Milton E. Brown

2.7k total citations
37 papers, 2.2k citations indexed

About

Milton E. Brown is a scholar working on Surgery, Molecular Biology and Biomaterials. According to data from OpenAlex, Milton E. Brown has authored 37 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 18 papers in Molecular Biology and 13 papers in Biomaterials. Recurrent topics in Milton E. Brown's work include Tissue Engineering and Regenerative Medicine (19 papers), Electrospun Nanofibers in Biomedical Applications (13 papers) and Congenital heart defects research (6 papers). Milton E. Brown is often cited by papers focused on Tissue Engineering and Regenerative Medicine (19 papers), Electrospun Nanofibers in Biomedical Applications (13 papers) and Congenital heart defects research (6 papers). Milton E. Brown collaborates with scholars based in United States, South Korea and China. Milton E. Brown's co-authors include Michael Davis, Joshua T. Maxwell, Manu O. Platt, Shohini Ghosh-Choudhary, Niren Murthy, Archana V. Boopathy, Mario D. Martinez, Kristin M. French, Richard Gevirtz and Warren D. Gray and has published in prestigious journals such as Nature Materials, ACS Nano and Journal of the American College of Cardiology.

In The Last Decade

Milton E. Brown

36 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milton E. Brown United States 25 1.0k 759 587 473 442 37 2.2k
Yong Sook Kim South Korea 28 1.2k 1.1× 712 0.9× 455 0.8× 560 1.2× 408 0.9× 74 2.9k
Yongzhe Che China 25 933 0.9× 473 0.6× 442 0.8× 316 0.7× 144 0.3× 52 2.2k
Elisa Garbayo Spain 28 790 0.8× 575 0.8× 787 1.3× 515 1.1× 129 0.3× 52 2.1k
Stefania Montagnani Italy 33 844 0.8× 747 1.0× 257 0.4× 388 0.8× 475 1.1× 103 2.9k
Xiaowei Li China 28 744 0.7× 434 0.6× 514 0.9× 518 1.1× 156 0.4× 114 2.4k
Mickey Scheinowitz Israel 22 1.1k 1.1× 863 1.1× 243 0.4× 236 0.5× 752 1.7× 75 2.6k
Yuuki Shimizu Japan 28 680 0.7× 653 0.9× 389 0.7× 244 0.5× 322 0.7× 116 2.4k
Gallia Graiani Italy 29 1.1k 1.1× 551 0.7× 261 0.4× 180 0.4× 574 1.3× 60 2.8k
Jean R. McEwan United Kingdom 30 743 0.7× 549 0.7× 223 0.4× 416 0.9× 939 2.1× 69 3.2k

Countries citing papers authored by Milton E. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Milton E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Milton E. Brown. 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 Milton E. Brown. The network helps show where Milton E. Brown may publish in the future.

