Stephen S. Navran

516 total citations
19 papers, 409 citations indexed

About

Stephen S. Navran is a scholar working on Molecular Biology, Physiology and Organic Chemistry. According to data from OpenAlex, Stephen S. Navran has authored 19 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Physiology and 3 papers in Organic Chemistry. Recurrent topics in Stephen S. Navran's work include Nitric Oxide and Endothelin Effects (5 papers), Ion channel regulation and function (4 papers) and Ion Transport and Channel Regulation (3 papers). Stephen S. Navran is often cited by papers focused on Nitric Oxide and Endothelin Effects (5 papers), Ion channel regulation and function (4 papers) and Ion Transport and Channel Regulation (3 papers). Stephen S. Navran collaborates with scholars based in United States, France and Mexico. Stephen S. Navran's co-authors include Jeffrey C. Allen, C L Seidel, Duane D. Miller, Dennis R. Feller, Addison A. Taylor, Thorunn Helgason, Huzoor‐Akbar, Bruce F. Holifield, Andrew M. Kahn and Karl Romstedt and has published in prestigious journals such as Journal of Clinical Investigation, Circulation Research and Journal of Medicinal Chemistry.

In The Last Decade

Stephen S. Navran

19 papers receiving 402 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen S. Navran United States 13 193 120 91 69 64 19 409
Ryoji Yokota Japan 12 298 1.5× 113 0.9× 114 1.3× 80 1.2× 66 1.0× 21 701
Kazuhiro Okahara Japan 9 108 0.6× 67 0.6× 109 1.2× 94 1.4× 51 0.8× 11 383
J. Russell Linderman United States 10 169 0.9× 112 0.9× 122 1.3× 29 0.4× 20 0.3× 12 440
Erion Qamirani United States 11 132 0.7× 95 0.8× 60 0.7× 162 2.3× 51 0.8× 14 542
Timothy R. Hansen United States 8 132 0.7× 69 0.6× 51 0.6× 40 0.6× 20 0.3× 10 394
Svetlana Laidinen Finland 15 288 1.5× 62 0.5× 126 1.4× 79 1.1× 32 0.5× 23 560
Ursula Baur Switzerland 11 263 1.4× 164 1.4× 123 1.4× 79 1.1× 21 0.3× 11 573
Yongzhen Guo China 14 285 1.5× 116 1.0× 105 1.2× 141 2.0× 29 0.5× 23 640
Kuei-Fu Lin United States 11 227 1.2× 100 0.8× 214 2.4× 46 0.7× 59 0.9× 12 522
Henny Schulten Netherlands 8 207 1.1× 57 0.5× 36 0.4× 69 1.0× 33 0.5× 9 451

Countries citing papers authored by Stephen S. Navran

Since Specialization
Citations

This map shows the geographic impact of Stephen S. Navran'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 Stephen S. Navran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen S. Navran more than expected).

Fields of papers citing papers by Stephen S. Navran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen S. Navran. 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 Stephen S. Navran. The network helps show where Stephen S. Navran may publish in the future.

