B. Jesse Shapiro

7.3k total citations
81 papers, 2.5k citations indexed

About

B. Jesse Shapiro is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, B. Jesse Shapiro has authored 81 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 28 papers in Ecology and 21 papers in Genetics. Recurrent topics in B. Jesse Shapiro's work include Microbial Community Ecology and Physiology (23 papers), Genomics and Phylogenetic Studies (18 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (15 papers). B. Jesse Shapiro is often cited by papers focused on Microbial Community Ecology and Physiology (23 papers), Genomics and Phylogenetic Studies (18 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (15 papers). B. Jesse Shapiro collaborates with scholars based in Canada, United States and Bangladesh. B. Jesse Shapiro's co-authors include Martin F. Polz, Eric J. Alm, Jonathan Friedman, Peter E. Chen, Sarah P. Preheim, Gitta Szabó, Nicolas Tromas, Otto X. Cordero, Sonia Timberlake and Yves Terrat and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

B. Jesse Shapiro

76 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
B. Jesse Shapiro Canada 30 1.3k 926 461 303 285 81 2.5k
Sarah P. Preheim United States 22 1.3k 1.1× 1.1k 1.2× 326 0.7× 155 0.5× 341 1.2× 39 2.4k
Pierre Peyret France 34 1.9k 1.5× 961 1.0× 298 0.6× 644 2.1× 286 1.0× 91 3.9k
Guillaume Jospin United States 16 1.3k 1.1× 1.1k 1.2× 151 0.3× 308 1.0× 250 0.9× 61 2.5k
Fares Z. Najar United States 26 1.8k 1.5× 973 1.1× 458 1.0× 442 1.5× 91 0.3× 57 3.9k
Chien‐Chi Lo United States 22 1.4k 1.1× 848 0.9× 250 0.5× 236 0.8× 95 0.3× 61 2.7k
Lionel Guy Sweden 20 1.8k 1.4× 1.0k 1.1× 445 1.0× 345 1.1× 243 0.9× 46 2.7k
Han Ming Gan Malaysia 32 2.1k 1.7× 1.5k 1.6× 469 1.0× 461 1.5× 135 0.5× 235 4.0k
Paul R. Bowser United States 36 766 0.6× 841 0.9× 484 1.0× 216 0.7× 178 0.6× 179 4.3k
Otto X. Cordero United States 28 2.4k 1.9× 2.0k 2.2× 793 1.7× 404 1.3× 361 1.3× 57 4.4k
Jessica Labonté United States 18 1.3k 1.0× 1.1k 1.2× 281 0.6× 330 1.1× 162 0.6× 34 2.0k

Countries citing papers authored by B. Jesse Shapiro

Since Specialization
Citations

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

Fields of papers citing papers by B. Jesse Shapiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. Jesse Shapiro. 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 B. Jesse Shapiro. The network helps show where B. Jesse Shapiro may publish in the future.

