Steven E. Brauth

3.4k total citations
91 papers, 2.8k citations indexed

About

Steven E. Brauth is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Steven E. Brauth has authored 91 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Developmental Biology, 51 papers in Ecology, Evolution, Behavior and Systematics and 25 papers in Ecology. Recurrent topics in Steven E. Brauth's work include Animal Vocal Communication and Behavior (55 papers), Animal Behavior and Reproduction (46 papers) and Marine animal studies overview (24 papers). Steven E. Brauth is often cited by papers focused on Animal Vocal Communication and Behavior (55 papers), Animal Behavior and Reproduction (46 papers) and Marine animal studies overview (24 papers). Steven E. Brauth collaborates with scholars based in United States, China and Canada. Steven E. Brauth's co-authors include Cheryl A. Kitt, Harvey J. Karten, Anton Reiner, James T. Heaton, C. A. Kitt, Yezhong Tang, William S. Hall, John L. Ferguson, Barbara J. Winterson and Jianguo Cui and has published in prestigious journals such as PLoS ONE, Trends in Neurosciences and The Journal of Comparative Neurology.

In The Last Decade

Steven E. Brauth

91 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven E. Brauth United States 30 1.2k 1.2k 891 568 565 91 2.8k
Toshiya Matsushima Japan 25 600 0.5× 621 0.5× 649 0.7× 299 0.5× 256 0.5× 128 2.5k
Hans‐Joachim Bischof Germany 32 1.0k 0.8× 1.2k 1.1× 414 0.5× 193 0.3× 627 1.1× 107 2.4k
Douglas R. Wylie Canada 41 393 0.3× 1.0k 0.9× 1.2k 1.3× 946 1.7× 461 0.8× 146 4.4k
Georg F. Striedter United States 30 733 0.6× 794 0.7× 391 0.4× 623 1.1× 586 1.0× 62 2.6k
H. Philip Zeigler United States 36 815 0.7× 826 0.7× 978 1.1× 245 0.4× 384 0.7× 111 4.0k
Darcy B. Kelley United States 38 2.0k 1.7× 2.4k 2.0× 928 1.0× 609 1.1× 1.0k 1.9× 113 4.8k
Timothy J. DeVoogd United States 30 1.8k 1.5× 2.0k 1.7× 498 0.6× 160 0.3× 1.3k 2.2× 65 3.3k
Ann B. Butler United States 32 324 0.3× 483 0.4× 832 0.9× 868 1.5× 318 0.6× 69 2.9k
Andrew N. Iwaniuk Canada 41 761 0.6× 2.1k 1.8× 341 0.4× 313 0.6× 1.5k 2.6× 139 4.7k
Verner P. Bingman United States 40 829 0.7× 1.4k 1.2× 864 1.0× 167 0.3× 1.1k 2.0× 188 4.6k

Countries citing papers authored by Steven E. Brauth

Since Specialization
Citations

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

Fields of papers citing papers by Steven E. Brauth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven E. Brauth. 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 Steven E. Brauth. The network helps show where Steven E. Brauth may publish in the future.