Co-authorship network of co-authors of Stephen S. Navran

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen S. Navran. A scholar is included among the top collaborators of Stephen S. Navran 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 Stephen S. Navran. Stephen S. Navran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Xiao, Siyu, et al.. (2022). Mutant SRF and YAP synthetic modified mRNAs drive cardiomyocyte nuclear replication. 2(3). 29–29. 6 indexed citations
2.
Islas, José Francisco, et al.. (2020). A Highly Conductive 3D Cardiac Patch Fabricated Using Cardiac Myocytes Reprogrammed from Human Adipogenic Mesenchymal Stem Cells. Cardiovascular Engineering and Technology. 11(2). 205–218. 18 indexed citations
3.
Islas, José Francisco, Clifford C. Dacso, Vladimir N. Potaman, et al.. (2019). β‐Adrenergic stimuli and rotating suspension culture enhance conversion of human adipogenic mesenchymal stem cells into highly conductive cardiac progenitors. Journal of Tissue Engineering and Regenerative Medicine. 14(2). 306–318. 11 indexed citations
4.
Navran, Stephen S.. (2008). The application of low shear modeled microgravity to 3-D cell biology and tissue engineering. PubMed. 14. 275–296. 35 indexed citations
5.
Holifield, Bruce F., Thorunn Helgason, Addison A. Taylor, et al.. (1996). Differentiated vascular myocytes: are they involved in neointimal formation?. Journal of Clinical Investigation. 97(3). 814–825. 104 indexed citations
6.
Kahn, Andrew M., E. J. Cragoe, Jeffrey C. Allen, et al.. (1992). Effects of serotonin on intracellular pH and contraction in vascular smooth muscle.. Circulation Research. 71(6). 1294–1304. 19 indexed citations
7.
Navran, Stephen S., et al.. (1990). Serotonin-induced Na+/K+ pump stimulation in vascular smooth muscle cells. Evidence for coupling to multiple receptor mechanisms.. Journal of Pharmacology and Experimental Therapeutics. 256(1). 297–303. 18 indexed citations
8.
Allen, Jeffrey C., et al.. (1989). Intracellular Na+ regulation of Na+ pump sites in cultured vascular smooth muscle cells. American Journal of Physiology-Cell Physiology. 256(4). C786–C792. 31 indexed citations
9.
Navran, Stephen S., et al.. (1988). Sodium pump stimulation by activation of two alpha adrenergic receptor subtypes in canine blood vessels.. Journal of Pharmacology and Experimental Therapeutics. 245(2). 608–613. 8 indexed citations
10.
Navran, Stephen S. & Jeffrey C. Allen. (1986). Comparison of ouabain-sensitive 86Rb uptake of canine renal and femoral arteries. American Journal of Physiology-Cell Physiology. 251(2). C247–C251. 8 indexed citations
11.
12.
Allen, Jeffrey C., Stephen S. Navran, & Andrew M. Kahn. (1986). Na+-K+-ATPase in vascular smooth muscle. American Journal of Physiology-Cell Physiology. 250(4). C536–C539. 23 indexed citations
13.
Mukhopadhyay, Amitabha, Stephen S. Navran, H M Amin, et al.. (1985). Effect of trimetoquinol analogs for antagonism of endoperoxide/thromboxane A2-mediated responses in human platelets and rat aorta.. Journal of Pharmacology and Experimental Therapeutics. 232(1). 1–9. 21 indexed citations
14.
Huzoor‐Akbar, Asoke Mukhopadhyay, Karen S. Anderson, et al.. (1985). Antagonism of prostaglandin-mediated responses in platelets and vascular smooth muscle by 13-azaprostanoic acid analogs. Biochemical Pharmacology. 34(5). 641–647. 23 indexed citations
15.
Allen, Jeffrey C. & Stephen S. Navran. (1984). Role of the Na+ pump in smooth muscle contractile regulation. Trends in Pharmacological Sciences. 5. 462–465. 14 indexed citations
16.
17.
Huzoor‐Akbar, Stephen S. Navran, Duane D. Miller, & Dennis R. Feller. (1982). Antiplatelet actions of trimetoquinol isomers: evidence for inhibition of a prostaglandin-independent pathway of platelet aggregation. Biochemical Pharmacology. 31(5). 886–889. 11 indexed citations
18.
Huzoor‐Akbar, Stephen S. Navran, Jane Chang, Duane D. Miller, & Dennis R. Feller. (1982). Investigation of the effects of phospholipase C on human platelets: evidence that aggregation induced by phospholipase C is independent of prostaglandin generation, released ADP and is modulated by cyclic AMP. Thrombosis Research. 27(4). 405–417. 13 indexed citations
19.
Navran, Stephen S., et al.. (1981). Stereo-dependent inhibition of human platelet function by the optical isomers of trimetoquinol. Biochemical Pharmacology. 30(16). 2237–2241. 23 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.

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