T. Cooper Woods

1.1k total citations
30 papers, 871 citations indexed

About

T. Cooper Woods is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, T. Cooper Woods has authored 30 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Surgery and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in T. Cooper Woods's work include Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (4 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). T. Cooper Woods is often cited by papers focused on Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (4 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). T. Cooper Woods collaborates with scholars based in United States, Italy and Japan. T. Cooper Woods's co-authors include Daniel Lightell, Andrew R. Marks, Hernan A. Bazán, Akemi Katsurada, L. Gabriel Navar, Corey K. Goldman, Vivian Fonseca, Courtney Dugas, Ryousuke Satou and Yung‐Wei Chi and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Stroke.

In The Last Decade

T. Cooper Woods

30 papers receiving 857 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Cooper Woods United States 18 419 252 219 181 149 30 871
Mariana Kiomy Osako Japan 20 421 1.0× 122 0.5× 171 0.8× 194 1.1× 106 0.7× 40 1.2k
K. Vinod Vijayan United States 21 312 0.7× 98 0.4× 157 0.7× 201 1.1× 158 1.1× 43 1.2k
Elena Revuelta‐López Spain 16 303 0.7× 167 0.7× 226 1.0× 330 1.8× 55 0.4× 51 826
Prue Cowled Australia 20 361 0.9× 99 0.4× 195 0.9× 136 0.8× 387 2.6× 46 1.1k
Seema Dangwal Germany 18 684 1.6× 538 2.1× 158 0.7× 172 1.0× 79 0.5× 27 1.2k
Lai Zhang China 16 417 1.0× 249 1.0× 89 0.4× 85 0.5× 63 0.4× 37 774
Xiaoxiang Tian China 21 526 1.3× 208 0.8× 181 0.8× 132 0.7× 76 0.5× 62 1.1k
Yulia Kiyan Germany 19 321 0.8× 229 0.9× 115 0.5× 88 0.5× 71 0.5× 31 923
Hiroshi Niiyama Japan 15 382 0.9× 71 0.3× 235 1.1× 186 1.0× 106 0.7× 30 844
Fu‐Xing‐Zi Li China 17 798 1.9× 433 1.7× 80 0.4× 102 0.6× 96 0.6× 32 1.2k

Countries citing papers authored by T. Cooper Woods

Since Specialization
Citations

This map shows the geographic impact of T. Cooper Woods'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 T. Cooper Woods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Cooper Woods more than expected).

Fields of papers citing papers by T. Cooper Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Cooper Woods. 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 T. Cooper Woods. The network helps show where T. Cooper Woods may publish in the future.

Co-authorship network of co-authors of T. Cooper Woods

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

All Works

20 of 20 papers shown
1.
Yu, Heng, et al.. (2023). Diabetes is accompanied by secretion of pro-atherosclerotic exosomes from vascular smooth muscle cells. Cardiovascular Diabetology. 22(1). 112–112. 18 indexed citations
2.
Bazán, Hernan A., et al.. (2022). A pro-inflammatory and fibrous cap thinning transcriptome profile accompanies carotid plaque rupture leading to stroke. Scientific Reports. 12(1). 13499–13499. 12 indexed citations
3.
Higashi, Yusuke, Shaw‐Yung Shai, Svitlana Danchuk, et al.. (2020). Endothelial deficiency of insulin-like growth factor-1 receptor reduces endothelial barrier function and promotes atherosclerosis in Apoe-deficient mice. American Journal of Physiology-Heart and Circulatory Physiology. 319(4). H730–H743. 24 indexed citations
4.
Woods, T. Cooper, Ryousuke Satou, Kayoko Miyata, et al.. (2019). Canagliflozin Prevents Intrarenal Angiotensinogen Augmentation and Mitigates Kidney Injury and Hypertension in Mouse Model of Type 2 Diabetes Mellitus. American Journal of Nephrology. 49(4). 331–342. 89 indexed citations
5.
Sukhanov, Sergiy, Yusuke Higashi, Shaw‐Yung Shai, et al.. (2018). SM22α (Smooth Muscle Protein 22-α) Promoter-Driven IGF1R (Insulin-Like Growth Factor 1 Receptor) Deficiency Promotes Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 38(10). 2306–2317. 27 indexed citations
6.
Bazán, Hernan A., et al.. (2017). PC212 Role of Circulating miRNAs in Carotid Atherosclerotic Plaque Vulnerability: Implications for Stroke. Journal of Vascular Surgery. 65(6). 196S–196S. 1 indexed citations
8.
Bazán, Hernan A., Yan Lu, Bokkyoo Jun, et al.. (2017). Circulating inflammation-resolving lipid mediators RvD1 and DHA are decreased in patients with acutely symptomatic carotid disease. Prostaglandins Leukotrienes and Essential Fatty Acids. 125. 43–47. 42 indexed citations
9.
Bazán, Hernan A., et al.. (2017). Carotid Plaque Rupture Is Accompanied by an Increase in the Ratio of Serum circR-284 to miR-221 Levels. Circulation Cardiovascular Genetics. 10(4). 91 indexed citations
10.
Bazán, Hernan A., et al.. (2015). Acute Loss of miR-221 and miR-222 in the Atherosclerotic Plaque Shoulder Accompanies Plaque Rupture. Stroke. 46(11). 3285–3287. 65 indexed citations
11.
Lightell, Daniel, et al.. (2013). Elevation of miR-221 and -222 in the internal mammary arteries of diabetic subjects and normalization with metformin. Molecular and Cellular Endocrinology. 374(1-2). 125–129. 64 indexed citations
12.
Woods, T. Cooper. (2013). Dysregulation of the Mammalian Target of Rapamycin and p27Kip1 Promotes Intimal Hyperplasia in Diabetes Mellitus. Pharmaceuticals. 6(6). 716–727. 17 indexed citations
13.
Lightell, Daniel, et al.. (2012). Elevated Serum Bone Morphogenetic Protein 4 in Patients with Chronic Kidney Disease and Coronary Artery Disease. Journal of Cardiovascular Translational Research. 6(2). 232–238. 11 indexed citations
14.
Lightell, Daniel, et al.. (2010). Rapamycin Regulates Endothelial Cell Migration through Regulation of the Cyclin-dependent Kinase Inhibitor p27Kip1. Journal of Biological Chemistry. 285(16). 11991–11997. 50 indexed citations
15.
16.
Lightell, Daniel, et al.. (2009). Sera From Patients With Diabetes Do Not Alter the Effect of Mammalian Target of Rapamycin Inhibition on Smooth Muscle Cell Proliferation. Journal of Cardiovascular Pharmacology. 53(1). 86–89. 1 indexed citations
18.
Chi, Yung‐Wei, Christopher J. White, T. Cooper Woods, & Corey K. Goldman. (2006). Ultrasound velocity criteria for carotid in‐stent restenosis. Catheterization and Cardiovascular Interventions. 69(3). 349–354. 52 indexed citations
19.
Woods, T. Cooper, et al.. (2002). Activation of EphB2 and Its Ligands Promotes Vascular Smooth Muscle Cell Proliferation. Journal of Biological Chemistry. 277(3). 1924–1927. 8 indexed citations
20.
Woods, T. Cooper, et al.. (1996). Bacteremia Due to Providencia stuartii:. Southern Medical Journal. 89(2). 221–224. 22 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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