Co-authorship network of co-authors of Steven E. Brauth

This figure shows the co-authorship network connecting the top 25 collaborators of Steven E. Brauth. A scholar is included among the top collaborators of Steven E. Brauth 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 Steven E. Brauth. Steven E. Brauth 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.
Yang, Ping, Fei Xue, Jianguo Cui, et al.. (2018). Auditory sensitivity exhibits sexual dimorphism and seasonal plasticity in music frogs. Journal of Comparative Physiology A. 204(12). 1029–1044. 9 indexed citations
2.
Wang, Jichao, et al.. (2017). Competitive pressures affect sexual signal complexity in Kurixalus odontotarsus: insights into the evolution of compound calls. Biology Open. 6(12). 1913–1918. 9 indexed citations
3.
Brauth, Steven E., et al.. (2017). Sometimes noise is beneficial: stream noise informs vocal communication in the little torrent frog Amolops torrentis. Journal of Ethology. 35(3). 259–267. 16 indexed citations
4.
Xue, Fei, et al.. (2016). A lateralized functional auditory network is involved in anuran sexual selection. Journal of Biosciences. 41(4). 713–726. 2 indexed citations
5.
Xue, Fei, et al.. (2016). Resting-state brain networks revealed by granger causal connectivity in frogs. Neuroscience. 334. 332–340. 3 indexed citations
6.
Chakraborty, Mukta, Signe Nedergaard, Emma E. Fridel, et al.. (2015). Core and Shell Song Systems Unique to the Parrot Brain. PLoS ONE. 10(6). e0118496–e0118496. 46 indexed citations
7.
Yang, Ping, Guangzhan Fang, Fei Xue, et al.. (2013). Electroencephalographic signals synchronize with behaviors and are sexually dimorphic during the light–dark cycle in reproductive frogs. Journal of Comparative Physiology A. 200(2). 117–127. 10 indexed citations
8.
Fang, Guangzhan, Ping Yang, Jianguo Cui, et al.. (2012). Mating Signals Indicating Sexual Receptiveness Induce Unique Spatio-Temporal EEG Theta Patterns in an Anuran Species. PLoS ONE. 7(12). e52364–e52364. 15 indexed citations
9.
Brauth, Steven E., et al.. (2003). Contact call-driven zenk mRNA expression in the brain of the budgerigar (Melopsittacus undulatus). Molecular Brain Research. 117(1). 97–103. 4 indexed citations
10.
11.
Durand, Sarah E., et al.. (2001). Calcitonin Gene-Related Peptide Immunoreactive Cells and Fibers in Forebrain Vocal and Auditory Nuclei of the Budgerigar <i>(Melopsittacus undulatus)</i>. Brain Behavior and Evolution. 58(2). 61–79. 10 indexed citations
12.
Hall, William S., James T. Heaton, Todd F. Roberts, et al.. (1999). Cytoarchitecture of Vocal Control Nuclei in Nestling Budgerigars: Relationships to Call Development. Brain Behavior and Evolution. 53(4). 198–226. 9 indexed citations
13.
Brauth, Steven E., James T. Heaton, Stephen D. Shea, Sarah E. Durand, & William S. Hall. (1997). Functional Anatomy of Forebrain Vocal Control Pathways in the Budgerigar (Melopsittacus undulatus)a. Annals of the New York Academy of Sciences. 807(1). 368–385. 29 indexed citations
14.
Penner, M. J., Steven E. Brauth, & Pawel J. Jastreboff. (1994). Covariation of binaural, concurrently-measured spontaneous otoacoustic emissions. Hearing Research. 73(2). 190–194. 8 indexed citations
15.
Brauth, Steven E., et al.. (1994). Functional Anatomy of Forebrain Auditory Pathways in the Budgerigar <i>(Melopsittacus undulatus)</i> (Part 1 of 2). Brain Behavior and Evolution. 44(4-5). 210–221. 48 indexed citations
16.
Brauth, Steven E.. (1990). Histochemical Strategies in the Study of Neural Evolution. Brain Behavior and Evolution. 36(2-3). 100–115. 7 indexed citations
17.
Brauth, Steven E.. (1990). Investigation of central auditory nuclei in the budgerigar with cytochrome oxidase histochemistry. Brain Research. 508(1). 142–146. 25 indexed citations
18.
Brauth, Steven E., et al.. (1989). Distribution of mu, delta, and kappa opiate receptor types in the forebrain and midbrain of pigeons. The Journal of Comparative Neurology. 280(3). 359–382. 96 indexed citations
19.
Brauth, Steven E.. (1988). Catecholamine neurons in the brainstem of the reptile Caiman crocodilus. The Journal of Comparative Neurology. 270(3). 313–326. 23 indexed citations
20.
Brauth, Steven E., et al.. (1987). Auditory Pathways in the Budgerigar. Brain Behavior and Evolution. 30(3-4). 174–199. 57 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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