Robert M. Blanton

2.8k total citations
56 papers, 2.1k citations indexed

About

Robert M. Blanton is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Robert M. Blanton has authored 56 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cardiology and Cardiovascular Medicine, 33 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Robert M. Blanton's work include Cardiac Fibrosis and Remodeling (16 papers), Heart Failure Treatment and Management (11 papers) and Cardiovascular Function and Risk Factors (10 papers). Robert M. Blanton is often cited by papers focused on Cardiac Fibrosis and Remodeling (16 papers), Heart Failure Treatment and Management (11 papers) and Cardiovascular Function and Risk Factors (10 papers). Robert M. Blanton collaborates with scholars based in United States, Japan and Spain. Robert M. Blanton's co-authors include Mark Aronovitz, Pilar Alcaide, Richard H. Karas, Ane Salvador, Tania Nevers, Francisco Velázquez, Francisco J. Carrillo‐Salinas, Michael E. Mendelsohn, Eiki Takimoto and David A. Kass and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Robert M. Blanton

52 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert M. Blanton United States 24 1.2k 1.0k 374 248 224 56 2.1k
John Fassett United States 28 742 0.6× 1.1k 1.0× 456 1.2× 297 1.2× 182 0.8× 46 2.2k
Takahisa Noma Japan 26 1.1k 0.9× 877 0.8× 351 0.9× 333 1.3× 101 0.5× 91 2.3k
Toshiaki Kadokami Japan 22 1.1k 0.9× 528 0.5× 361 1.0× 332 1.3× 252 1.1× 68 1.8k
Norimichi Koitabashi Japan 32 1.5k 1.2× 1.5k 1.5× 498 1.3× 335 1.4× 128 0.6× 83 2.8k
Xiaoyan Qi China 26 1.3k 1.1× 935 0.9× 202 0.5× 149 0.6× 126 0.6× 67 2.2k
Shinichi Hirotani Japan 24 890 0.7× 1.1k 1.1× 342 0.9× 341 1.4× 195 0.9× 61 2.4k
Fouad A. Zouein Lebanon 27 772 0.6× 669 0.6× 197 0.5× 313 1.3× 365 1.6× 82 2.0k
Pamela Harding United States 28 614 0.5× 698 0.7× 315 0.8× 144 0.6× 187 0.8× 62 1.8k
Praphulla Chandra Shukla India 17 555 0.4× 784 0.8× 352 0.9× 178 0.7× 221 1.0× 39 1.8k
Alan J. Mouton United States 19 1.0k 0.8× 893 0.9× 259 0.7× 402 1.6× 356 1.6× 49 2.2k

Countries citing papers authored by Robert M. Blanton

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. Blanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. Blanton. 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 Robert M. Blanton. The network helps show where Robert M. Blanton may publish in the future.

