Aruna Poduri

1.3k total citations
17 papers, 953 citations indexed

About

Aruna Poduri is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Aruna Poduri has authored 17 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Aruna Poduri's work include Congenital heart defects research (5 papers), Cholesterol and Lipid Metabolism (3 papers) and Receptor Mechanisms and Signaling (3 papers). Aruna Poduri is often cited by papers focused on Congenital heart defects research (5 papers), Cholesterol and Lipid Metabolism (3 papers) and Receptor Mechanisms and Signaling (3 papers). Aruna Poduri collaborates with scholars based in United States, India and Finland. Aruna Poduri's co-authors include Alan Daugherty, Brian Raftrey, Lisa A. Cassis, Heidi I. Chen, Debra L. Rateri, Andrew H. Chang, Kristy Red‐Horse, Irving L. Weissman, Jessica J. Moorleghen and Andrew McKay and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Genes & Development.

In The Last Decade

Aruna Poduri

17 papers receiving 935 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aruna Poduri United States	14	470	208	201	199	105	17	953
Xuefei Tian United States	20	496 1.1×	223 1.1×	129 0.6×	92 0.5×	134 1.3×	60	1.1k
El Houari Laghmani Netherlands	19	575 1.2×	393 1.9×	227 1.1×	120 0.6×	75 0.7×	30	1.1k
Haocheng Lu United States	17	514 1.1×	228 1.1×	184 0.9×	126 0.6×	90 0.9×	39	1.1k
Daigo Sawaki Japan	18	411 0.9×	261 1.3×	170 0.8×	429 2.2×	52 0.5×	43	1.1k
Pascal Trouvé France	17	384 0.8×	186 0.9×	144 0.7×	236 1.2×	108 1.0×	37	795
Micah L. Burch Australia	21	683 1.5×	119 0.6×	135 0.7×	142 0.7×	172 1.6×	28	1.2k
Panagiotis Flevaris United States	13	378 0.8×	89 0.4×	103 0.5×	194 1.0×	152 1.4×	14	930
Jan Willem N. Akkerman Netherlands	18	254 0.5×	158 0.8×	227 1.1×	280 1.4×	64 0.6×	29	1.2k
Vien Le United States	11	595 1.3×	107 0.5×	115 0.6×	160 0.8×	154 1.5×	20	1.2k
Anthony G. Passerini United States	19	501 1.1×	124 0.6×	213 1.1×	224 1.1×	148 1.4×	31	1.2k

Countries citing papers authored by Aruna Poduri

Since Specialization

Citations

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

Fields of papers citing papers by Aruna Poduri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aruna Poduri

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

All Works

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17 of 17 papers shown

Stanley, Geoff, Rahul Sinha, Gaetano D’Amato, et al.. (2018). Single-cell analysis of early progenitor cells that build coronary arteries. Nature. 559(7714). 356–362. 155 indexed citations

Poduri, Aruna, Andrew H. Chang, Brian Raftrey, et al.. (2017). Endothelial cells respond to the direction of mechanical stimuli through SMAD signaling to regulate coronary artery size. Development. 144(18). 3241–3252. 69 indexed citations

Chang, Andrew H., Brian Raftrey, Gaetano D’Amato, et al.. (2017). DACH1 stimulates shear stress-guided endothelial cell migration and coronary artery growth through the CXCL12–CXCR4 signaling axis. Genes & Development. 31(13). 1308–1324. 67 indexed citations

Volz, Katharina S., Heidi I. Chen, Aruna Poduri, et al.. (2015). Pericytes are progenitors for coronary artery smooth muscle. eLife. 4. 165 indexed citations

Poduri, Aruna, Debra L. Rateri, Deborah A. Howatt, et al.. (2015). Fibroblast Angiotensin II Type 1a Receptors Contribute to Angiotensin II–Induced Medial Hyperplasia in the Ascending Aorta. Arteriosclerosis Thrombosis and Vascular Biology. 35(9). 1995–2002. 39 indexed citations

Chen, Heidi I., Aruna Poduri, Riikka Kivelä, et al.. (2014). VEGF-C and aortic cardiomyocytes guide coronary artery stem development. Journal of Clinical Investigation. 124(11). 4899–4914. 83 indexed citations

Poduri, Aruna, et al.. (2012). Citrullus lanatus ‘sentinel’ (watermelon) extract reduces atherosclerosis in LDL receptor-deficient mice. The Journal of Nutritional Biochemistry. 24(5). 882–886. 41 indexed citations

Poduri, Aruna, A. Phillip Owens, Deborah A. Howatt, et al.. (2012). Regional Variation in Aortic AT1b Receptor mRNA Abundance Is Associated with Contractility but Unrelated to Atherosclerosis and Aortic Aneurysms. PLoS ONE. 7(10). e48462–e48462. 33 indexed citations

Poduri, Aruna, Ajay Bahl, K.K. Talwar, & Madhu Khullar. (2011). Proteomic analysis of circulating human monocytes in coronary artery disease. Molecular and Cellular Biochemistry. 360(1-2). 181–188. 12 indexed citations

10.

Uchida, Haruhito A., Aruna Poduri, Venkateswaran Subramanian, Lisa A. Cassis, & Alan Daugherty. (2011). Urokinase-Type Plasminogen Activator Deficiency in Bone Marrow–Derived Cells Augments Rupture of Angiotensin II–Induced Abdominal Aortic Aneurysms. Arteriosclerosis Thrombosis and Vascular Biology. 31(12). 2845–2852. 38 indexed citations

11.

Rateri, Debra L., Jessica J. Moorleghen, Anju Balakrishnan, et al.. (2011). Endothelial Cell–Specific Deficiency of Ang II Type 1a Receptors Attenuates Ang II–Induced Ascending Aortic Aneurysms in LDL Receptor ^−/− Mice. Circulation Research. 108(5). 574–581. 123 indexed citations

12.

Poduri, Aruna, et al.. (2010). Common Variants of HMGCR, CETP, APOAI, ABCB1, CYP3A4 , and CYP7A1 Genes as Predictors of Lipid-Lowering Response to Atorvastatin Therapy. DNA and Cell Biology. 29(10). 629–637. 39 indexed citations

13.

Daugherty, Alan, Aruna Poduri, Xiaofeng Chen, Hong Lü, & Lisa A. Cassis. (2010). Genetic Variants of the Renin Angiotensin System: Effects on Atherosclerosis in Experimental Models and Humans. Current Atherosclerosis Reports. 12(3). 167–173. 10 indexed citations

14.

Poduri, Aruna, Madhu Khullar, Ajay Bahl, Yash Paul Sharma, & K.K. Talwar. (2009). A Combination of Proatherogenic Single-Nucleotide Polymorphisms Is Associated with Increased Risk of Coronary Artery Disease and Myocardial Infarction in Asian Indians. DNA and Cell Biology. 28(9). 451–460. 22 indexed citations

15.

Poduri, Aruna, et al.. (2008). Effect of ACE inhibitors and β-blockers on homocysteine levels in essential hypertension. Journal of Human Hypertension. 22(4). 289–294. 24 indexed citations

16.

Poduri, Aruna, Debabrata Mukherjee, Kamal Sud, et al.. (2007). MTHFR A1298C polymorphism is associated with cardiovascular risk in end stage renal disease in North Indians. Molecular and Cellular Biochemistry. 308(1-2). 43–50. 22 indexed citations

17.

Poduri, Aruna & Jeane Ann Grisso. (1998). Cardiovascular risk factors in economically disadvantaged women: a study of prevalence and awareness.. PubMed. 90(9). 531–6. 11 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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