Shona Morrison
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
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- Regulation of Appetite and Obesity
Papers in
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- Metabolism, Diabetes, and Cancer 4
- Peroxisome Proliferator-Activated Receptors 3
- Histone Deacetylase Inhibitors Research 2
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- Adipose Tissue and Metabolism 6
- Co-authors
- Sean L. McGee (9 shared papers)Nicky Konstantopoulos (6 shared papers)Ken Walder (8 shared papers)Mohamed S. Zaïbi (4 shared papers)Joanne E. Curran (4 shared papers)John Blangero (4 shared papers)Thomas D. Dyer (4 shared papers)Kiymet Bozaoglu (4 shared papers)
- Journals
- Endocrinology (2 papers)Australian and New Zealand Journal of Obstetrics and Gynaecology (2 papers)PLoS ONE (2 papers)Diabetes Obesity and Metabolism (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- AustraliaCanadaUnited States
In The Last Decade
Shona Morrison
15 papers receiving 540 citations
Peers
Comparison fields: 5 of 91
- Physiology 202
- Endocrine and Autonomic Systems 38
- Epidemiology 180
- Pharmacology 84
- Geriatrics and Gerontology 17
Countries citing papers authored by Shona Morrison
This map shows the geographic impact of Shona Morrison'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 Shona Morrison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shona Morrison more than expected).
Fields of papers citing papers by Shona Morrison
This network shows the impact of papers produced by Shona Morrison. 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 Shona Morrison. The network helps show where Shona Morrison may publish in the future.
Co-authors
The 25 scholars most cited alongside Shona Morrison, 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 | 2010 | 187 | |
| 2 | 2015 | 110 | |
| 3 | 2014 | 48 | |
| 4 | 2014 | 42 | |
| 5 | 2014 | 40 | |
| 6 | 2015 | 34 | |
| 7 | 2012 | 23 | |
| 8 | 2017 | 17 | |
| 9 | 2011 | 16 | |
| 10 | 2013 | 12 | |
| 11 | 2010 | 8 | |
| 12 | 2020 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2010 | 2 | |
| 15 | 2010 | 1 | |
| 16 | 2024 | 0 |
About Shona Morrison
Shona Morrison is a scholar working on Molecular Biology, Physiology, Epidemiology, Surgery and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 549 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Pancreatic function and diabetes (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Gestational Trophoblastic Disease Studies (2 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Physiology (202 citations), Endocrine and Autonomic Systems (38 citations), Epidemiology (180 citations), Pharmacology (84 citations) and Geriatrics and Gerontology (17 citations). Shona Morrison has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Sean L. McGee, Nicky Konstantopoulos, Ken Walder, Mohamed S. Zaïbi, Joanne E. Curran, John Blangero, Thomas D. Dyer, Kiymet Bozaoglu, David Segal and Shelley A. Cole. Their work appears in journals such as Endocrinology, Australian and New Zealand Journal of Obstetrics and Gynaecology, PLoS ONE, Diabetes Obesity and Metabolism and The Journal of Clinical Endocrinology & Metabolism.
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.