Jennifer Coats
Impact in
- Sensory Systems top 2%
- Olfactory and Sensory Function Studies
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
Papers in
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- Neuroendocrine regulation and behavior 4
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- Bone Metabolism and Diseases 2
- Co-authors
- Nirao M. Shah (5 shared papers)Mark Mayford (2 shared papers)Masahiro Yasuda (1 shared paper)Ying Jones (1 shared paper)Maryann E. Martone (1 shared paper)Jessica Tollkühn (1 shared paper)Devanand S. Manoli (1 shared paper)Nobuhiro Harada (1 shared paper)
- Journals
- Bone (4 papers)Cell (3 papers)Nature Neuroscience (1 paper)Learning & Memory (1 paper)Hormones and Behavior (1 paper)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Jennifer Coats
14 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Sensory Systems 192
- Cellular and Molecular Neuroscience 502
- Behavioral Neuroscience 83
- Endocrine and Autonomic Systems 120
- Reproductive Medicine 121
Countries citing papers authored by Jennifer Coats
This map shows the geographic impact of Jennifer Coats'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 Jennifer Coats with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Coats more than expected).
Fields of papers citing papers by Jennifer Coats
This network shows the impact of papers produced by Jennifer Coats. 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 Jennifer Coats. The network helps show where Jennifer Coats may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer Coats, 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 | 2002 | 411 | |
| 2 | 2009 | 309 | |
| 3 | 2012 | 205 | |
| 4 | 2005 | 203 | |
| 5 | 2008 | 29 | |
| 6 | 2006 | 29 | |
| 7 | Calcium, parathyroid hormone and phospholipid turnover of human red blood cells. | 1985 | 9 |
| 8 | 2023 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2012 | 3 | |
| 11 | 2010 | 2 | |
| 12 | 2010 | 2 | |
| 13 | 2011 | 1 | |
| 14 | 2011 | 1 |
About Jennifer Coats
Jennifer Coats is a scholar working on Social Psychology, Molecular Biology, Cellular and Molecular Neuroscience, Orthopedics and Sports Medicine and Endocrine and Autonomic Systems, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (4 papers), Bone health and osteoporosis research (3 papers), Bone health and treatments (2 papers), Bone Metabolism and Diseases (2 papers), Hypothalamic control of reproductive hormones (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Circadian rhythm and melatonin (2 papers) and Erythrocyte Function and Pathophysiology (1 paper). The work is most often cited by research in Sensory Systems (192 citations), Cellular and Molecular Neuroscience (502 citations), Behavioral Neuroscience (83 citations), Endocrine and Autonomic Systems (120 citations) and Reproductive Medicine (121 citations). Jennifer Coats has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Nirao M. Shah, Mark Mayford, Masahiro Yasuda, Ying Jones, Maryann E. Martone, Jessica Tollkühn, Devanand S. Manoli, Nobuhiro Harada, Melody V. Wu and Eleanor J. Fraser. Their work appears in journals such as Bone, Cell, Nature Neuroscience, Learning & Memory and Hormones and Behavior.
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.