Emily S. Webber

1.1k total citations
10 papers, 732 citations indexed

About

Emily S. Webber is a scholar working on Social Psychology, Behavioral Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Emily S. Webber has authored 10 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Social Psychology, 5 papers in Behavioral Neuroscience and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in Emily S. Webber's work include Stress Responses and Cortisol (5 papers), Neuroendocrine regulation and behavior (5 papers) and Neural and Behavioral Psychology Studies (3 papers). Emily S. Webber is often cited by papers focused on Stress Responses and Cortisol (5 papers), Neuroendocrine regulation and behavior (5 papers) and Neural and Behavioral Psychology Studies (3 papers). Emily S. Webber collaborates with scholars based in United States and Germany. Emily S. Webber's co-authors include Michael J. Krashes, Chia Li, Howard C. Cromwell, Eva Tsaousidou, Jens C. Brüning, C. Joseph Burnett, Oksana Gavrilova, Bakhos A. Tannous, Jennifer S. Steger and John N. Campbell and has published in prestigious journals such as Neuron, Nature Neuroscience and Behavioural Brain Research.

In The Last Decade

Emily S. Webber

10 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emily S. Webber United States	9	394	190	174	174	169	10	732
Laurel M. Pritchard United States	14	347 0.9×	259 1.4×	85 0.5×	136 0.8×	284 1.7×	18	726
Rachel Essner United States	8	409 1.0×	216 1.1×	237 1.4×	191 1.1×	183 1.1×	8	736
Peilin Chen United States	14	674 1.7×	293 1.5×	145 0.8×	363 2.1×	154 0.9×	17	1.1k
Soledad Cabeza de Vaca United States	20	444 1.1×	251 1.3×	282 1.6×	192 1.1×	544 3.2×	35	1.1k
Rohan N. Ramesh United States	10	305 0.8×	181 1.0×	376 2.2×	114 0.7×	270 1.6×	10	723
M. Flavia Barbano United States	13	222 0.6×	101 0.5×	262 1.5×	97 0.6×	455 2.7×	18	780
Kara N. Presbrey United States	5	312 0.8×	113 0.6×	473 2.7×	76 0.4×	368 2.2×	7	798
Alexander W. Johnson United States	19	299 0.8×	215 1.1×	428 2.5×	117 0.7×	463 2.7×	47	1.1k
Luciane V. Sita Brazil	17	408 1.0×	101 0.5×	205 1.2×	117 0.7×	130 0.8×	24	745

Countries citing papers authored by Emily S. Webber

Since Specialization

Citations

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

Fields of papers citing papers by Emily S. Webber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily S. Webber. 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 Emily S. Webber. The network helps show where Emily S. Webber may publish in the future.

Co-authorship network of co-authors of Emily S. Webber

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Webber, Emily S., et al.. (2018). A possible social relative reward effect: Influences of outcome inequity between rats during operant responding. Behavioural Processes. 157. 459–469. 6 indexed citations

Webber, Emily S., et al.. (2016). Striatal Activity and Reward Relativity: Neural Signals Encoding Dynamic Outcome Valuation. eNeuro. 3(5). ENEURO.0022–16.2016. 19 indexed citations

Burnett, C. Joseph, Chia Li, Emily S. Webber, et al.. (2016). Hunger-Driven Motivational State Competition. Neuron. 92(1). 187–201. 207 indexed citations

Garfield, Alastair S., Chia Li, Joseph C. Madara, et al.. (2015). A neural basis for melanocortin-4 receptor–regulated appetite. Nature Neuroscience. 18(6). 863–871. 325 indexed citations

Webber, Emily S., et al.. (2015). Relative reward effects on operant behavior: Incentive contrast, induction and variety effects. Behavioural Processes. 116. 87–99. 21 indexed citations

Webber, Emily S., Antonello Bonci, & Michael J. Krashes. (2015). The elegance of energy balance: Insight from circuit‐level manipulations. Synapse. 69(9). 461–474. 14 indexed citations

Webber, Emily S., et al.. (2014). Emotion and relative reward processing: An investigation on instrumental successive negative contrast and ultrasonic vocalizations in the rat. Behavioural Processes. 107. 167–174. 18 indexed citations

Webber, Emily S., et al.. (2013). Ultrasonic vocalizations, predictability and sensorimotor gating in the rat. Behavioural Brain Research. 253. 32–41. 12 indexed citations

Webber, Emily S., et al.. (2012). Selective breeding for 50 kHz ultrasonic vocalization emission produces alterations in the ontogeny and regulation of rough-and-tumble play. Behavioural Brain Research. 229(1). 138–144. 34 indexed citations

10.

McAuley, J. Devin, et al.. (2009). Wistar–Kyoto rats as an animal model of anxiety vulnerability: Support for a hypervigilance hypothesis. Behavioural Brain Research. 204(1). 162–168. 76 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.

Explore authors with similar magnitude of impact