Claudia Chavarria

494 total citations
8 papers, 294 citations indexed

About

Claudia Chavarria is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Claudia Chavarria has authored 8 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Oncology. Recurrent topics in Claudia Chavarria's work include Genetic Associations and Epidemiology (3 papers), Pluripotent Stem Cells Research (3 papers) and CRISPR and Genetic Engineering (3 papers). Claudia Chavarria is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Pluripotent Stem Cells Research (3 papers) and CRISPR and Genetic Engineering (3 papers). Claudia Chavarria collaborates with scholars based in United States, Switzerland and Spain. Claudia Chavarria's co-authors include Yoav Gilad, Bryan J. Pavlovic, Kevin Bullaughey, Xiang Zhou, Graham Coop, Lauren E. Blake, Amy Mitrano, Julien Roux, Irene Gallego Romero and Inbar Friedrich Ben‐Nun and has published in prestigious journals such as Scientific Reports, Human Molecular Genetics and Genome biology.

In The Last Decade

Claudia Chavarria

8 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Claudia Chavarria United States	6	215	65	26	26	24	8	294
Antonis Tatarakis United States	6	264 1.2×	70 1.1×	14 0.5×	47 1.8×	28 1.2×	8	332
Xiechao He China	9	315 1.5×	73 1.1×	20 0.8×	18 0.7×	38 1.6×	13	401
Candice Byers United States	8	217 1.0×	50 0.8×	13 0.5×	15 0.6×	18 0.8×	8	278
Jorge Y. Martínez-Márquez United States	6	355 1.7×	65 1.0×	13 0.5×	17 0.7×	29 1.2×	8	415
Cornelia Donow Germany	13	345 1.6×	90 1.4×	15 0.6×	33 1.3×	12 0.5×	18	403
Wouter de Laat Netherlands	8	350 1.6×	85 1.3×	26 1.0×	42 1.6×	57 2.4×	10	429
Omer Habib South Korea	9	247 1.1×	65 1.0×	18 0.7×	11 0.4×	20 0.8×	16	290
Jason E. Miller United States	11	289 1.3×	64 1.0×	17 0.7×	34 1.3×	14 0.6×	26	379
Masanori Imamura Japan	11	365 1.7×	134 2.1×	13 0.5×	32 1.2×	64 2.7×	27	453

Countries citing papers authored by Claudia Chavarria

Since Specialization

Citations

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

Fields of papers citing papers by Claudia Chavarria

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Chavarria

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

All Works

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8 of 8 papers shown

Pavlovic, Bryan J., Lauren E. Blake, Julien Roux, Claudia Chavarria, & Yoav Gilad. (2018). A Comparative Assessment of Human and Chimpanzee iPSC-derived Cardiomyocytes with Primary Heart Tissues. Scientific Reports. 8(1). 15312–15312. 39 indexed citations

Blake, Lauren E., Samantha M. Thomas, John Blischak, et al.. (2018). A comparative study of endoderm differentiation in humans and chimpanzees. Genome biology. 19(1). 162–162. 21 indexed citations

Thomas, Samantha M., John Blischak, Claudia Chavarria, et al.. (2018). Source code for "A comparative study of endoderm differentiation in humans and chimpanzees". Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Cusanovich, Darren A., Minal Çalışkan, Christine Billstrand, et al.. (2016). Integrated analyses of gene expression and genetic association studies in a founder population. Human Molecular Genetics. 25(10). 2104–2112. 13 indexed citations

Chavarria, Claudia, et al.. (2016). IL-8 Regulates Epithelial-Mesenchymal Transition through pERK1/2 in AGS Cells. 1(1). 1 indexed citations

Romero, Irene Gallego, Bryan J. Pavlovic, Irene Hernando-Herraez, et al.. (2015). A panel of induced pluripotent stem cells from chimpanzees: a resource for comparative functional genomics. eLife. 4. e07103–e07103. 144 indexed citations

Cusanovich, Darren A., Christine Billstrand, Xiang Zhou, et al.. (2012). The combination of a genome-wide association study of lymphocyte count and analysis of gene expression data reveals novel asthma candidate genes. Human Molecular Genetics. 21(9). 2111–2123. 31 indexed citations

Bullaughey, Kevin, Claudia Chavarria, Graham Coop, & Yoav Gilad. (2009). Expression quantitative trait loci detected in cell lines are often present in primary tissues. Human Molecular Genetics. 18(22). 4296–4303. 44 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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