthyology and Marine Biology (20 papers). G. Troy Smith is often cited by papers focused on Fish biology, ecology, and behavior (30 papers), Animal Behavior and Reproduction (23 papers) and Ichthyology and Marine Biology (20 papers). G. Troy Smith collaborates with scholars based in United States, United Kingdom and Brazil. G. Troy Smith's co-authors include John C. Wingfield, Eliot A. Brenowitz, Michael D. Beecher, Richard R. Veit, Adriana D. Briscoe, J. C. Wingfield, Anthony D. Tramontin, Harold H. Zakon, Michael G. Ritchie and Creagh W. Breuner and has published in prestigious journals such as Journal of Neuroscience, The Journal of Comparative Neurology and Brain Research.

In The Last Decade

G. Troy Smith

58 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Troy Smith United States 23 973 644 584 410 218 60 1.7k
Leo J. Fleishman United States 26 1.9k 2.0× 295 0.5× 354 0.6× 220 0.5× 321 1.5× 39 2.4k
Andries Ter Maat Netherlands 28 823 0.8× 339 0.5× 553 0.9× 82 0.2× 195 0.9× 53 1.5k
James R. Millam United States 25 729 0.7× 186 0.3× 419 0.7× 143 0.3× 199 0.9× 83 1.8k
L.E.L. Rasmussen United States 32 620 0.6× 186 0.3× 880 1.5× 518 1.3× 338 1.6× 65 2.3k
Walter Hödl Austria 41 2.6k 2.7× 1.3k 2.0× 746 1.3× 362 0.9× 407 1.9× 99 3.7k
Anders Ödeen Sweden 21 1.1k 1.1× 93 0.1× 574 1.0× 163 0.4× 300 1.4× 36 1.6k
Jon T. Sakata United States 23 1.1k 1.2× 878 1.4× 587 1.0× 105 0.3× 204 0.9× 68 1.7k
Diana K. Hews United States 27 1.8k 1.8× 99 0.2× 338 0.6× 258 0.6× 274 1.3× 58 2.1k
Luke Remage‐Healey United States 30 1.5k 1.6× 1.1k 1.6× 1.1k 1.8× 98 0.2× 571 2.6× 68 3.0k
Rosemary Knapp United States 26 1.4k 1.5× 233 0.4× 617 1.1× 318 0.8× 259 1.2× 50 1.9k

Countries citing papers authored by G. Troy Smith

Since Specialization
Citations

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

Fields of papers citing papers by G. Troy Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Troy Smith. 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 G. Troy Smith. The network helps show where G. Troy Smith may publish in the future.

Co-authorship network of co-authors of G. Troy Smith

This figure shows the co-authorship network connecting the top 25 collaborators of G. Troy Smith. A scholar is included among the top collaborators of G. Troy Smith 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 G. Troy Smith. G. Troy Smith 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.
Smith, G. Troy, et al.. (2024). Differential expression of steroid-related genes across electrosensory brain regions in two sexually dimorphic species of electric knifefish. General and Comparative Endocrinology. 355. 114549–114549. 3 indexed citations
2.
Smith, G. Troy, et al.. (2024). Species variation in steroid hormone-related gene expression contributes to species diversity in sexually dimorphic communication in electric fishes. Hormones and Behavior. 164. 105576–105576. 1 indexed citations
3.
Liu, Xu, et al.. (2023). Evolution of androgen receptors contributes to species variation in androgenic regulation of communication signals in electric fishes. Molecular and Cellular Endocrinology. 578. 112068–112068. 5 indexed citations
4.
McCulloch, Kyle J., Furong Yuan, Ying Zhen, et al.. (2017). Sexual Dimorphism and Retinal Mosaic Diversification following the Evolution of a Violet Receptor in Butterflies. Molecular Biology and Evolution. 34(9). 2271–2284. 39 indexed citations
5.
Smith, G. Troy, et al.. (2017). Genes linked to species diversity in a sexually dimorphic communication signal in electric fish. Journal of Comparative Physiology A. 204(1). 93–112. 15 indexed citations
6.
Smith, G. Troy, Aide Macias-Muñoz, & Adriana D. Briscoe. (2016). Gene Duplication and Gene Expression Changes Play a Role in the Evolution of Candidate Pollen Feeding Genes inHeliconiusButterflies. Genome Biology and Evolution. 8(8). 2581–2596. 13 indexed citations
7.
8.
Marsat, Gary, et al.. (2016). Co-adaptation of electric organ discharges and chirps in South American ghost knifefishes (Apteronotidae). Journal of Physiology-Paris. 110(3). 200–215. 8 indexed citations
9.
10.
Macias-Muñoz, Aide, G. Troy Smith, Antónia Monteiro, & Adriana D. Briscoe. (2015). Transcriptome-Wide Differential Gene Expression inBicyclus anynanaButterflies: Female Vision-Related Genes Are More Plastic. Molecular Biology and Evolution. 33(1). 79–92. 29 indexed citations
11.
Smith, G. Troy, et al.. (2012). Divergence in androgen sensitivity contributes to population differences in sexual dimorphism of electrocommunication behavior. Hormones and Behavior. 63(1). 49–53. 11 indexed citations
12.
Smith, G. Troy, Konrad Lohse, William J. Etges, & Michael G. Ritchie. (2012). Model‐based comparisons of phylogeographic scenarios resolve the intraspecific divergence of cactophilic Drosophila mojavensis. Molecular Ecology. 21(13). 3293–3307. 32 indexed citations
13.
Telgkamp, Petra, et al.. (2007). Serotonin in a diencephalic nucleus controlling communication in an electric fish: Sexual dimorphism and relationship to indicators of dominance. Developmental Neurobiology. 67(3). 339–354. 20 indexed citations
14.
15.
Smith, G. Troy, et al.. (2001). NADPH-Diaphorase Activity and Nitric Oxide Synthase-Like Immunoreactivity Colocalize in the Electromotor System of Four Species of Gymnotiform Fish. Brain Behavior and Evolution. 58(3). 122–136. 6 indexed citations
16.
Smith, G. Troy & Harold H. Zakon. (2000). Pharmacological characterization of ionic currents that regulate the pacemaker rhythm in a weakly electric fish. Journal of Neurobiology. 42(2). 270–286. 25 indexed citations
17.
Tramontin, Anthony D., G. Troy Smith, Creagh W. Breuner, & Eliot A. Brenowitz. (1998). Seasonal plasticity and sexual dimorphism in the avian song control system: Stereological measurement of neuron density and number. The Journal of Comparative Neurology. 396(2). 186–192. 104 indexed citations
18.
Smith, G. Troy, Eliot A. Brenowitz, & John C. Wingfield. (1997). Seasonal changes in the size of the avian song control nucleus HVC defined by multiple histological markers. The Journal of Comparative Neurology. 381(3). 253–261. 48 indexed citations
19.
Smith, G. Troy, Eliot A. Brenowitz, & Gail S. Prins. (1996). Use of PG-21 immunocytochemistry to detect androgen receptors in the songbird brain.. Journal of Histochemistry & Cytochemistry. 44(9). 1075–1080. 54 indexed citations
20.
Smith, G. Troy, et al.. (1995). Seasonal changes in song nuclei and song behavior in Gambel's white‐crowned sparrows. Journal of Neurobiology. 28(1). 114–125. 123 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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