Michaela Patterson

2.3k citations
34 papers · 1.8k · 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

    • Congenital heart defects research 16
    • CRISPR and Genetic Engineering 8
    • Pluripotent Stem Cells Research 7
    • Signaling Pathways in Disease 3
    • RNA modifications and cancer 3
    • Cardiomyopathy and Myosin Studies 9
    • Cardiac Fibrosis and Remodeling 7

Michaela Patterson

32 papers receiving 1.7k citations

Peers

Michaela Patterson
Comparison fields: 5 of 81
  • Developmental Neuroscience 149
  • Molecular Biology 1.4k
  • Cardiology and Cardiovascular Medicine 310
  • Genetics 113
  • Cellular and Molecular Neuroscience 182
Replace Rajan Jain with:
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Michaela Patterson relative to Rajan Jain United States Rajan Jain's profile →
Citations per field
00.5×1.7×
Rajan Jain · 1×
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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009300
2 2017241
3 2010211
4 2015124
5 2011112
6 2007101
7 201482
8 201267
9 200861
10 201961
11 198957
12 201352
13 201137
14 202037
15 201234
16 201926
17 202225
18 202323
19 201916
20 202116

About Michaela Patterson

Michaela Patterson is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Epidemiology and Genetics, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Congenital heart defects research (16 papers), Cardiomyopathy and Myosin Studies (9 papers), CRISPR and Genetic Engineering (8 papers), Cardiac Fibrosis and Remodeling (7 papers), Pluripotent Stem Cells Research (7 papers), Signaling Pathways in Disease (3 papers), Tissue Engineering and Regenerative Medicine (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Developmental Neuroscience (149 citations), Molecular Biology (1.4k citations), Cardiology and Cardiovascular Medicine (310 citations), Genetics (113 citations) and Cellular and Molecular Neuroscience (182 citations). Michaela Patterson has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include William E. Lowry, Henry M. Sucov, Amander T. Clark, Peiheng Gan, Kathrin Plath, Anne Lindgren, Hua Shen, Yukiko Yamaguchi, Ben Van Handel and Hanna Mikkola. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, PLoS Genetics, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Virology and Current topics in developmental biology.

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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