Laura De la Vega

11 papers and 505 indexed citations i.

About

Laura De la Vega is a scholar working on Biomedical Engineering, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Laura De la Vega has authored 11 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 6 papers in Molecular Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Laura De la Vega’s work include 3D Printing in Biomedical Research (7 papers), Pluripotent Stem Cells Research (6 papers) and Neuroscience and Neural Engineering (4 papers). Laura De la Vega is often cited by papers focused on 3D Printing in Biomedical Research (7 papers), Pluripotent Stem Cells Research (6 papers) and Neuroscience and Neural Engineering (4 papers). Laura De la Vega collaborates with scholars based in Canada, Brazil and United States. Laura De la Vega's co-authors include Stephanie M. Willerth, Laila Abelseth, Ruchi Sharma, Simon Beyer, Christopher H. T. Lee, Samuel Wadsworth, Meitham Amereh, Chris Lee, Nishat Tasnim and Matthew Alonzo and has published in prestigious journals such as International Journal of Molecular Sciences, Materials Science and Engineering A and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Laura De la Vega i

Fields of papers citing papers by Laura De la Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura De la Vega. 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 Laura De la Vega. The network helps show where Laura De la Vega may publish in the future.

Countries citing papers authored by Laura De la Vega

Since Specialization
Citations

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

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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