Co-authorship network of co-authors of Robert M. Blanton

This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. Blanton. A scholar is included among the top collaborators of Robert M. Blanton 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 Robert M. Blanton. Robert M. Blanton 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.
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Awata, Junya, et al.. (2024). Cell-Penetrating Peptide Enhances Tafazzin Gene Therapy in Mouse Model of Barth Syndrome. International Journal of Molecular Sciences. 25(24). 13560–13560.
3.
Draper, Isabelle, Wan‐Ting Huang, Timothy D. Calamaras, et al.. (2024). The splicing factor hnRNPL demonstrates conserved myocardial regulation across species and is altered in heart failure. FEBS Letters. 598(21). 2670–2682. 1 indexed citations
4.
Blanton, Robert M., Olga Kashpur, Wei Cui, et al.. (2023). hnRNPL expression dynamics in the embryo and placenta. Gene Expression Patterns. 48. 119319–119319. 3 indexed citations
5.
Ghanem, G., James A. Weston, Ivana Hollan, et al.. (2023). Deficiency of miR-409-3p improves myocardial neovascularization and function through modulation of DNAJB9/p38 MAPK signaling. Molecular Therapy — Nucleic Acids. 32. 995–1009. 8 indexed citations
6.
Awata, Junya, et al.. (2023). A novel αB-crystallin R123W variant drives hypertrophic cardiomyopathy by promoting maladaptive calcium-dependent signal transduction. Frontiers in Cardiovascular Medicine. 10. 1223244–1223244. 5 indexed citations
7.
Chen, Howard H., Zehedina Khatun, Choukri Mekkaoui, et al.. (2022). A nanoparticle probe for the imaging of autophagic flux in live mice via magnetic resonance and near-infrared fluorescence. Nature Biomedical Engineering. 6(9). 1045–1056. 23 indexed citations
8.
Calamaras, Timothy D., R. Baumgärtner, Seung Kyum Kim, et al.. (2021). MLK3 mediates impact of PKG1α on cardiac function and controls blood pressure through separate mechanisms. JCI Insight. 6(18). 5 indexed citations
9.
10.
Richards, Daniel A., Mark Aronovitz, Timothy D. Calamaras, et al.. (2019). Distinct Phenotypes Induced by Three Degrees of Transverse Aortic Constriction in Mice. Scientific Reports. 9(1). 5844–5844. 101 indexed citations
11.
Ngwenyama, Njabulo, et al.. (2018). Trypanosoma cruzi Neurotrophic Factor Facilitates Cardiac Repair in a Mouse Model of Chronic Chagas Disease. Journal of Pharmacology and Experimental Therapeutics. 368(1). 11–20. 2 indexed citations
12.
Morine, Kevin, Xiaoying Qiao, Vikram Paruchuri, et al.. (2017). Reduced activin receptor-like kinase 1 activity promotes cardiac fibrosis in heart failure. Cardiovascular Pathology. 31. 26–33. 17 indexed citations
13.
Morine, Kevin, Xiaoying Qiao, Vikram Paruchuri, et al.. (2017). Conditional knockout of activin like kinase-1 (ALK-1) leads to heart failure without maladaptive remodeling. Heart and Vessels. 32(5). 628–636. 18 indexed citations
14.
15.
Blanton, Robert M., et al.. (2017). Abstract 154: CCDC80 Functions as a Protein Kinase GI Substrate and is Secreted by Cardiac Myocytes. Circulation Research. 121(suppl_1). 1 indexed citations
16.
Khankin, Eliyahu V., Robert M. Blanton, Mark Aronovitz, et al.. (2015). Exposure to Experimental Preeclampsia in Mice Enhances the Vascular Response to Future Injury. Hypertension. 65(4). 863–870. 65 indexed citations
17.
Parikh, Abhirath, Jincheng Wu, Robert M. Blanton, & Emmanuel S. Tzanakakis. (2015). Signaling Pathways and Gene Regulatory Networks in Cardiomyocyte Differentiation. Tissue Engineering Part B Reviews. 21(4). 377–392. 30 indexed citations
18.
Kapur, Navin K., Vikram Paruchuri, Mark Aronovitz, et al.. (2013). Biventricular Remodeling in Murine Models of Right Ventricular Pressure Overload. PLoS ONE. 8(7). e70802–e70802. 19 indexed citations
19.
Wang, Guangrong, Howard K. Surks, Kwong‐Yui Tang, et al.. (2013). Steroid-sensitive Gene 1 Is a Novel Cyclic GMP-dependent Protein Kinase I Substrate in Vascular Smooth Muscle Cells. Journal of Biological Chemistry. 288(34). 24972–24983. 11 indexed citations
20.
Takimoto, Eiki, Norimichi Koitabashi, Steven Hsu, et al.. (2009). Regulator of G protein signaling 2 mediates cardiac compensation to pressure overload and antihypertrophic effects of PDE5 inhibition in mice. Journal of Clinical Investigation. 119(2). 408–20. 165 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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