Christina Boucher

53 papers and 480 indexed citations i.

About

Christina Boucher is a scholar working on Molecular Biology, Artificial Intelligence and Molecular Medicine. According to data from OpenAlex, Christina Boucher has authored 53 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 20 papers in Artificial Intelligence and 13 papers in Molecular Medicine. Recurrent topics in Christina Boucher’s work include Genomics and Phylogenetic Studies (23 papers), Algorithms and Data Compression (20 papers) and Antibiotic Resistance in Bacteria (13 papers). Christina Boucher is often cited by papers focused on Genomics and Phylogenetic Studies (23 papers), Algorithms and Data Compression (20 papers) and Antibiotic Resistance in Bacteria (13 papers). Christina Boucher collaborates with scholars based in United States, Canada and Italy. Christina Boucher's co-authors include Mattia Prosperi, Travis Gagie, Noelle Noyes, Ben Langmead, Paul S. Morley, Marco Antônio Oliva, Alan Kuhnle, Enrique Doster, Rayan Chikhi and K. E. Belk and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Christina Boucher i

Fields of papers citing papers by Christina Boucher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christina Boucher

Since Specialization
Citations

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