Co-authorship network of co-authors of B. Jesse Shapiro

This figure shows the co-authorship network connecting the top 25 collaborators of B. Jesse Shapiro. A scholar is included among the top collaborators of B. Jesse Shapiro 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 B. Jesse Shapiro. B. Jesse Shapiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sayeed, Md. Abu, Aline Cuénod, Kamrul Islam, et al.. (2024). Phage predation, disease severity, and pathogen genetic diversity in cholera patients. Science. 384(6693). eadj3166–eadj3166. 9 indexed citations
2.
Sagan, Selena M., et al.. (2024). Within-host genetic diversity of SARS-CoV-2 across animal species. Virus Evolution. 11(1). veae117–veae117. 1 indexed citations
3.
Maldonado, Juan, Hana Trigui, Yves Terrat, et al.. (2024). The short-term effect of nitrogen on freshwater cyanobacteria and cyanotoxins. Frontiers in Water. 6. 1 indexed citations
4.
Lypaczewski, Patrick, Fahima Chowdhury, Ashraful Islam Khan, et al.. (2024). Vibrio cholerae O1 experiences mild bottlenecks through the gastrointestinal tract in some but not all cholera patients. Microbiology Spectrum. 12(8). e0078524–e0078524. 1 indexed citations
5.
6.
Leducq, Jean‐Baptiste, Geneviève Bourret, N. Cecilia Martínez-Gómez, et al.. (2022). Comprehensive Phylogenomics of Methylobacterium Reveals Four Evolutionary Distinct Groups and Underappreciated Phyllosphere Diversity. Genome Biology and Evolution. 14(8). 17 indexed citations
7.
Leducq, Jean‐Baptiste, Geneviève Bourret, James A. Foster, et al.. (2022). Fine-Scale Adaptations to Environmental Variation and Growth Strategies Drive Phyllosphere Methylobacterium Diversity. mBio. 13(1). e0317521–e0317521. 9 indexed citations
8.
Hébert, Marie‐Pier, Vincent Fugère, Yves Terrat, et al.. (2022). A Glyphosate-Based Herbicide Cross-Selects for Antibiotic Resistance Genes in Bacterioplankton Communities. mSystems. 7(2). e0148221–e0148221. 23 indexed citations
9.
Levade, Inès, Ashraful Islam Khan, Fahima Chowdhury, et al.. (2021). A Combination of Metagenomic and Cultivation Approaches Reveals Hypermutator Phenotypes within Vibrio cholerae-Infected Patients. mSystems. 6(4). e0088921–e0088921. 7 indexed citations
10.
11.
Fugère, Vincent, Marie‐Pier Hébert, Charles C.Y. Xu, et al.. (2021). Resistance, resilience, and functional redundancy of freshwater bacterioplankton communities facing a gradient of agricultural stressors in a mesocosm experiment. Molecular Ecology. 30(19). 4771–4788. 14 indexed citations
12.
Trigui, Hana, Juan Maldonado, Sarah Dorner, et al.. (2021). Can Cyanobacterial Diversity in the Source Predict the Diversity in Sludge and the Risk of Toxin Release in a Drinking Water Treatment Plant?. Toxins. 13(1). 25–25. 20 indexed citations
13.
Levade, Inès, Firas S. Midani, Fahima Chowdhury, et al.. (2020). Predicting Vibrio cholerae Infection and Disease Severity Using Metagenomics in a Prospective Cohort Study. The Journal of Infectious Diseases. 223(2). 342–351. 22 indexed citations
14.
Shapiro, B. Jesse, et al.. (2020). Benchmarking bacterial genome-wide association study methods using simulated genomes and phenotypes. Microbial Genomics. 6(3). 49 indexed citations
15.
Terrat, Yves, Lauge Farnaes, John S. Bradley, Nicolas Tromas, & B. Jesse Shapiro. (2020). Two cases of type-a Haemophilus influenzae meningitis within the same week in the same hospital are phylogenetically unrelated but recently exchanged capsule genes. Microbial Genomics. 6(4). 2 indexed citations
16.
Fugère, Vincent, Marie‐Pier Hébert, Charles C.Y. Xu, et al.. (2020). Community rescue in experimental phytoplankton communities facing severe herbicide pollution. Nature Ecology & Evolution. 4(4). 578–588. 45 indexed citations
17.
Pérez-Carrascal, Olga M., Yves Terrat, Alessandra Giani, et al.. (2019). Coherence of Microcystis species revealed through population genomics. The ISME Journal. 13(12). 2887–2900. 55 indexed citations
18.
Levade, Inès, Yves Terrat, Jean‐Baptiste Leducq, et al.. (2017). Vibrio cholerae genomic diversity within and between patients. Microbial Genomics. 3(12). 32 indexed citations
19.
Tromas, Nicolas, Nathalie Fortin, Larbi Bedrani, et al.. (2017). Characterising and predicting cyanobacterial blooms in an 8-year amplicon sequencing time course. The ISME Journal. 11(8). 1746–1763. 89 indexed citations
20.
Shapiro, B. Jesse, Jonathan Friedman, Otto X. Cordero, et al.. (2012). Population Genomics of Early Events in the Ecological Differentiation of Bacteria. Science. 336(6077). 48–51. 365 indexed citations

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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