Bardia Askari

1.6k total citations
20 papers, 1.3k citations indexed

About

Bardia Askari is a scholar working on Molecular Biology, Physiology and Pharmacology. According to data from OpenAlex, Bardia Askari has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Pharmacology. Recurrent topics in Bardia Askari's work include Peroxisome Proliferator-Activated Receptors (5 papers), Inflammatory mediators and NSAID effects (5 papers) and Nitric Oxide and Endothelin Effects (3 papers). Bardia Askari is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (5 papers), Inflammatory mediators and NSAID effects (5 papers) and Nitric Oxide and Endothelin Effects (3 papers). Bardia Askari collaborates with scholars based in United States, China and Netherlands. Bardia Askari's co-authors include Karin Bornfeldt, Nader G. Abraham, Alberto Nasjletti, Robert A. Johnson, Farah Kramer, Wei-Zhong Zhu, Yiheng Xie, Kara White Moyes, Michael A. Laflamme and Joseph Gold and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Circulation Research.

In The Last Decade

Bardia Askari

20 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bardia Askari United States 15 802 208 175 166 134 20 1.3k
Rody San Martín Chile 26 619 0.8× 144 0.7× 154 0.9× 158 1.0× 249 1.9× 57 1.7k
Reena Rao United States 19 906 1.1× 141 0.7× 168 1.0× 148 0.9× 84 0.6× 26 1.4k
Senthil Duraisamy United States 19 530 0.7× 123 0.6× 137 0.8× 99 0.6× 91 0.7× 28 1.2k
Takahiro Ueno Japan 21 625 0.8× 175 0.8× 129 0.7× 92 0.6× 112 0.8× 64 1.3k
Jun Hao China 23 629 0.8× 146 0.7× 167 1.0× 264 1.6× 176 1.3× 57 1.3k
Katrin Brodbeck Germany 15 610 0.8× 141 0.7× 296 1.7× 136 0.8× 97 0.7× 18 1.1k
Leighton R. James United States 19 472 0.6× 103 0.5× 130 0.7× 133 0.8× 51 0.4× 38 961
Hao Zhao China 19 608 0.8× 128 0.6× 222 1.3× 183 1.1× 149 1.1× 53 1.3k
Tamotsu Yokota Japan 21 589 0.7× 184 0.9× 162 0.9× 338 2.0× 115 0.9× 37 1.4k
Hee‐Seong Jang South Korea 21 522 0.7× 171 0.8× 98 0.6× 392 2.4× 63 0.5× 47 1.3k

Countries citing papers authored by Bardia Askari

Since Specialization
Citations

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

Fields of papers citing papers by Bardia Askari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bardia Askari. 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 Bardia Askari. The network helps show where Bardia Askari may publish in the future.

