Sameer N. Stas

1.1k citations
13 papers · 858 · h-index 12

Impact in

Papers in

Sameer N. Stas

13 papers receiving 824 citations

Peers

Sameer N. Stas
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 317
  • Cardiology and Cardiovascular Medicine 252
  • Nephrology 62
  • Physiology 159
  • Pharmacology 96
Replace M. Bergonzani with:
M. Bergonzani Italy
Lucio Luchetti Italy
Helmut Steinberg United States
L. Romayne Kurukulasuriya United States
Piero Angelo Bonati Italy
Yuji Hirai Japan
Ming-Sheng Zhou United States
Oana A. Sandu United States
Cieran N. Ennis United Kingdom
Petra Schling Germany
Sameer N. Stas relative to M. Bergonzani Italy M. Bergonzani's profile →
Citations per field
00.5×2×4×6×8.3×
M. Bergonzani · 1×
Citations per year

Countries citing papers authored by Sameer N. Stas

Since Specialization
Citations

This map shows the geographic impact of Sameer N. 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 N. 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 N. Stas more than expected).

Fields of papers citing papers by Sameer N. Stas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sameer N. 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 N. Stas. The network helps show where Sameer N. Stas may publish in the future.

Co-authors

The 24 scholars most cited alongside Sameer N. Stas, 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 Sameer N. Stas Line = papers co-authored together Sameer N. Stas links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2007245
2 2004169
3 201197
4 200791
5 200851
6
Ultrastructural islet study of early fibrosis in the Ren2 rat model of hypertension. Emerging role of the islet pancreatic pericyte-stellate cell.
200743
7 200839
8 200631
9 200430
10 200822
11 200618
12 200812
13 200310

About Sameer N. Stas

Sameer N. Stas is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Pharmacology, Endocrine and Autonomic Systems and Physiology, having authored 13 papers that have together received 858 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (5 papers), Blood Pressure and Hypertension Studies (4 papers), Renin-Angiotensin System Studies (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Regulation of Appetite and Obesity (2 papers), Pharmacology and Obesity Treatment (2 papers) and Apelin-related biomedical research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (317 citations), Cardiology and Cardiovascular Medicine (252 citations), Nephrology (62 citations), Physiology (159 citations) and Pharmacology (96 citations). Sameer N. Stas has collaborated with scholars based in United States. Frequent co-authors include James R. Sowers, Guido Lastra, Camila Margarita Manrique, Fadi A El-Atat, Javad Habibi, Samy I. McFarlane, Adam T. Whaley‐Connell, L. Romayne Kurukulasuriya, Shawna A. Cooper and Yongzhong Wei. Their work appears in journals such as Current Hypertension Reports, Medical Clinics of North America, Urology, Reviews in Endocrine and Metabolic Disorders and American Journal of Physiology-Heart and Circulatory Physiology.

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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