Vinci Au

12 papers and 179 indexed citations i.

About

Vinci Au is a scholar working on Molecular Biology, Aging and Genetics. According to data from OpenAlex, Vinci Au has authored 12 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Aging and 5 papers in Genetics. Recurrent topics in Vinci Au’s work include Genetics, Aging, and Longevity in Model Organisms (10 papers), CRISPR and Genetic Engineering (6 papers) and Evolution and Genetic Dynamics (4 papers). Vinci Au is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (10 papers), CRISPR and Genetic Engineering (6 papers) and Evolution and Genetic Dynamics (4 papers). Vinci Au collaborates with scholars based in Canada, United States and Germany. Vinci Au's co-authors include Donald G. Moerman, Stéphane Flibotte, Mark L. Edgley, Federico I. Rosell, Lisa Fernando, Su Wang, Harald Hutter, Ann E. Rougvie, Catharine H. Rankin and Troy A. McDiarmid and has published in prestigious journals such as PLoS ONE, Genetics and PLoS Genetics.

In The Last Decade

Co-authorship network of co-authors of Vinci Au i

Fields of papers citing papers by Vinci Au

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vinci Au

Since Specialization
Citations

This map shows the geographic impact of Vinci Au'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 Vinci Au with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinci Au 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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2025