Sarah Will

24 papers receiving 907 citations

Peers

Sarah Will
Comparison fields: 5 of 66
  • Endocrine and Autonomic Systems 120
  • Endocrinology, Diabetes and Metabolism 241
  • Pharmaceutical Science 52
  • Epidemiology 141
  • Pharmacology 61
Replace William J. Zavadoski with:
William J. Zavadoski United States
Daniel A. Briere United States
Glenn N. Sivits United States
Yue Feng United States
Larissa I. Atangan United States
Kristian Tage Hansen Denmark
Ana Kilić Germany
Carolyn M. Jodka Spain
Tomohiko Sasase Japan
Melinda Pedraza United States
Sarah Will relative to William J. Zavadoski United States William J. Zavadoski's profile →
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William J. Zavadoski · 1×
Citations per year

Countries citing papers authored by Sarah Will

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sarah Will Line = papers co-authored together Sarah Will links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016215
2 2006124
3 2008120
4 202166
5 200961
6 201755
7 201847
8 201834
9 201934
10 202432
11 202126
12 201323
13 202418
14 200917
15 201217
16 202013
17 201711
18 200910
19 202210
20 20258

About Sarah Will

Sarah Will is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Pharmaceutical Science, Epidemiology and Surgery, having authored 24 papers that have together received 952 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (9 papers), Diabetes Treatment and Management (8 papers), Liver Disease Diagnosis and Treatment (3 papers), Pancreatic function and diabetes (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Advanced Drug Delivery Systems (3 papers), Drug Solubulity and Delivery Systems (2 papers) and Bariatric Surgery and Outcomes (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (120 citations), Endocrinology, Diabetes and Metabolism (241 citations), Pharmaceutical Science (52 citations), Epidemiology (141 citations) and Pharmacology (61 citations). Sarah Will has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Mylène Perreault, James L. Trevaskis, Stephanie N. Oldham, Christopher J. Rhodes, James F. Tobin, Steven J. Kirincich, Yanling Zhang, Vipin Suri, Suyue Wang and David V. Erbe. Their work appears in journals such as Molecular Metabolism, Diabetes Obesity and Metabolism, Diabetes, Pharmaceutics and Endocrinology.

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.

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