Stephanie A. Schroer
- Hematology top 10%
- Physiology top 10%
- Adipose Tissue and Metabolism 8
- Geriatrics and Gerontology top 10%
- Cell Biology top 10%
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- Pancreatic function and diabetes 18
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- Metabolism, Diabetes, and Cancer 11
- Cell death mechanisms and regulation 5
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- Adipokines, Inflammation, and Metabolic Diseases 9
- Liver Disease Diagnosis and Treatment 6
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- Diabetes and associated disorders 4
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- Cytokine Signaling Pathways and Interactions 4
- Co-authors
- Minna WooCynthia T. LukSally Yu ShiCarl F. PieperErica P. CaiDiana ChoiHerbert Y. GaisanoTharini Sivasubramaniyam
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (5 papers)Nature Medicine (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Stephanie A. Schroer
42 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 114
- Hematology 145
- Physiology 326
- Geriatrics and Gerontology 42
- Cell Biology 172
- Endocrinology, Diabetes and Metabolism 157
Countries citing papers authored by Stephanie A. Schroer
This map shows the geographic impact of Stephanie A. Schroer'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 Stephanie A. Schroer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie A. Schroer more than expected).
Fields of papers citing papers by Stephanie A. Schroer
This network shows the impact of papers produced by Stephanie A. Schroer. 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 Stephanie A. Schroer. The network helps show where Stephanie A. Schroer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephanie A. Schroer, 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 | 2023 | 12 | |
| 2 | 2021 | 6 | |
| 3 | 2020 | 12 | |
| 4 | 2017 | 15 | |
| 5 | 2017 | 40 | |
| 6 | 2015 | 43 | |
| 7 | 2015 | 2 | |
| 8 | 2015 | 33 | |
| 9 | 2014 | 5 | |
| 10 | 2014 | 52 | |
| 11 | 2014 | 7 | |
| 12 | 2014 | 16 | |
| 13 | 2012 | 59 | |
| 14 | 2011 | 8 | |
| 15 | 2011 | 42 | |
| 16 | 2011 | 18 | |
| 17 | 2010 | 110 | |
| 18 | 2009 | 22 | |
| 19 | 2009 | 11 | |
| 20 | 2008 | 10 |
About Stephanie A. Schroer
Stephanie A. Schroer is a scholar working on Geriatrics and Gerontology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (18 papers), Metabolism, Diabetes, and Cancer (11 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Adipose Tissue and Metabolism (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Cell death mechanisms and regulation (5 papers), Diabetes and associated disorders (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Hematology (145 citations), Physiology (326 citations) and Geriatrics and Gerontology (42 citations). Stephanie A. Schroer has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Minna Woo, Cynthia T. Luk, Sally Yu Shi, Carl F. Pieper, Erica P. Cai, Diana Choi, Herbert Y. Gaisano, Tharini Sivasubramaniyam, Linyuan Wang and Tak W. Mak. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
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.