Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Atrial natriuretic factor in normal subjects and heart failure patients. Plasma levels and renal, hormonal, and hemodynamic responses to peptide infusion.
1986571 citationsRobert Cody, Steven A. Atlas et al.profile →
The Renin-Angiotensin Aldosterone System: Pathophysiological Role and Pharmacologic Inhibition
Countries citing papers authored by Steven A. Atlas
Since
Specialization
Citations
This map shows the geographic impact of Steven A. Atlas'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 Steven A. Atlas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven A. Atlas more than expected).
This network shows the impact of papers produced by Steven A. Atlas. 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 Steven A. Atlas. The network helps show where Steven A. Atlas may publish in the future.
Co-authorship network of co-authors of Steven A. Atlas
This figure shows the co-authorship network connecting the top 25 collaborators of Steven A. Atlas.
A scholar is included among the top collaborators of Steven A. Atlas based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Steven A. Atlas. Steven A. Atlas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Atlas, Steven A., et al.. (2019). Abstract 12912: Efficacy of Calcium Channel Blockers in Comparison to Renin-Angiotensin System Inhibitors on Urinary Albumin Excretion in Hypertensive Patient With Diabetic Nephropathy. A Meta-Analysis of Randomized Control Trials. Circulation.
Vongpatanasin, Wanpen, Kazuomi Kario, Steven A. Atlas, & Ronald G. Victor. (2011). Central Sympatholytic Drugs. Journal of Clinical Hypertension. 13(9). 658–661.23 indexed citations
Laragh, John H. & Steven A. Atlas. (1988). Atrial natriuretic hormone: a regulator of blood pressure and volume homeostasis.. PubMed. 25. S64–71.42 indexed citations
9.
Sealey, Jean E., Nicola Glorioso, Joseph Itskovitz, et al.. (1987). Ovarian Prorenin. Clinical and Experimental Hypertension Part A Theory and Practice. 9(8-9). 1435–1454.6 indexed citations
Volpe, Massimo, Alessandro Mele, Nicola De Luca, et al.. (1986). Carotid baroreceptor unloading decreases plasma atrial natriuretic factor in hypertensive patients.. PubMed. 4(6). S519–22.5 indexed citations
14.
Atlas, Steven A., Andreas P. Niarchos, & David B. Case. (1983). Inhibitors of the Renin-Angiotensin System. American Journal of Nephrology. 3(2-3). 118–127.29 indexed citations
Atlas, Steven A., Jay L. Zweíer, & Daniel W. Nebert. (1980). Genetic differences in phenytoin pharmacokinetics. In vivo clearance and in vitro metabolism among inbred strains of mice.. PubMed. 1(5). 281–304.21 indexed citations
Kouri, Richard E., Thomas H. Rude, Patrick M. Dansette, et al.. (1978). 2,3,7,8-tetrachlorodibenzo-p-dioxin as cocarcinogen causing 3-methylcholanthrene-initiated subcutaneous tumors in mice genetically "nonresponsive" at Ah locus.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 38(9). 2777–83.54 indexed citations
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.