Megan E. Storey-Workley
Impact in
- Sensory Systems top 10%
- Hearing, Cochlea, Tinnitus, Genetics
- Reproductive Medicine top 10%
- Hypothalamic control of reproductive hormones
- Endometriosis Research and Treatment
Papers in
-
- Neuroscience and Neuropharmacology Research 3
- Neuropeptides and Animal Physiology 2
-
- Pregnancy-related medical research 5
- Co-authors
- R.E. Papka (6 shared papers)Sharon Usip (4 shared papers)J. Collins (2 shared papers)István Merchenthaler (1 shared paper)Paul J. Shughrue (1 shared paper)Margaret A. Shupnik (1 shared paper)Philippa T. K. Saunders (1 shared paper)Jeffrey G. Mellott (3 shared papers)
- Journals
- Cell and Tissue Research (2 papers)Frontiers in Neuroanatomy (2 papers)Neuroscience (1 paper)Peptides (1 paper)Journal of Neuroscience Research (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Megan E. Storey-Workley
9 papers receiving 357 citations
Peers
Comparison fields: 5 of 54
- Sensory Systems 48
- Reproductive Medicine 80
- Cellular and Molecular Neuroscience 108
- Behavioral Neuroscience 18
- Physiology 23
Countries citing papers authored by Megan E. Storey-Workley
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
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-authors
The 14 scholars most cited alongside Megan E. Storey-Workley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 159 | |
| 2 | 2002 | 64 | |
| 3 | 2003 | 40 | |
| 4 | 2005 | 26 | |
| 5 | 2013 | 21 | |
| 6 | 2002 | 17 | |
| 7 | 2013 | 15 | |
| 8 | 2014 | 12 | |
| 9 | 2007 | 8 |
About Megan E. Storey-Workley
Megan E. Storey-Workley is a scholar working on Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Genetics and Cognitive Neuroscience, having authored 9 papers that have together received 362 indexed citations. Recurring topics across this work include Pregnancy-related medical research (5 papers), Estrogen and related hormone effects (3 papers), Menopause: Health Impacts and Treatments (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neural dynamics and brain function (2 papers), Neuropeptides and Animal Physiology (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers) and Hypothalamic control of reproductive hormones (1 paper). The work is most often cited by research in Sensory Systems (48 citations), Reproductive Medicine (80 citations), Cellular and Molecular Neuroscience (108 citations), Behavioral Neuroscience (18 citations) and Physiology (23 citations). Megan E. Storey-Workley has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include R.E. Papka, Sharon Usip, J. Collins, István Merchenthaler, Paul J. Shughrue, Margaret A. Shupnik, Philippa T. K. Saunders, Jeffrey G. Mellott, Kyle T. Nakamoto and Brett R. Schofield. Their work appears in journals such as Cell and Tissue Research, Frontiers in Neuroanatomy, Neuroscience, Peptides and Journal of Neuroscience Research.
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.