Megan E. Storey-Workley

425 total citations
9 papers, 360 citations indexed

About

Megan E. Storey-Workley is a scholar working on Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Megan E. Storey-Workley has authored 9 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Public Health, Environmental and Occupational Health and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Megan E. Storey-Workley's work include Pregnancy-related medical research (5 papers), Estrogen and related hormone effects (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Megan E. Storey-Workley is often cited by papers focused on Pregnancy-related medical research (5 papers), Estrogen and related hormone effects (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Megan E. Storey-Workley collaborates with scholars based in United States and United Kingdom. Megan E. Storey-Workley's co-authors include R.E. Papka, Sharon Usip, J. Collins, Philippa T. K. Saunders, Paul J. Shughrue, Margaret A. Shupnik, István Merchenthaler, Kyle T. Nakamoto, Jeffrey G. Mellott and Brett R. Schofield and has published in prestigious journals such as Neuroscience, Cell and Tissue Research and Neuroscience Letters.

In The Last Decade

Megan E. Storey-Workley

9 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Megan E. Storey-Workley United States 9 114 106 83 82 68 9 360
M. Criscuolo Italy 10 56 0.5× 138 1.3× 32 0.4× 29 0.4× 39 0.6× 20 380
M.M. Miller Canada 13 112 1.0× 44 0.4× 97 1.2× 149 1.8× 31 0.5× 27 440
Jennifer Mecklenburg United States 9 89 0.8× 136 1.3× 48 0.6× 14 0.2× 42 0.6× 14 347
Marina A. Silveira Brazil 12 69 0.6× 54 0.5× 164 2.0× 24 0.3× 37 0.5× 19 398
Guadalberto Hernández Spain 14 116 1.0× 47 0.4× 115 1.4× 104 1.3× 13 0.2× 30 455
Masako Fujita Japan 10 59 0.5× 104 1.0× 16 0.2× 49 0.6× 54 0.8× 23 322
Phyllis Callahan United States 14 229 2.0× 78 0.7× 163 2.0× 28 0.3× 27 0.4× 33 484
Clair B. Eckersell United States 9 255 2.2× 91 0.9× 196 2.4× 110 1.3× 13 0.2× 10 478
Danièle Mazur France 8 83 0.7× 129 1.2× 164 2.0× 29 0.4× 18 0.3× 8 589
Wendy L. Wilson United States 12 83 0.7× 74 0.7× 38 0.5× 23 0.3× 42 0.6× 24 476

Countries citing papers authored by Megan E. Storey-Workley

Since Specialization
Citations

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

Fields of papers citing papers by Megan E. Storey-Workley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan E. Storey-Workley. 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 E. Storey-Workley. The network helps show where Megan E. Storey-Workley may publish in the future.

Co-authorship network of co-authors of Megan E. Storey-Workley

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

All Works

9 of 9 papers shown
1.
Nakamoto, Kyle T., et al.. (2014). Ultrastructural characterization of GABAergic and excitatory synapses in the inferior colliculus. Frontiers in Neuroanatomy. 8. 108–108. 11 indexed citations
2.
5.
Papka, R.E., et al.. (2005). P2X receptors in the rat uterine cervix, lumbosacral dorsal root ganglia, and spinal cord during pregnancy. Cell and Tissue Research. 321(1). 35–44. 26 indexed citations
6.
Mowa, Chishimba Nathan, Sharon Usip, J. Collins, et al.. (2003). The effects of pregnancy and estrogen on the expression of calcitonin gene-related peptide (CGRP) in the uterine cervix, dorsal root ganglia and spinal cord. Peptides. 24(8). 1163–1174. 40 indexed citations
7.
Papka, R.E., et al.. (2002). Estrogen receptor‐α and neural circuits to the spinal cord during pregnancy. Journal of Neuroscience Research. 70(6). 808–816. 17 indexed citations
8.
Papka, R.E. & Megan E. Storey-Workley. (2002). Estrogen receptor-α and -β coexist in a subpopulation of sensory neurons of female rat dorsal root ganglia. Neuroscience Letters. 319(2). 71–74. 64 indexed citations
9.
Papka, R.E., Megan E. Storey-Workley, Paul J. Shughrue, et al.. (2001). Estrogen receptor-α and -β immunoreactivity and mRNA in neurons of sensory and autonomic ganglia and spinal cord. Cell and Tissue Research. 304(2). 193–214. 159 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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