Renee N. Rivas

1.1k citations
2 papers · 582 indexed · 1 hit paper · h-index 2
Topics
CRISPR and Genetic Engineering (1 paper)Pluripotent Stem Cells Research (1 paper)Cardiomyopathy and Myosin Studies (1 paper)

In The Last Decade

Renee N. Rivas

2 papers receiving 577 citations

Hit Papers

Contractility of single cardiomyocytes differentiated fro...20152026201820222015100200300

Peers

Renee N. Rivas
Comparison fields: 5 of 68
  • Molecular Biology 288
  • Biomedical Engineering 182
  • Surgery 154
  • Aging 135
  • Cellular and Molecular Neuroscience 133
Replace Susann Lehmann with:
Susann Lehmann United Kingdom
Jill J. Weyers United States
Deborah Prè United States
Alessandro Pristerà United Kingdom
Byounggook Cho South Korea
Vicente Valenzuela Chile
Romina Aron Badin France
Zhengshan Liu China
Anna L. Gray United Kingdom
Kwong‐Man Ng Hong Kong
Renee N. Rivas relative to Susann Lehmann United Kingdom Susann Lehmann's profile →
Citations per field
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Susann Lehmann · 1×
Citations per year

Countries citing papers authored by Renee N. Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Renee N. Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renee N. Rivas. 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 Renee N. Rivas. The network helps show where Renee N. Rivas may publish in the future.

Co-authorship network of co-authors of Renee N. Rivas

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

All Works

2 of 2 papers shown
#WorkIndexed citations
1
Contractility of single cardiomyocytes differentiated from pluripotent stem cells depends on physiological shape and substrate stiffnessbreakdown →
352
2 230

About Renee N. Rivas

Renee N. Rivas is a scholar working on Neurology, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 2 papers that have together received 582 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (1 paper), Pluripotent Stem Cells Research (1 paper) and Cardiomyopathy and Myosin Studies (1 paper). The work is most often cited by research in Aging (135 citations), Cellular and Molecular Neuroscience (133 citations) and Cell Biology (110 citations). Renee N. Rivas has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Yen-Sin Ang, Tamer Mohamed, Ji‐Dong Fu, Beth L. Pruitt, Deepak Srivastava, Alexandre J. S. Ribeiro, Shusei Hamamichi, Songsong Cao, Kim A. Caldwell and Guy A. Caldwell. Their work appears in journals such as Proceedings of the National Academy of Sciences.

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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