Sylvia V. Reyna

513 total citations
8 papers, 451 citations indexed

About

Sylvia V. Reyna is a scholar working on Molecular Biology, Biochemistry and Clinical Biochemistry. According to data from OpenAlex, Sylvia V. Reyna has authored 8 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Biochemistry and 3 papers in Clinical Biochemistry. Recurrent topics in Sylvia V. Reyna's work include Amino Acid Enzymes and Metabolism (5 papers), Metabolism and Genetic Disorders (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). Sylvia V. Reyna is often cited by papers focused on Amino Acid Enzymes and Metabolism (5 papers), Metabolism and Genetic Disorders (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). Sylvia V. Reyna collaborates with scholars based in United States. Sylvia V. Reyna's co-authors include Andrew I. Schafer, William Durante, Kelly J. Peyton, Lan Liao, Diana Ensenat, Xiaoming Liu, Gary B. Chapman, Hong Wang, Hong Wang and Saamir Hassan and has published in prestigious journals such as Circulation, Blood and Biochemical Journal.

In The Last Decade

Sylvia V. Reyna

8 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvia V. Reyna United States 7 256 128 116 55 52 8 451
M. Watanabe Japan 4 117 0.5× 191 1.5× 108 0.9× 17 0.3× 53 1.0× 8 606
Fatih Süheyl Ezgü Türkiye 15 296 1.2× 45 0.4× 262 2.3× 63 1.1× 71 1.4× 100 724
László Potor Hungary 12 161 0.6× 77 0.6× 63 0.5× 52 0.9× 46 0.9× 17 339
Paulina L. Pedraza United States 13 246 1.0× 39 0.3× 67 0.6× 69 1.3× 35 0.7× 16 474
Zoltán Hendrik Hungary 12 132 0.5× 72 0.6× 59 0.5× 44 0.8× 39 0.8× 18 331
Christopher Hall United States 12 246 1.0× 59 0.5× 61 0.5× 49 0.9× 37 0.7× 25 510
Carlo Ruocco Italy 8 155 0.6× 70 0.5× 206 1.8× 31 0.6× 49 0.9× 11 736
T. Ohura Japan 15 495 1.9× 273 2.1× 114 1.0× 15 0.3× 60 1.2× 33 959
Byung‐Hyun Park South Korea 14 206 0.8× 37 0.3× 99 0.9× 61 1.1× 29 0.6× 15 531
Victor Lavis United States 17 252 1.0× 27 0.2× 98 0.8× 99 1.8× 21 0.4× 41 775

Countries citing papers authored by Sylvia V. Reyna

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia V. Reyna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sylvia V. Reyna. 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 Sylvia V. Reyna. The network helps show where Sylvia V. Reyna may publish in the future.

Co-authorship network of co-authors of Sylvia V. Reyna

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

All Works

8 of 8 papers shown
1.
Reyna, Sylvia V.. (2004). Cyclic strain stimulates -proline transport in vascular smooth muscle cells*1. American Journal of Hypertension. 17(8). 712–717. 13 indexed citations
2.
Liu, Xiaoming, Sylvia V. Reyna, Diana Ensenat, et al.. (2004). Platelet‐derived growth factor stimulates LAT1 gene expression in vascular smooth muscle: Role in cell growth. The FASEB Journal. 18(6). 768–770. 68 indexed citations
3.
Durante, William, Sylvia V. Reyna, Diana Ensenat, et al.. (2004). PLATELET-DERIVED GROWTH FACTOR STIMULATES LAT1 GENE EXPRESSION IN VASCULAR SMOOTH MUSCLE: ROLE IN CELL GROWTH. Cardiovascular Pathology. 13(3). 126–126. 2 indexed citations
4.
Peyton, Kelly J., Sylvia V. Reyna, Gary B. Chapman, et al.. (2002). Heme oxygenase-1–derived carbon monoxide is an autocrine inhibitor of vascular smooth muscle cell growth. Blood. 99(12). 4443–4448. 141 indexed citations
5.
Ensenat, Diana, Saamir Hassan, Sylvia V. Reyna, Andrew I. Schafer, & William Durante. (2001). Transforming growth factor-β1 stimulates vascular smooth muscle cell l-proline transport by inducing system A amino acid transporter 2 (SAT2) gene expression. Biochemical Journal. 360(2). 507–507. 12 indexed citations
6.
Ensenat, Diana, Saamir Hassan, Sylvia V. Reyna, Andrew I. Schafer, & William Durante. (2001). Transforming growth factor-β1 stimulates vascular smooth muscle cell l-proline transport by inducing system A amino acid transporter 2 (SAT2) gene expression. Biochemical Journal. 360(2). 507–512. 7 indexed citations
7.
Durante, William, Lan Liao, Sylvia V. Reyna, Kelly J. Peyton, & Andrew I. Schafer. (2001). Transforming Growth Factor-β 1 Stimulates l -Arginine Transport and Metabolism in Vascular Smooth Muscle Cells. Circulation. 103(8). 1121–1127. 128 indexed citations
8.
Durante, William, Lan Liao, Sylvia V. Reyna, Kelly J. Peyton, & Andrew I. Schafer. (2000). Physiological cyclic stretch directs L‐arginine transport and metabolism to collagen synthesis in vascular smooth muscle. The FASEB Journal. 14(12). 1775–1783. 80 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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