Sarah E. Chapman
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
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- Mitochondrial Function and Pathology 3
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- Adipose Tissue and Metabolism 5
- Co-authors
- W. Matthew Leevy (20 shared papers)Zachary T. Schafer (4 shared papers)Justin Diener (6 shared papers)Giles E. Duffield (4 shared papers)Jinping Shao (3 shared papers)Daan R. van der Veen (3 shared papers)Connor Wathen (4 shared papers)Seth T. Gammon (5 shared papers)
- Journals
- Journal of Visualized Experiments (5 papers)Cancer Research (2 papers)Nucleic Acids Research (2 papers)PLoS ONE (2 papers)Medical Physics (1 paper)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Sarah E. Chapman
27 papers receiving 654 citations
Peers
Comparison fields: 5 of 111
- Endocrine and Autonomic Systems 51
- Aging 11
- Cancer Research 74
- Physiology 115
- Genetics 42
Countries citing papers authored by Sarah E. Chapman
This map shows the geographic impact of Sarah E. Chapman'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 Sarah E. Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah E. Chapman more than expected).
Fields of papers citing papers by Sarah E. Chapman
This network shows the impact of papers produced by Sarah E. Chapman. 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 Sarah E. Chapman. The network helps show where Sarah E. Chapman may publish in the future.
Co-authors
The 25 scholars most cited alongside Sarah E. Chapman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 97 | |
| 2 | 2013 | 79 | |
| 3 | 2018 | 74 | |
| 4 | 2012 | 58 | |
| 5 | 2011 | 57 | |
| 6 | 2020 | 39 | |
| 7 | 2014 | 38 | |
| 8 | 2013 | 29 | |
| 9 | 2013 | 25 | |
| 10 | 2011 | 23 | |
| 11 | 2014 | 22 | |
| 12 | 2012 | 20 | |
| 13 | 2013 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2014 | 13 | |
| 16 | 2013 | 12 | |
| 17 | 2013 | 11 | |
| 18 | 2012 | 10 | |
| 19 | 2012 | 9 | |
| 20 | 2023 | 4 |
About Sarah E. Chapman
Sarah E. Chapman is a scholar working on Molecular Biology, Physiology, Epidemiology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 661 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Medical Imaging Techniques and Applications (4 papers), Advanced X-ray and CT Imaging (3 papers), Mitochondrial Function and Pathology (3 papers), Cardiovascular Disease and Adiposity (3 papers), Anatomy and Medical Technology (2 papers), Cancer Research and Treatments (2 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (51 citations), Aging (11 citations), Cancer Research (74 citations), Physiology (115 citations) and Genetics (42 citations). Sarah E. Chapman has collaborated with scholars based in United States, France and Australia. Frequent co-authors include W. Matthew Leevy, Zachary T. Schafer, Justin Diener, Giles E. Duffield, Jinping Shao, Daan R. van der Veen, Connor Wathen, Seth T. Gammon, Sienna Durbin and Victoria R. Zellmer. Their work appears in journals such as Journal of Visualized Experiments, Cancer Research, Nucleic Acids Research, PLoS ONE and Medical Physics.
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.