Kimberly Van Auken

15 papers and 443 indexed citations i.

About

Kimberly Van Auken is a scholar working on Molecular Biology, Artificial Intelligence and Aging. According to data from OpenAlex, Kimberly Van Auken has authored 15 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Aging. Recurrent topics in Kimberly Van Auken’s work include Biomedical Text Mining and Ontologies (11 papers), Bioinformatics and Genomic Networks (10 papers) and Gene expression and cancer classification (3 papers). Kimberly Van Auken is often cited by papers focused on Biomedical Text Mining and Ontologies (11 papers), Bioinformatics and Genomic Networks (10 papers) and Gene expression and cancer classification (3 papers). Kimberly Van Auken collaborates with scholars based in United States, United Kingdom and Canada. Kimberly Van Auken's co-authors include Lois G. Edgar, William B. Wood, Daniel C. Weaver, Paul W. Sternberg, Hans‐Michael Müller, Juancarlos Chan, Seth Carbon, David P. Hill, Chris Mungall and Meera V. Sundaram and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Kimberly Van Auken i

Fields of papers citing papers by Kimberly Van Auken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly Van Auken. 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 Kimberly Van Auken. The network helps show where Kimberly Van Auken may publish in the future.

Countries citing papers authored by Kimberly Van Auken

Since Specialization
Citations

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