Co-authorship network of co-authors of Bardia Askari

This figure shows the co-authorship network connecting the top 25 collaborators of Bardia Askari. A scholar is included among the top collaborators of Bardia Askari 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 Bardia Askari. Bardia Askari 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.
Askari, Bardia, et al.. (2024). Exacerbation of atherosclerosis, hyperlipidemia and inflammation by MK886, an inhibitor of leukotriene biosynthesis, in obese and diabetic mice. SHILAP Revista de lepidopterología. 7. 100203–100203. 1 indexed citations
2.
Ojamaa, Kaie, Abigail Samuels, Kuo Zhang, et al.. (2020). BNP as a New Biomarker of Cardiac Thyroid Hormone Function. Frontiers in Physiology. 11. 729–729. 16 indexed citations
3.
Askari, Bardia, Tomasz Wietecha, Kelly L. Hudkins, et al.. (2014). Effects of CP-900691, a novel peroxisome proliferator-activated receptor α, agonist on diabetic nephropathy in the BTBR ob/ob mouse. Laboratory Investigation. 94(8). 851–862. 10 indexed citations
4.
Pichaiwong, Warangkana, Kelly L. Hudkins, Tomasz Wietecha, et al.. (2013). Reversibility of Structural and Functional Damage in a Model of Advanced Diabetic Nephropathy. Journal of the American Society of Nephrology. 24(7). 1088–1102. 133 indexed citations
5.
Rubinow, Katya B., Valerie Wall, Joel D. Nelson, et al.. (2013). Acyl-CoA Synthetase 1 Is Induced by Gram-negative Bacteria and Lipopolysaccharide and Is Required for Phospholipid Turnover in Stimulated Macrophages. Journal of Biological Chemistry. 288(14). 9957–9970. 57 indexed citations
6.
Elms, Shawn, Feng Chen, Yusi Wang, et al.. (2013). Insights into the arginine paradox: evidence against the importance of subcellular location of arginase and eNOS. American Journal of Physiology-Heart and Circulatory Physiology. 305(5). H651–H666. 68 indexed citations
7.
Askari, Bardia, Farah Kramer, Shelley Barnhart, et al.. (2011). Long-chain acyl-CoA synthetase 4 modulates prostaglandin E2 release from human arterial smooth muscle cells. Journal of Lipid Research. 52(4). 782–793. 129 indexed citations
8.
Hudkins, Kelly L., Warangkana Pichaiwong, Tomasz Wietecha, et al.. (2010). BTBR Ob/Ob Mutant Mice Model Progressive Diabetic Nephropathy. Journal of the American Society of Nephrology. 21(9). 1533–1542. 176 indexed citations
9.
Zhu, Wei-Zhong, Yiheng Xie, Kara White Moyes, et al.. (2010). Neuregulin/ErbB Signaling Regulates Cardiac Subtype Specification in Differentiating Human Embryonic Stem Cells. Circulation Research. 107(6). 776–786. 168 indexed citations
10.
Ware, Carol B., Linlin Wang, Brigham H. Mecham, et al.. (2009). Histone Deacetylase Inhibition Elicits an Evolutionarily Conserved Self-Renewal Program in Embryonic Stem Cells. Cell stem cell. 4(4). 359–369. 134 indexed citations
11.
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13.
Askari, Bardia, et al.. (2003). Oleate, not ligands of the receptor for advanced glycation end-products, promotes proliferation of human arterial smooth muscle cells. Diabetologia. 46(12). 1676–1687. 20 indexed citations
14.
Askari, Bardia, et al.. (2002). Oleate and Linoleate Enhance the Growth-promoting Effects of Insulin-like Growth Factor-I through a Phospholipase D-dependent Pathway in Arterial Smooth Muscle Cells. Journal of Biological Chemistry. 277(39). 36338–36344. 39 indexed citations
15.
Askari, Bardia, et al.. (2002). Regulation of smooth muscle cell accumulation in diabetes-accelerated atherosclerosis.. PubMed. 17(4). 1317–28. 14 indexed citations
16.
Askari, Bardia, et al.. (2001). Regulation of prostacyclin synthesis by angiotensin II and TNF-α in vascular smooth muscle. Prostaglandins & Other Lipid Mediators. 63(4). 175–187. 13 indexed citations
17.
Ferreri, Nicholas R., et al.. (1997). LYMPHOTOXIN-β AND TNF REGULATION IN T CELL SUBSETS: DIFFERENTIAL EFFECTS OF PGE2. Cytokine. 9(3). 157–165. 8 indexed citations
18.
Askari, Bardia, et al.. (1997). Analysis of Eicosanoid Mediation of the Renal Functional Effects of Hyperchloremia,. Journal of Pharmacology and Experimental Therapeutics. 282(1). 101–107. 15 indexed citations
19.
Johnson, Robert A., et al.. (1995). A Heme Oxygenase Product, Presumably Carbon Monoxide, Mediates a Vasodepressor Function in Rats. Hypertension. 25(2). 166–169. 165 indexed citations
20.
Ferreri, Nicholas R., et al.. (1993). Tumor Necrosis Factor-α and Lymphotoxin: Regulation by PGE2 in T-Cell Subsets. 2(3). 245–254. 1 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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