Michaela Patterson

2.3k total citations
34 papers, 1.8k citations indexed

About

Michaela Patterson is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Michaela Patterson has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 15 papers in Cardiology and Cardiovascular Medicine and 7 papers in Surgery. Recurrent topics in Michaela Patterson's work include Congenital heart defects research (16 papers), Cardiomyopathy and Myosin Studies (9 papers) and CRISPR and Genetic Engineering (8 papers). Michaela Patterson is often cited by papers focused on Congenital heart defects research (16 papers), Cardiomyopathy and Myosin Studies (9 papers) and CRISPR and Genetic Engineering (8 papers). Michaela Patterson collaborates with scholars based in United States, United Kingdom and China. Michaela Patterson's co-authors include William E. Lowry, Henry M. Sucov, Amander T. Clark, Kathrin Plath, Peiheng Gan, Anne Lindgren, Hua Shen, Yukiko Yamaguchi, Ben Van Handel and Hanna Mikkola and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Circulation Research.

In The Last Decade

Michaela Patterson

32 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaela Patterson United States 18 1.4k 310 285 231 202 34 1.8k
Rajan Jain United States 29 2.2k 1.6× 306 1.0× 601 2.1× 333 1.4× 114 0.6× 61 3.4k
Diego Fraidenraich United States 19 1.1k 0.8× 211 0.7× 167 0.6× 127 0.5× 192 1.0× 46 1.5k
Matthew Gemberling United States 15 2.1k 1.5× 335 1.1× 338 1.2× 333 1.4× 59 0.3× 16 2.5k
Jizhong Zou United States 25 2.3k 1.6× 106 0.3× 210 0.7× 469 2.0× 365 1.8× 77 2.8k
Jane C. Lee United States 14 1.6k 1.1× 352 1.1× 191 0.7× 151 0.7× 340 1.7× 19 1.9k
Kristina Vintersten Nagy Canada 12 1.6k 1.1× 105 0.3× 247 0.9× 604 2.6× 285 1.4× 25 2.3k
Nicole Dubois United States 19 2.1k 1.5× 212 0.7× 898 3.2× 204 0.9× 99 0.5× 36 2.6k
Paris Ataliotis United Kingdom 18 1.6k 1.2× 90 0.3× 293 1.0× 499 2.2× 97 0.5× 27 2.4k
Daniel Bilbao United States 23 2.1k 1.5× 206 0.7× 223 0.8× 168 0.7× 206 1.0× 60 2.9k
Kyeyoon Park United States 19 1.4k 1.0× 368 1.2× 128 0.4× 292 1.3× 69 0.3× 25 1.8k

