Stephen D. Shea

1.7k total citations
25 papers, 1.1k citations indexed

About

Stephen D. Shea is a scholar working on Cellular and Molecular Neuroscience, Developmental Biology and Cognitive Neuroscience. According to data from OpenAlex, Stephen D. Shea has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Developmental Biology and 8 papers in Cognitive Neuroscience. Recurrent topics in Stephen D. Shea's work include Animal Vocal Communication and Behavior (8 papers), Marine animal studies overview (7 papers) and Animal Behavior and Reproduction (7 papers). Stephen D. Shea is often cited by papers focused on Animal Vocal Communication and Behavior (8 papers), Marine animal studies overview (7 papers) and Animal Behavior and Reproduction (7 papers). Stephen D. Shea collaborates with scholars based in United States, Sweden and Bulgaria. Stephen D. Shea's co-authors include Tina Gruene, Rebecca M. Shansky, Daniel Margoliash, Lawrence C Katz, Dayu Lin, Billy Y. B. Lau, Keerthi Krishnan, Richard Mooney, Z. Josh Huang and Brittany N. Cazakoff and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Neuron.

In The Last Decade

Stephen D. Shea

24 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen D. Shea United States	15	360	303	274	260	235	25	1.1k
Marília Barros Brazil	19	302 0.8×	286 0.9×	421 1.5×	163 0.6×	112 0.5×	63	1.0k
Richard L. Hyson United States	16	553 1.5×	326 1.1×	171 0.6×	332 1.3×	332 1.4×	28	1.4k
Katharina Braun Germany	19	637 1.8×	283 0.9×	233 0.9×	56 0.2×	154 0.7×	33	1.6k
Laura M. Hurley United States	23	383 1.1×	742 2.4×	406 1.5×	54 0.2×	570 2.4×	48	1.5k
M.R. Hinton United Kingdom	13	191 0.5×	180 0.6×	513 1.9×	89 0.3×	181 0.8×	15	1.1k
Aras Petrulis United States	24	345 1.0×	204 0.7×	833 3.0×	279 1.1×	414 1.8×	44	1.3k
Owen R. Floody United States	19	154 0.4×	104 0.3×	620 2.3×	187 0.7×	108 0.5×	50	998
Raphael Pinaud United States	24	421 1.2×	326 1.1×	165 0.6×	60 0.2×	173 0.7×	49	1.7k
Martin E. Hahn United States	18	174 0.5×	215 0.7×	437 1.6×	112 0.4×	55 0.2×	41	1.0k
Takuya Osakada Japan	15	302 0.8×	156 0.5×	457 1.7×	110 0.4×	221 0.9×	18	801

Countries citing papers authored by Stephen D. Shea

Since Specialization

Citations

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

Fields of papers citing papers by Stephen D. Shea

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen D. Shea. 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 Stephen D. Shea. The network helps show where Stephen D. Shea may publish in the future.

Co-authorship network of co-authors of Stephen D. Shea

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

All Works

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20 of 20 papers shown

Shea, Stephen D., et al.. (2025). Dopamine dynamics underlying maternal motivation and reward. Neuroscience Research. 218. 104928–104928.

Shea, Stephen D., et al.. (2024). Multisensory integration of social signals by a pathway from the basal amygdala to the auditory cortex in maternal mice. Current Biology. 35(1). 36–49.e4. 4 indexed citations

Muñoz-Castañeda, Rodrigo, et al.. (2023). A circuit from the locus coeruleus to the anterior cingulate cortex modulates offspring interactions in mice. Cell Reports. 42(7). 112771–112771. 9 indexed citations

Shea, Stephen D., et al.. (2023). Selective Deletion of Methyl CpG Binding Protein 2 from Parvalbumin Interneurons in the Auditory Cortex Delays the Onset of Maternal Retrieval in Mice. Journal of Neuroscience. 43(40). 6745–6759. 4 indexed citations

Shea, Stephen D., et al.. (2022). The Bruce effect: Representational stability and memory formation in the accessory olfactory bulb of the female mouse. Cell Reports. 40(8). 111262–111262. 3 indexed citations

Huang, Longwen, et al.. (2022). A dopaminergic reward prediction error signal shapes maternal behavior in mice. Neuron. 111(4). 557–570.e7. 26 indexed citations

Furlan, Alessandro, et al.. (2022). Neurotensin neurons in the extended amygdala control dietary choice and energy homeostasis. Nature Neuroscience. 25(11). 1470–1480. 14 indexed citations

Lau, Billy Y. B., Keerthi Krishnan, Z. Josh Huang, & Stephen D. Shea. (2020). Maternal Experience-Dependent Cortical Plasticity in Mice Is Circuit- and Stimulus-Specific and Requires MECP2. Journal of Neuroscience. 40(7). 1514–1526. 31 indexed citations

Krishnan, Keerthi, et al.. (2017). MECP2 regulates cortical plasticity underlying a learned behaviour in adult female mice. Nature Communications. 8(1). 14077–14077. 59 indexed citations

10.

Kim, Yongsoo, Zinaida Perova, Martine M. Mirrione, et al.. (2016). Whole-Brain Mapping of Neuronal Activity in the Learned Helplessness Model of Depression. Frontiers in Neural Circuits. 10. 3–3. 58 indexed citations

11.

Cazakoff, Brittany N., et al.. (2014). Broadly tuned and respiration-independent inhibition in the olfactory bulb of awake mice. Nature Neuroscience. 17(4). 569–576. 59 indexed citations

12.

Shea, Stephen D., et al.. (2014). Noradrenergic Plasticity of Olfactory Sensory Neuron Inputs to the Main Olfactory Bulb. Journal of Neuroscience. 34(46). 15234–15243. 27 indexed citations

13.

Shea, Stephen D. & Daniel Margoliash. (2009). Behavioral state-dependent reconfiguration of song-related network activity and cholinergic systems. Journal of Chemical Neuroanatomy. 39(2). 132–140. 11 indexed citations

14.

Shea, Stephen D., Lawrence C Katz, & Richard Mooney. (2008). Noradrenergic Induction of Odor-Specific Neural Habituation and Olfactory Memories. Journal of Neuroscience. 28(42). 10711–10719. 63 indexed citations

15.

Lin, Dayu, Stephen D. Shea, & Lawrence C Katz. (2006). Representation of Natural Stimuli in the Rodent Main Olfactory Bulb. Neuron. 50(6). 937–949. 109 indexed citations

16.

Shea, Stephen D. & Daniel Margoliash. (2003). Basal Forebrain Cholinergic Modulation of Auditory Activity in the Zebra Finch Song System. Neuron. 40(6). 1213–1226. 44 indexed citations

17.

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

18.

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

19.

Shea, Stephen D., Kristin J. Heaton, James T. Heaton, William S. Hall, & Steven E. Brauth. (1997). The Role of Contact Calls in the Social Behavior of the Budgerigar (Melopsittacus undulatus). Annals of the New York Academy of Sciences. 807(1). 571–573. 2 indexed citations

20.

Hall, William S., et al.. (1997). Audio‐Vocal Learning in Budgerigars^a. Annals of the New York Academy of Sciences. 807(1). 352–367. 11 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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