Mary T. Hoversten
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
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- Receptor Mechanisms and Signaling 11
- Pharmacological Receptor Mechanisms and Effects 5
- Chemical Synthesis and Analysis 2
-
- Neuropeptides and Animal Physiology 12
- Co-authors
- Huda Akil (14 shared papers)Stanley J. Watson (11 shared papers)Larry P. Taylor (9 shared papers)Alfred Mansour (4 shared papers)Fan Meng (7 shared papers)Robert C. Thompson (5 shared papers)Yasuko Ueda (3 shared papers)Henry I. Mosberg (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Biological Psychiatry (1 paper)Regulatory Peptides (1 paper)Journal of Neuroscience (1 paper)Brain Research (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Mary T. Hoversten
16 papers receiving 810 citations
Peers
Comparison fields: 5 of 67
- Cellular and Molecular Neuroscience 682
- Behavioral Neuroscience 102
- Biological Psychiatry 25
- Molecular Biology 617
- Endocrine and Autonomic Systems 42
Countries citing papers authored by Mary T. Hoversten
This map shows the geographic impact of Mary T. Hoversten'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 Mary T. Hoversten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary T. Hoversten more than expected).
Fields of papers citing papers by Mary T. Hoversten
This network shows the impact of papers produced by Mary T. Hoversten. 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 Mary T. Hoversten. The network helps show where Mary T. Hoversten may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary T. Hoversten, 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 | 1995 | 217 | |
| 2 | 1997 | 107 | |
| 3 | 1995 | 90 | |
| 4 | 1996 | 77 | |
| 5 | 2007 | 59 | |
| 6 | 1994 | 56 | |
| 7 | 1996 | 54 | |
| 8 | 2003 | 49 | |
| 9 | 1998 | 35 | |
| 10 | 2011 | 35 | |
| 11 | 2001 | 26 | |
| 12 | 2000 | 14 | |
| 13 | 2003 | 9 | |
| 14 | 1995 | 3 | |
| 15 | 1994 | 2 | |
| 16 | 1995 | 1 |
About Mary T. Hoversten
Mary T. Hoversten is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Physiology, having authored 16 papers that have together received 834 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (11 papers), Pharmacological Receptor Mechanisms and Effects (5 papers), Stress Responses and Cortisol (4 papers), Pain Mechanisms and Treatments (3 papers), Hormonal Regulation and Hypertension (3 papers), Chemical Synthesis and Analysis (2 papers) and Birth, Development, and Health (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (682 citations), Behavioral Neuroscience (102 citations), Biological Psychiatry (25 citations), Molecular Biology (617 citations) and Endocrine and Autonomic Systems (42 citations). Mary T. Hoversten has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Huda Akil, Stanley J. Watson, Larry P. Taylor, Alfred Mansour, Fan Meng, Robert C. Thompson, Yasuko Ueda, Henry I. Mosberg, Jeffrey L. Fine and Stanley J. Watson. Their work appears in journals such as Journal of Biological Chemistry, Biological Psychiatry, Regulatory Peptides, Journal of Neuroscience and Brain 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.