Mia Rochelle Lowden

8 papers and 204 indexed citations i.

About

Mia Rochelle Lowden is a scholar working on Aging, Molecular Biology and Physiology. According to data from OpenAlex, Mia Rochelle Lowden has authored 8 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aging, 5 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Mia Rochelle Lowden’s work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Telomeres, Telomerase, and Senescence (5 papers) and CRISPR and Genetic Engineering (3 papers). Mia Rochelle Lowden is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (7 papers), Telomeres, Telomerase, and Senescence (5 papers) and CRISPR and Genetic Engineering (3 papers). Mia Rochelle Lowden collaborates with scholars based in United States, United Kingdom and Canada. Mia Rochelle Lowden's co-authors include Shawn Ahmed, Bettina Meier, Jonathan Hodgkin, Yan Liu, Anton Gartner, Donald G. Moerman, Stéphane Flibotte, Julie Hall, Kyle Wang and James H. Thomas and has published in prestigious journals such as Science, Genetics and PLoS Genetics.

In The Last Decade

Co-authorship network of co-authors of Mia Rochelle Lowden i

Fields of papers citing papers by Mia Rochelle Lowden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mia Rochelle Lowden. 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 Mia Rochelle Lowden. The network helps show where Mia Rochelle Lowden may publish in the future.

Countries citing papers authored by Mia Rochelle Lowden

Since Specialization
Citations

This map shows the geographic impact of Mia Rochelle Lowden'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 Mia Rochelle Lowden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mia Rochelle Lowden 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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