Aaron Proweller

1.1k total citations
18 papers, 906 citations indexed

About

Aaron Proweller is a scholar working on Molecular Biology, Neurology and Cancer Research. According to data from OpenAlex, Aaron Proweller has authored 18 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Neurology and 4 papers in Cancer Research. Recurrent topics in Aaron Proweller's work include Congenital heart defects research (7 papers), Developmental Biology and Gene Regulation (6 papers) and Cerebrovascular and genetic disorders (5 papers). Aaron Proweller is often cited by papers focused on Congenital heart defects research (7 papers), Developmental Biology and Gene Regulation (6 papers) and Cerebrovascular and genetic disorders (5 papers). Aaron Proweller collaborates with scholars based in United States, Slovakia and Japan. Aaron Proweller's co-authors include Michael S. Parmacek, Warren S. Pear, Lili Tu, Jonathan A. Epstein, Min Lü, Lan Cheng, Maozhen Zhang, Frances A. High, J. Scott Butler and Ke Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Aaron Proweller

18 papers receiving 893 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron Proweller United States 13 702 129 108 88 86 18 906
Jifu Yang United States 9 500 0.7× 99 0.8× 248 2.3× 42 0.5× 77 0.9× 11 797
David Van Mater United States 14 540 0.8× 143 1.1× 152 1.4× 45 0.5× 39 0.5× 24 869
Irene Noguera United States 7 639 0.9× 177 1.4× 85 0.8× 53 0.6× 17 0.2× 8 927
Abraham Fong United States 15 788 1.1× 53 0.4× 99 0.9× 156 1.8× 45 0.5× 25 1.3k
Sandrine Levet France 8 362 0.5× 44 0.3× 120 1.1× 44 0.5× 43 0.5× 10 656
Tanya A. Rege United States 8 339 0.5× 108 0.8× 148 1.4× 44 0.5× 47 0.5× 13 735
Sophie Astrof United States 16 582 0.8× 172 1.3× 75 0.7× 18 0.2× 54 0.6× 28 928
Julie Lozier United States 7 623 0.9× 54 0.4× 104 1.0× 60 0.7× 76 0.9× 8 935
Mina Jamali Canada 9 303 0.4× 46 0.4× 28 0.3× 51 0.6× 106 1.2× 14 597
James Hyland United States 15 297 0.4× 92 0.7× 199 1.8× 37 0.4× 64 0.7× 26 853

Countries citing papers authored by Aaron Proweller

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Proweller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Proweller

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

All Works

18 of 18 papers shown
1.
Blanchard, Melvin, M. Caroline Burton, Mark W. Geraci, et al.. (2018). Best Practices for Physician-Scientist Training Programs: Recommendations from the Alliance for Academic Internal Medicine. The American Journal of Medicine. 131(5). 578–584. 20 indexed citations
2.
Benson, Bryan L., Lee E. Neilson, Ashley B. Saunders, et al.. (2018). Aryl Hydrocarbon Receptor Nuclear Translocator in Vascular Smooth Muscle Cells Is Required for Optimal Peripheral Perfusion Recovery. Journal of the American Heart Association. 7(11). 2 indexed citations
3.
Basu, Sanchita, et al.. (2018). Notch signaling regulates arterial vasoreactivity through opposing functions of Jagged1 and Dll4 in the vessel wall. American Journal of Physiology-Heart and Circulatory Physiology. 315(6). H1835–H1850. 10 indexed citations
4.
Basu, Sanchita & Aaron Proweller. (2015). Autoregulatory Control of Smooth Muscle Myosin Light Chain Kinase Promoter by Notch Signaling. Journal of Biological Chemistry. 291(6). 2988–2999. 7 indexed citations
5.
Hale, Andrew T., Fernando O. Recio, Mohammad A. Shatat, et al.. (2014). Endothelial Krüppel-like Factor 4 Regulates Angiogenesis and the Notch Signaling Pathway. Journal of Biological Chemistry. 289(17). 12016–12028. 65 indexed citations
6.
Basu, Sanchita, Dinesh Kumar Srinivasan, Ke Yang, et al.. (2013). Notch Transcriptional Control of Vascular Smooth Muscle Regulatory Gene Expression and Function. Journal of Biological Chemistry. 288(16). 11191–11202. 19 indexed citations
7.
Yang, Ke, et al.. (2013). Regulation of pre-natal circle of Willis assembly by vascular smooth muscle Notch signaling. Developmental Biology. 381(1). 107–120. 11 indexed citations
8.
Han, Yu, Ke Yang, Aaron Proweller, et al.. (2012). Inhibition of ARNT severely compromises endothelial cell viability and function in response to moderate hypoxia. Angiogenesis. 15(3). 409–420. 16 indexed citations
9.
Yang, Ke & Aaron Proweller. (2011). Vascular Smooth Muscle Notch Signals Regulate Endothelial Cell Sensitivity to Angiogenic Stimulation. Journal of Biological Chemistry. 286(15). 13741–13753. 34 indexed citations
10.
Huang, Jianhe, Lan Cheng, Jian Li, et al.. (2008). Myocardin regulates expression of contractile genes in smooth muscle cells and is required for closure of the ductus arteriosus in mice. Journal of Clinical Investigation. 118(2). 515–25. 116 indexed citations
11.
High, Frances A., Maozhen Zhang, Aaron Proweller, et al.. (2007). An essential role for Notch in neural crest during cardiovascular development and smooth muscle differentiation. Journal of Clinical Investigation. 117(2). 353–363. 205 indexed citations
12.
Proweller, Aaron, et al.. (2007). Vascular abnormalities revealed by Notch signaling‐deficient vascular smooth muscle in mice. The FASEB Journal. 21(5). 1 indexed citations
13.
Proweller, Aaron, Debra E. Horng, Lan Cheng, et al.. (2007). Notch signaling in vascular smooth muscle cells is required to pattern the cerebral vasculature. Proceedings of the National Academy of Sciences. 104(41). 16275–16280. 32 indexed citations
14.
Proweller, Aaron, Lili Tu, John J. Lepore, et al.. (2006). Impaired Notch Signaling Promotes De novo Squamous Cell Carcinoma Formation. Cancer Research. 66(15). 7438–7444. 172 indexed citations
15.
Proweller, Aaron, Warren S. Pear, & Michael S. Parmacek. (2005). Notch Signaling Represses Myocardin-induced Smooth Muscle Cell Differentiation. Journal of Biological Chemistry. 280(10). 8994–9004. 101 indexed citations
16.
Proweller, Aaron & J. Scott Butler. (1997). Ribosome Concentration Contributes to Discrimination against Poly(A)− mRNA during Translation Initiation in Saccharomyces cerevisiae. Journal of Biological Chemistry. 272(9). 6004–6010. 30 indexed citations
17.
Proweller, Aaron & J. Scott Butler. (1996). Ribosomal Association of Poly(A)-binding Protein in Poly(A)-deficient Saccharomyces cerevisiae. Journal of Biological Chemistry. 271(18). 10859–10865. 25 indexed citations
18.
Proweller, Aaron & Stephen A. Butler. (1994). Efficient translation of poly(A)-deficient mRNAs in Saccharomyces cerevisiae.. Genes & Development. 8(21). 2629–2640. 40 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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