Michael Smoot

11 papers and 8.7k indexed citations i.

About

Michael Smoot is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Michael Smoot has authored 11 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Plant Science. Recurrent topics in Michael Smoot’s work include Bioinformatics and Genomic Networks (5 papers), Genomics and Phylogenetic Studies (5 papers) and Gene expression and cancer classification (3 papers). Michael Smoot is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Genomics and Phylogenetic Studies (5 papers) and Gene expression and cancer classification (3 papers). Michael Smoot collaborates with scholars based in United States, Canada and Germany. Michael Smoot's co-authors include Trey Ideker, Keiichiro Ono, Pengliang Wang, Arthur L. Delcher, Stefan Kurtz, Martin Shumway, Adam M. Phillippy, Steven L. Salzberg, Corina Antonescu and Gary D. Bader and has published in prestigious journals such as Bioinformatics, PLoS ONE and Nature Methods.

In The Last Decade

Co-authorship network of co-authors of Michael Smoot i

Fields of papers citing papers by Michael Smoot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Smoot

Since Specialization
Citations

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