Megan J. Schmid

9 total papers · 615 total citations
8 papers, 528 citations indexed

About

Megan J. Schmid is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Megan J. Schmid has authored 8 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Behavioral Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Megan J. Schmid's work include Stress Responses and Cortisol (5 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Megan J. Schmid is often cited by papers focused on Stress Responses and Cortisol (5 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Megan J. Schmid collaborates with scholars based in United States. Megan J. Schmid's co-authors include Linda R. Watkins, Steven F. Maier, Andre Der‐Avakian, Sayamwong E. Hammack, Matthew L. LoPresti, Sondra T. Bland, Robert L. Spencer, Alan C. Foster, Benjamin N. Greenwood and Terrence Deak and has published in prestigious journals such as Journal of Neuroscience, Brain Research and Neuroscience.

In The Last Decade

Megan J. Schmid

8 papers receiving 520 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Megan J. Schmid 370 233 226 113 89 8 528
Charilaos Avrabos 294 0.8× 148 0.6× 173 0.8× 123 1.1× 65 0.7× 8 506
Lishay G. Alaluf 373 1.0× 151 0.6× 252 1.1× 115 1.0× 68 0.8× 11 574
S. Aguerre 265 0.7× 195 0.8× 262 1.2× 99 0.9× 75 0.8× 10 574
Elizabeth I. Flandreau 316 0.9× 191 0.8× 136 0.6× 128 1.1× 129 1.4× 13 500
David Rotllant 281 0.8× 217 0.9× 178 0.8× 90 0.8× 90 1.0× 20 604
Mollee R. Farrell 311 0.8× 211 0.9× 198 0.9× 107 0.9× 169 1.9× 7 546
Els H. Velzing 333 0.9× 221 0.9× 172 0.8× 72 0.6× 77 0.9× 14 571
Sara Santarelli 297 0.8× 217 0.9× 96 0.4× 145 1.3× 62 0.7× 14 562
Anneloes Dirks 341 0.9× 296 1.3× 197 0.9× 127 1.1× 73 0.8× 13 589
Marta de Blas 198 0.5× 131 0.6× 155 0.7× 63 0.6× 88 1.0× 8 485

Countries citing papers authored by Megan J. Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Megan J. Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan J. Schmid. 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 Megan J. Schmid. The network helps show where Megan J. Schmid may publish in the future.

Co-authorship network of co-authors of Megan J. Schmid

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

All Works

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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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