Emily Meredith

1.3k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Emily Meredith is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Emily Meredith has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Emily Meredith's work include Muscle Physiology and Disorders (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Viral Infections and Immunology Research (1 paper). Emily Meredith is often cited by papers focused on Muscle Physiology and Disorders (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Viral Infections and Immunology Research (1 paper). Emily Meredith collaborates with scholars based in United States, Brazil and Bulgaria. Emily Meredith's co-authors include Emily N. Gallichotte, Colm Morrissey, Qing Kang, Heather H. Cheng, Era L. Pogosova‐Agadjanyan, Sean M. Hughes, Muneesh Tewari, Ingrid K. Ruf, Jason D. Arroyo and John R. Chevillet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Cell Reports.

In The Last Decade

Emily Meredith

8 papers receiving 1.1k citations

Hit Papers

Quantitative and stoichiometric analysis of the microRNA ... 2014 2026 2018 2022 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily Meredith United States 7 965 648 103 86 65 8 1.1k
Jeffrey Schafer United States 6 1.0k 1.1× 928 1.4× 43 0.4× 109 1.3× 25 0.4× 9 1.3k
Travis J. Antes United States 16 1.1k 1.1× 628 1.0× 63 0.6× 64 0.7× 102 1.6× 31 1.2k
Dinuka Ariyaratne Australia 2 1.0k 1.1× 597 0.9× 32 0.3× 156 1.8× 93 1.4× 6 1.2k
Scott Ferguson United States 10 887 0.9× 483 0.7× 28 0.3× 108 1.3× 168 2.6× 12 1.0k
Loriana Vitillo United Kingdom 7 861 0.9× 602 0.9× 19 0.2× 93 1.1× 107 1.6× 8 988
Maarten P. Bebelman Netherlands 10 887 0.9× 509 0.8× 24 0.2× 162 1.9× 111 1.7× 16 1.0k
Roberta Palmulli France 9 855 0.9× 398 0.6× 27 0.3× 134 1.6× 112 1.7× 13 987
Victor Ma China 9 889 0.9× 491 0.8× 16 0.2× 101 1.2× 166 2.6× 16 1.0k
Gábor Petővári Hungary 12 446 0.5× 247 0.4× 28 0.3× 68 0.8× 89 1.4× 29 590
Tim Davies United Kingdom 4 922 1.0× 309 0.5× 18 0.2× 76 0.9× 95 1.5× 5 1.0k

Countries citing papers authored by Emily Meredith

Since Specialization
Citations

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

Fields of papers citing papers by Emily Meredith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Meredith

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

All Works

8 of 8 papers shown
1.
Coon, Brian G., Raja Chakraborty, Pablo Fernández‐Tussy, et al.. (2024). Endothelial γ-protocadherins inhibit KLF2 and KLF4 to promote atherosclerosis. Nature Cardiovascular Research. 3(9). 1035–1048. 7 indexed citations
2.
Meredith, Emily & Martin A. Schwartz. (2024). Integrins as Drug Targets in Vascular and Related Diseases. PubMed. 3(2). 100010–100010. 1 indexed citations
3.
Thakar, Ketan, Shahnaz Ghahremani, Rachel Cohn, et al.. (2021). Actinin BioID reveals sarcomere crosstalk with oxidative metabolism through interactions with IGF2BP2. Cell Reports. 36(6). 109512–109512. 14 indexed citations
4.
VanOudenhove, Jennifer, Yusheng Chen, Rachel Cohn, et al.. (2021). Sarcomere function activates a p53-dependent DNA damage response that promotes polyploidization and limits in vivo cell engraftment. Cell Reports. 35(5). 109088–109088. 15 indexed citations
5.
Meredith, Emily, et al.. (2020). Coronavirus Receptors as Immune Modulators. The Journal of Immunology. 206(5). 923–929. 18 indexed citations
6.
Cohn, Rachel, Ketan Thakar, Emily Meredith, et al.. (2018). A Contraction Stress Model of Hypertrophic Cardiomyopathy due to Sarcomere Mutations. Stem Cell Reports. 12(1). 71–83. 80 indexed citations
7.
Meredith, Emily, et al.. (2016). An RNA matchmaker protein regulates the activity of the long noncoding RNA HOTAIR. RNA. 22(7). 995–1010. 49 indexed citations
8.
Chevillet, John R., Qing Kang, Ingrid K. Ruf, et al.. (2014). Quantitative and stoichiometric analysis of the microRNA content of exosomes. Proceedings of the National Academy of Sciences. 111(41). 14888–14893. 883 indexed citations breakdown →

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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