Sally E. Hays
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Surgery
- Endocrine and Autonomic Systems top 10%
- Psychiatry and Mental health
- Co-authors
- Steven M. PaulRobert T. RubínFrederick K. GoodwinJacqueline N. CrawleyMargery C. BeinfeldRobert T. JensenThomas L. O’DonohueDieter Meyer
- Topics
- Receptor Mechanisms and Signaling (10 papers)Neuropeptides and Animal Physiology (10 papers)Hypothalamic control of reproductive hormones (4 papers)
- Journals
- Brain ResearchAnnals of the New York Academy of SciencesMethods in enzymology on CD-ROM/Methods in enzymology
- Partner nations
- United StatesCzechiaSweden
In The Last Decade
Sally E. Hays
17 papers receiving 589 citations
Peers
Comparison fields: 5 of 61
- Cellular and Molecular Neuroscience 467
- Molecular Biology 343
- Surgery 89
- Endocrine and Autonomic Systems 73
- Psychiatry and Mental health 73
Countries citing papers authored by Sally E. Hays
This map shows the geographic impact of Sally E. Hays'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 Sally E. Hays with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sally E. Hays more than expected).
Fields of papers citing papers by Sally E. Hays
This network shows the impact of papers produced by Sally E. Hays. 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 Sally E. Hays. The network helps show where Sally E. Hays may publish in the future.
Co-authorship network of co-authors of Sally E. Hays
This figure shows the co-authorship network connecting the top 25 collaborators of Sally E. Hays. A scholar is included among the top collaborators of Sally E. Hays 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 Sally E. Hays. Sally E. Hays is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 15 | |
| 3 | 8 | |
| 4 | 25 | |
| 5 | 16 | |
| 6 | 28 | |
| 7 | 7 | |
| 8 | 53 | |
| 9 | 34 | |
| 10 | 40 | |
| 11 | 99 | |
| 12 | 37 | |
| 13 | 17 | |
| 14 | 36 | |
| 15 | 161 | |
| 16 | 32 | |
| 17 | 6 |
About Sally E. Hays
Sally E. Hays is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine and Behavioral Neuroscience, having authored 17 papers that have together received 624 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (10 papers) and Hypothalamic control of reproductive hormones (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (467 citations), Behavioral Neuroscience (43 citations) and Endocrine and Autonomic Systems (73 citations). Sally E. Hays has collaborated with scholars based in United States, Czechia and Sweden. Frequent co-authors include Steven M. Paul, Robert T. Rubín, Frederick K. Goodwin, Steven M. Paul, Jacqueline N. Crawley, Margery C. Beinfeld, Robert T. Jensen, Steven M. Paul, Steven M. Paul and Thomas L. O’Donohue. Their work appears in journals such as Brain Research, Annals of the New York Academy of Sciences and Methods in enzymology on CD-ROM/Methods in enzymology.
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.