Loretta Auvil

30 papers and 557 indexed citations i.

About

Loretta Auvil is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Loretta Auvil has authored 30 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Artificial Intelligence and 5 papers in Genetics. Recurrent topics in Loretta Auvil’s work include Gut microbiota and health (5 papers), Advanced Text Analysis Techniques (4 papers) and Nutritional Studies and Diet (4 papers). Loretta Auvil is often cited by papers focused on Gut microbiota and health (5 papers), Advanced Text Analysis Techniques (4 papers) and Nutritional Studies and Diet (4 papers). Loretta Auvil collaborates with scholars based in United States, United Kingdom and South Korea. Loretta Auvil's co-authors include Denis M. Larkin, Michael Welge, Harris A. Lewin, Ravikiran Donthu, Boris Capitanu, Jian Ma, Jaebum Kim, Marta Farré, Colleen Bushell and Yongfen Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Loretta Auvil i

Fields of papers citing papers by Loretta Auvil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Loretta Auvil

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025