Michael A. DeJesus

3.4k total citations · 2 hit papers
26 papers, 2.1k citations indexed

About

Michael A. DeJesus is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Michael A. DeJesus has authored 26 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Epidemiology and 11 papers in Infectious Diseases. Recurrent topics in Michael A. DeJesus's work include Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (11 papers) and Bacteriophages and microbial interactions (9 papers). Michael A. DeJesus is often cited by papers focused on Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (11 papers) and Bacteriophages and microbial interactions (9 papers). Michael A. DeJesus collaborates with scholars based in United States, United Kingdom and Germany. Michael A. DeJesus's co-authors include Thomas R. Ioerger, Christopher M. Sassetti, Brian J. Akerley, Jeffrey D. Gawronski, Dirk Schnappinger, Sabine Ehrt, Jarukit E. Long, Eric J. Rubin, Sae Woong Park and Sarah M. Fortune and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael A. DeJesus

26 papers receiving 2.1k citations

Hit Papers

High-Resolution Phenotypic Profiling Defines Genes Essent... 2011 2026 2016 2021 2011 2017 250 500 750

Peers

Michael A. DeJesus
Elaine O. Davis United Kingdom
Jeffrey D. Gawronski United States
Christine L. Cosma United States
Yasu S. Morita United States
Paras Jain United States
J. Christian Pérez United States
Jun-Rong Wei United States
Elaine O. Davis United Kingdom
Michael A. DeJesus
Citations per year, relative to Michael A. DeJesus Michael A. DeJesus (= 1×) peers Elaine O. Davis

Countries citing papers authored by Michael A. DeJesus

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. DeJesus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael A. DeJesus

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. DeJesus. A scholar is included among the top collaborators of Michael A. DeJesus 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 Michael A. DeJesus. Michael A. DeJesus 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.
Mishra, Saurabh, Xiaoyi Hu, Adrián Jinich, et al.. (2025). Candidate transmission survival genome of Mycobacterium tuberculosis. Proceedings of the National Academy of Sciences. 122(10). e2425981122–e2425981122. 2 indexed citations
2.
Poulton, Nicholas C., Michael A. DeJesus, Mariko Kanai, et al.. (2024). Beyond antibiotic resistance: The whiB7 transcription factor coordinates an adaptive response to alanine starvation in mycobacteria. Cell chemical biology. 31(4). 669–682.e7. 7 indexed citations
3.
Bosch, Barbara, Michael A. DeJesus, Dirk Schnappinger, & Jeremy M. Rock. (2024). Weak links: Advancing target‐based drug discovery by identifying the most vulnerable targets. Annals of the New York Academy of Sciences. 1535(1). 10–19. 2 indexed citations
4.
DeJesus, Michael A., Nicholas C. Poulton, Barbara Bosch, et al.. (2024). Compensatory evolution in NusG improves fitness of drug-resistant M. tuberculosis. Nature. 628(8006). 186–194. 17 indexed citations
5.
DeJesus, Michael A., et al.. (2024). A dose-response model for statistical analysis of chemical genetic interactions in CRISPRi screens. PLoS Computational Biology. 20(5). e1011408–e1011408. 1 indexed citations
6.
Li, Shuqi, Nicholas C. Poulton, Michael A. DeJesus, et al.. (2022). CRISPRi chemical genetics and comparative genomics identify genes mediating drug potency in Mycobacterium tuberculosis. Nature Microbiology. 7(6). 766–779. 96 indexed citations
7.
Poulton, Nicholas C., et al.. (2022). Mutations in rv0678 Confer Low-Level Resistance to Benzothiazinone DprE1 Inhibitors in Mycobacterium tuberculosis. Antimicrobial Agents and Chemotherapy. 66(9). e0090422–e0090422. 15 indexed citations
8.
Bosch, Barbara, Michael A. DeJesus, Nicholas C. Poulton, et al.. (2021). Genome-wide gene expression tuning reveals diverse vulnerabilities of M. tuberculosis. Cell. 184(17). 4579–4592.e24. 155 indexed citations
9.
DeJesus, