Sameer Stas
Impact in
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- Hormonal Regulation and Hypertension
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- Blood Pressure and Hypertension Studies
- Cardiovascular Disease and Adiposity
Papers in ⓘ
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- Hormonal Regulation and Hypertension 4
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
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- Blood Pressure and Hypertension Studies 4
- Co-authors
- James R. Sowers (10 shared papers)Guido Lastra (5 shared papers)Camila Manrique (4 shared papers)Fadi El‐Atat (2 shared papers)Javad Habibi (4 shared papers)Samy I. McFarlane (1 shared paper)Shawna A. Cooper (2 shared papers)Adam Whaley‐Connell (2 shared papers)
- Journals
- Current Hypertension Reports (2 papers)Urology (1 paper)Endocrinology (1 paper)Medical Clinics of North America (1 paper)Journal of the American Society of Nephrology (1 paper)
- Partner nations
- United States
In The Last Decade
Sameer Stas
12 papers receiving 760 citations
Peers
Comparison fields: 5 of 89
- Endocrinology, Diabetes and Metabolism 336
- Cardiology and Cardiovascular Medicine 275
- Nephrology 61
- Physiology 172
- Pharmacology 107
Countries citing papers authored by Sameer Stas
This map shows the geographic impact of Sameer Stas'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 Sameer Stas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer Stas more than expected).
Fields of papers citing papers by Sameer Stas
This network shows the impact of papers produced by Sameer Stas. 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 Sameer Stas. The network helps show where Sameer Stas may publish in the future.
Co-authors
The 24 scholars most cited alongside Sameer Stas, 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 | 2007 | 230 | |
| 2 | 2004 | 160 | |
| 3 | 2011 | 87 | |
| 4 | 2007 | 86 | |
| 5 | 2008 | 46 | |
| 6 | Ultrastructural islet study of early fibrosis in the Ren2 rat model of hypertension. Emerging role of the islet pancreatic pericyte-stellate cell. | 2007 | 40 |
| 7 | 2008 | 35 | |
| 8 | 2004 | 28 | |
| 9 | 2006 | 27 | |
| 10 | 2008 | 20 | |
| 11 | 2006 | 18 | |
| 12 | 2003 | 10 |
About Sameer Stas
Sameer Stas is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Pharmacology, Surgery and Molecular Biology, having authored 12 papers that have together received 787 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), Hormonal Regulation and Hypertension (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Apelin-related biomedical research (2 papers), Pharmacology and Obesity Treatment (2 papers), Regulation of Appetite and Obesity (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (336 citations), Cardiology and Cardiovascular Medicine (275 citations), Nephrology (61 citations), Physiology (172 citations) and Pharmacology (107 citations). Sameer Stas has collaborated with scholars based in United States. Frequent co-authors include James R. Sowers, Guido Lastra, Camila Manrique, Fadi El‐Atat, Javad Habibi, Samy I. McFarlane, Shawna A. Cooper, Adam Whaley‐Connell, L. Romayne Kurukulasuriya and Yongzhong Wei. Their work appears in journals such as Current Hypertension Reports, Urology, Endocrinology, Medical Clinics of North America and Journal of the American Society of Nephrology.
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.