Sarah Will
Impact in
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- Diabetes Treatment and Management
- Diet, Metabolism, and Disease
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
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- Diabetes Treatment and Management 8
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- Metabolism, Diabetes, and Cancer 4
- Receptor Mechanisms and Signaling 2
- Co-authors
- Mylène Perreault (5 shared papers)James L. Trevaskis (8 shared papers)Stephanie Oldham (7 shared papers)James F. Tobin (3 shared papers)Steven J. Kirincich (2 shared papers)Christopher J. Rhodes (6 shared papers)Vipin Suri (1 shared paper)Suyue Wang (1 shared paper)
- Journals
- Molecular Metabolism (4 papers)Diabetes (3 papers)Endocrinology (2 papers)Diabetes Obesity and Metabolism (2 papers)Pharmaceutics (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Sarah Will
27 papers receiving 651 citations
Peers
Comparison fields: 5 of 76
- Endocrinology, Diabetes and Metabolism 181
- Endocrine and Autonomic Systems 62
- Physiology 141
- Epidemiology 119
- Cellular and Molecular Neuroscience 66
Countries citing papers authored by Sarah Will
This map shows the geographic impact of Sarah Will'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 Will with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Will more than expected).
Fields of papers citing papers by Sarah Will
This network shows the impact of papers produced by Sarah Will. 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 Will. The network helps show where Sarah Will may publish in the future.
Co-authors
The 25 scholars most cited alongside Sarah Will, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 124 | |
| 2 | 2021 | 61 | |
| 3 | 2009 | 58 | |
| 4 | 1991 | 55 | |
| 5 | 2017 | 51 | |
| 6 | 2018 | 47 | |
| 7 | 1988 | 40 | |
| 8 | 2018 | 33 | |
| 9 | 2019 | 30 | |
| 10 | 2024 | 23 | |
| 11 | 2013 | 23 | |
| 12 | 1990 | 17 | |
| 13 | 2009 | 17 | |
| 14 | 2012 | 16 | |
| 15 | 2024 | 14 | |
| 16 | 2020 | 12 | |
| 17 | 2017 | 11 | |
| 18 | 2009 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 2023 | 7 |
About Sarah Will
Sarah Will is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Physiology and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 669 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (8 papers), Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (4 papers), Neuropeptides and Animal Physiology (4 papers), Pharmacology and Obesity Treatment (2 papers), Receptor Mechanisms and Signaling (2 papers), Bariatric Surgery and Outcomes (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (181 citations), Endocrine and Autonomic Systems (62 citations), Physiology (141 citations), Epidemiology (119 citations) and Cellular and Molecular Neuroscience (66 citations). Sarah Will has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mylène Perreault, James L. Trevaskis, Stephanie Oldham, James F. Tobin, Steven J. Kirincich, Christopher J. Rhodes, Vipin Suri, Suyue Wang, Yanling Zhang and David V. Erbe. Their work appears in journals such as Molecular Metabolism, Diabetes, Endocrinology, Diabetes Obesity and Metabolism and Pharmaceutics.
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.