Christina Boucher

1.5k total citations
64 papers, 617 citations indexed

About

Christina Boucher is a scholar working on Molecular Biology, Artificial Intelligence and Molecular Medicine. According to data from OpenAlex, Christina Boucher has authored 64 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 25 papers in Artificial Intelligence and 13 papers in Molecular Medicine. Recurrent topics in Christina Boucher's work include Genomics and Phylogenetic Studies (26 papers), Algorithms and Data Compression (23 papers) and Antibiotic Resistance in Bacteria (13 papers). Christina Boucher is often cited by papers focused on Genomics and Phylogenetic Studies (26 papers), Algorithms and Data Compression (23 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, Noelle Noyes, Travis Gagie, Paul S. Morley, Ben Langmead, Enrique Doster, Marco Antônio Oliva, Massimiliano Rossi, Simone Marini and Simon J. Puglisi and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Christina Boucher

58 papers receiving 607 citations

Peers

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).

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.

Co-authorship network of co-authors of Christina Boucher

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Boucher. A scholar is included among the top collaborators of Christina Boucher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christina Boucher. Christina Boucher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Accurate short-read alignment throughr-index-based pangenome indexing 2025 ·Genome Research ·(unknown), Massimiliano Rossi, (unknown), Marco Antônio Oliva, Erik Garrison, Ben Langmead, Christina Boucher	2
2	Comparative Evaluation of Clinical Large Language Models and Machine Learning to Predict Antimicrobial Resistance in Hospital-Onset Sepsis 2025 ·Lecture notes in computer science ·(unknown), (unknown), Jiang Bian, Christina Boucher, Yonghui Wu, Mattia Prosperi	1
3	Enhanced barrier precautions to prevent transmission of Staphylococcus aureus and Carbapenem-resistant organisms in nursing home chronic ventilator units 2025 ·Infection Control and Hospital Epidemiology ·Lyndsay M. O’Hara, Michelle Newman, Alison D. Lydecker, Gwen Robinson, (unknown), Christina Boucher, (unknown), Erin K. Molloy, (unknown), Ayşe P. Gürses, Heather Jones, Kara Jacobs Slifka, Mary‐Claire Roghmann	0
4	Robust 16S rRNA classification based on a compressed LCA index 2025 ·Genome Research ·(unknown), Christina Boucher, Ben Langmead	0
5	A comparative study of antibiotic resistance patterns in Mycobacterium tuberculosis 2025 ·Scientific Reports ·(unknown), (unknown), Mattia Prosperi, Christina Boucher	9
6	ONeSAMP 3.0: estimation of effective population size via single nucleotide polymorphism data from one population 2024 ·G3 Genes Genomes Genetics ·(unknown), (unknown), (unknown), (unknown), (unknown), Marco Antônio Oliva, (unknown), W. Chris Funk, David A. Tallmon, Christina Boucher	4
7	Pfp-fm: an accelerated FM-index 2024 ·Algorithms for Molecular Biology ·(unknown), Marco Antônio Oliva, (unknown), Hideo Bannai, Christina Boucher, Travis Gagie	1
8	Machine learning-enhanced assessment of potential probiotics from healthy calves for the treatment of neonatal calf diarrhea 2024 ·Frontiers in Microbiology ·(unknown), (unknown), Peixin Fan, (unknown), Sun Ae Kim, Joseph Driver, Klibs N. Galvão, Christina Boucher, Kwangcheol Casey Jeong	3
9	The TELCoMB Protocol for High‐Sensitivity Detection of ARG‐MGE Colocalizations in Complex Microbial Communities 2024 ·Current Protocols ·(unknown), (unknown), (unknown), Marco Antônio Oliva, Noelle Noyes, Christina Boucher	1
10	μ- PBWT: a lightweight r-indexing of the PBWT for storing and querying UK Biobank data 2023 ·Bioinformatics ·(unknown), Massimiliano Rossi, Simone Rubinacci, Travis Gagie, (unknown), Christina Boucher, Paola Bonizzoni	0
11	Finding Maximal Exact Matches Using the r-Index 2022 ·Journal of Computational Biology ·Massimiliano Rossi, Marco Antônio Oliva, Paola Bonizzoni, Ben Langmead, Travis Gagie, Christina Boucher	1
12	MONI: A Pangenomic Index for Finding Maximal Exact Matches 2022 ·Journal of Computational Biology ·Massimiliano Rossi, Marco Antônio Oliva, Ben Langmead, Travis Gagie, Christina Boucher	27
13	Development of a Prediction Model for Antibiotic-Resistant Urinary Tract Infections Using Integrated Electronic Health Records from Multiple Clinics in North-Central Florida 2022 ·Infectious Diseases and Therapy ·Shannan N. Rich, (unknown), Jiang Bian, Christina Boucher, Kartikeya Cherabuddi, J. Glenn Morris, Mattia Prosperi	18
14	PHONI: Streamed Matching Statistics with Multi-Genome References 2021 ·CINECA IRIS Institutial research information system (University of Pisa) ·Christina Boucher, Travis Gagie, I Tomohiro, (unknown), Ben Langmead, Giovanni Manzini, Gonzalo Navarro, (unknown), Massimiliano Rossi	6
15	Computing the Original eBWT Faster, Simpler, and with Less Memory 2021 ·Nova Science Publishers (Nova Science Publishers, Inc.) ·Christina Boucher, (unknown), Zsuzsanna Lipták, Massimiliano Rossi, Marinella Sciortino	8
16	Data structures based on k -mers for querying large collections of sequencing data sets 2020 ·Genome Research ·Camille Marchet, Christina Boucher, Simon J. Puglisi, Paul Medvedev, Mikaël Salson, Rayan Chikhi	50
17	Matching Reads to Many Genomes with the r -Index 2020 ·Journal of Computational Biology ·(unknown), Alan Kuhnle, Christina Boucher, Travis Gagie, Ben Langmead, Giovanni Manzini	5
18	Hierarchical Hidden Markov models enable accurate and diverse detection of antimicrobial resistance sequences 2019 ·Communications Biology ·Steven M. Lakin, Alan Kuhnle, (unknown), Noelle Noyes, Chris Dean, Martin D. Muggli, (unknown), Zaid Abdo, Mattia Prosperi, K. E. Belk, Paul S. Morley, Christina Boucher	30
19	Prefix-free parsing for building big BWTs 2019 ·CINECA IRIS Institutial research information system (University of Pisa) ·Christina Boucher, Travis Gagie, Alan Kuhnle, Ben Langmead, Giovanni Manzini, (unknown)	33
20	Practical dynamic de Bruijn graphs 2018 ·Bioinformatics ·(unknown), Alan Kuhnle, Christina Boucher, Rayan Chikhi, Travis Gagie	10

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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