Countries citing papers authored by Michaela Patterson

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Patterson

This figure shows the co-authorship network connecting the top 25 collaborators of Michaela Patterson. A scholar is included among the top collaborators of Michaela Patterson 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 Michaela Patterson. Michaela Patterson 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.
Zhang, Jiandong, Manuel Rosa‐Garrido, Douglas J. Chapski, et al.. (2025). Novel insights into post-myocardial infarction cardiac remodeling through algorithmic detection of cell-type composition shifts. PLoS Genetics. 21(7). e1011807–e1011807.
2.
Patterson, Michaela, et al.. (2024). Protocol for quantifying murine cardiomyocyte cell division by single-cell suspension. STAR Protocols. 5(4). 103452–103452.
3.
Veldman, Matthew B., et al.. (2024). Runx1 is sufficient but not required for cardiomyocyte cell-cycle activation. American Journal of Physiology-Heart and Circulatory Physiology. 327(2). H377–H389. 4 indexed citations
4.
Patterson, Michaela, et al.. (2024). The genetics of cardiomyocyte polyploidy. Current topics in developmental biology. 156. 245–295. 3 indexed citations
5.
O’Meara, Caitlin C., et al.. (2024). A broadly applicable method for quantifying cardiomyocyte cell division identifies proliferative events following myocardial infarction. Cell Reports Methods. 4(9). 100860–100860. 4 indexed citations
6.
Zhou, Xiaoxu, Pengyuan Liu, Jenny Drnevich, et al.. (2023). Myofibroblast Ccn3 is regulated by Yap and Wwtr1 and contributes to adverse cardiac outcomes. Frontiers in Cardiovascular Medicine. 10. 1142612–1142612. 4 indexed citations
7.
Rau, Christoph, et al.. (2023). Cardiomyocyte ploidy is dynamic during postnatal development and varies across genetic backgrounds. Development. 150(7). 23 indexed citations
8.
Sucov, Henry M., et al.. (2023). Tnni3k influences cardiomyocyte S-phase activity and proliferation. Journal of Molecular and Cellular Cardiology. 183. 22–26. 6 indexed citations
9.
Nik, Amirala Bakhshian, et al.. (2023). IL-13 promotes functional recovery after myocardial infarction via direct signaling to macrophages. JCI Insight. 9(2). 11 indexed citations
10.
Wang, Xinrui, et al.. (2021). Conditional depletion of the acetyltransferase Tip60 protects against the damaging effects of myocardial infarction. Journal of Molecular and Cellular Cardiology. 163. 9–19. 14 indexed citations
11.
Patterson, Michaela, et al.. (2021). IL4Rα signaling promotes neonatal cardiac regeneration and cardiomyocyte cell cycle activity. Journal of Molecular and Cellular Cardiology. 161. 62–74. 16 indexed citations
12.
Gan, Peiheng, Michaela Patterson, Di Tian, et al.. (2019). Tnni3k alleles influence ventricular mononuclear diploid cardiomyocyte frequency. PLoS Genetics. 15(10). e1008354–e1008354. 26 indexed citations
13.
Patterson, Michaela, et al.. (2019). Residual Diploidy in Polyploid Tissues: A Cellular State with Enhanced Proliferative Capacity for Tissue Regeneration?. Stem Cells and Development. 28(23). 1527–1539. 16 indexed citations
14.
Patterson, Michaela, Lindsey Barske, Ben Van Handel, et al.. (2017). Frequency of mononuclear diploid cardiomyocytes underlies natural variation in heart regeneration. Nature Genetics. 49(9). 1346–1353. 241 indexed citations
15.
Patterson, Michaela, Xavier Gaeta, Karen M. J. van Loo, et al.. (2014). let-7 miRNAs Can Act through Notch to Regulate Human Gliogenesis. Stem Cell Reports. 3(5). 758–773. 82 indexed citations
16.
Gaymes, Terry J., Abidali Mohamedali, Michaela Patterson, et al.. (2013). Microsatellite instability induced mutations in DNA repair genes CtIP and MRE11 confer hypersensitivity to poly (ADP-ribose) polymerase inhibitors in myeloid malignancies. Haematologica. 98(9). 1397–1406. 52 indexed citations
17.
Patterson, Michaela, et al.. (2011). Defining the nature of human pluripotent stem cell progeny. Cell Research. 22(1). 178–193. 112 indexed citations
18.
Tchieu, Jason, Edward Kuoy, Mark H. Chin, et al.. (2010). Female Human iPSCs Retain an Inactive X Chromosome. Cell stem cell. 7(3). 329–342. 211 indexed citations
19.
Sánchez‐Pernaute, Rosario, Hyojin Lee, Michaela Patterson, et al.. (2008). Parthenogenetic dopamine neurons from primate embryonic stem cells restore function in experimental Parkinson's disease. Brain. 131(8). 2127–2139. 61 indexed citations
20.
Ferretti, Patrizia, Donna M. Fekete, Michaela Patterson, & E. B. Lane. (1989). Transient expression of simple epithelial keratins by mesenchymal cells of regenerating newt limb. Developmental Biology. 133(2). 415–424. 57 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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