Co-authorship network of co-authors of Milton E. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Milton E. Brown. A scholar is included among the top collaborators of Milton E. Brown 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 Milton E. Brown. Milton E. Brown 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.
Brown, Milton E., et al.. (2025). In vivo assessment of iPSC-cardiomyocyte loaded auxetic cardiac patches following chronic myocardial infarction. Biomaterials. 323. 123418–123418. 2 indexed citations
2.
Peoples, Jessica N., Anja Karlstaedt, Joshua T. Geiger, et al.. (2024). The mitochondrial citrate carrier SLC25A1 regulates metabolic reprogramming and morphogenesis in the developing heart. Communications Biology. 7(1). 1422–1422. 6 indexed citations
3.
4.
Brown, Milton E., et al.. (2022). Using computational methods to design patient-specific electrospun cardiac patches for pediatric heart failure. Biomaterials. 283. 121421–121421. 5 indexed citations
5.
6.
Jing, Bowen, Milton E. Brown, Michael Davis, & Brooks D. Lindsey. (2020). Imaging the Activation of Low-Boiling-Point Phase-Change Contrast Agents in the Presence of Tissue Motion Using Ultrafast Inter-frame Activation Ultrasound Imaging. Ultrasound in Medicine & Biology. 46(6). 1474–1489. 9 indexed citations
7.
Agarwal, Udit, Alex George, Shohini Ghosh-Choudhary, et al.. (2016). Experimental, Systems, and Computational Approaches to Understanding the MicroRNA-Mediated Reparative Potential of Cardiac Progenitor Cell–Derived Exosomes From Pediatric Patients. Circulation Research. 120(4). 701–712. 138 indexed citations
8.
Boopathy, Archana V., et al.. (2015). Intramyocardial Delivery of Notch Ligand-Containing Hydrogels Improves Cardiac Function and Angiogenesis Following Infarction. Tissue Engineering Part A. 21(17-18). 2315–2322. 50 indexed citations
9.
Boopathy, Archana V., Inthirai Somasuntharam, Vincent F. Fiore, et al.. (2014). The modulation of cardiac progenitor cell function by hydrogel-dependent Notch1 activation. Biomaterials. 35(28). 8103–8112. 42 indexed citations
10.
Khan, Raffay, Mario D. Martinez, Jay C. Sy, et al.. (2014). Targeting Extracellular DNA to Deliver IGF-1 to the Injured Heart. Scientific Reports. 4(1). 4257–4257. 34 indexed citations
11.
Brown, Milton E., et al.. (2014). Cultured Human Bone Marrow–Derived CD31+ Cells Are Effective for Cardiac and Vascular Repair Through Enhanced Angiogenic, Adhesion, and Anti-Inflammatory Effects. Journal of the American College of Cardiology. 64(16). 1681–1694. 48 indexed citations
12.
Gray, Warren D., Kristin M. French, Shohini Ghosh-Choudhary, et al.. (2014). Identification of Therapeutic Covariant MicroRNA Clusters in Hypoxia-Treated Cardiac Progenitor Cell Exosomes Using Systems Biology. Circulation Research. 116(2). 255–263. 318 indexed citations
13.
Somasuntharam, Inthirai, Archana V. Boopathy, Raffay Khan, et al.. (2013). Delivery of Nox2-NADPH oxidase siRNA with polyketal nanoparticles for improving cardiac function following myocardial infarction. Biomaterials. 34(31). 7790–7798. 102 indexed citations
14.
Gevirtz, Richard, et al.. (2013). Utilizing Heartbeat Evoked Potentials to Identify Cardiac Regulation of Vagal Afferents During Emotion and Resonant Breathing. Applied Psychophysiology and Biofeedback. 38(4). 241–255. 61 indexed citations
15.
Pendergrass, Karl D., et al.. (2013). Acute Preconditioning of Cardiac Progenitor Cells with Hydrogen Peroxide Enhances Angiogenic Pathways Following Ischemia-Reperfusion Injury. Stem Cells and Development. 22(17). 2414–2424. 44 indexed citations
16.
17.
Phelps, Edward A., et al.. (2012). Dual Delivery of Hepatocyte and Vascular Endothelial Growth Factors via a Protease-Degradable Hydrogel Improves Cardiac Function in Rats. PLoS ONE. 7(11). e50980–e50980. 70 indexed citations
18.
Gevirtz, Richard, et al.. (2011). Heart Rate Variability as a Marker of Self-Regulation. Applied Psychophysiology and Biofeedback. 36(3). 209–215. 80 indexed citations
19.
Swanson, Kimberly, et al.. (2009). The Effect of Biofeedback on Function in Patients with Heart Failure. Applied Psychophysiology and Biofeedback. 34(2). 71–91. 66 indexed citations
20.
Sy, Jay C., Stephen C. Yang, Milton E. Brown, et al.. (2008). Sustained release of a p38 inhibitor from non-inflammatory microspheres inhibits cardiac dysfunction. Nature Materials. 7(11). 863–868. 99 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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