Michaela Patterson

2.4k citations
37 papers · 1.9k · h-index 18

Impact in

    • Neurogenesis and neuroplasticity mechanisms
    • Pluripotent Stem Cells Research
    • Congenital heart defects research
    • CRISPR and Genetic Engineering
    • Epigenetics and DNA Methylation

Papers in

Michaela Patterson

34 papers receiving 1.9k citations

Peers

Michaela Patterson
Comparison fields: 5 of 82
  • Developmental Neuroscience 148
  • Molecular Biology 1.4k
  • Cardiology and Cardiovascular Medicine 307
  • Genetics 117
  • Cellular and Molecular Neuroscience 185
Replace Rajan Jain with:
Rajan Jain United States
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Diego Fraidenraich United States
Jane C. Lee United States
Jizhong Zou United States
Paris Ataliotis United Kingdom
Jun Yong China
Nicole C. Dubois United States
Kristina Vintersten Nagy Canada
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Michaela Patterson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michaela Patterson Line = papers co-authored together Michaela Patterson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009316
2 2017256
3 2010231
4 2015132
5 2011124
6 2007104
7 201489
8 200871
9 201966
10 201266
11 198957
12 201352
13 201141
14 202039
15 201237
16 202330
17 202229
18 201925
19 201917
20 202117

About Michaela Patterson

Michaela Patterson is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Developmental Neuroscience and Genetics, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Congenital heart defects research (15 papers), Cardiomyopathy and Myosin Studies (10 papers), CRISPR and Genetic Engineering (8 papers), Pluripotent Stem Cells Research (7 papers), Cardiac Fibrosis and Remodeling (7 papers), Congenital Heart Disease Studies (3 papers), Signaling Pathways in Disease (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Developmental Neuroscience (148 citations), Molecular Biology (1.4k citations), Cardiology and Cardiovascular Medicine (307 citations), Genetics (117 citations) and Cellular and Molecular Neuroscience (185 citations). Michaela Patterson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include William E. Lowry, Henry M. Sucov, Kathrin Plath, Amander T. Clark, Peiheng Gan, Anne Lindgren, Hua Min Shen, Yukiko Yamaguchi, Ben Van Handel and Hanna K. A. Mikkola. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, PLoS Genetics, American Journal of Physiology-Heart and Circulatory Physiology, Proceedings of the National Academy of Sciences and Journal of Virology.

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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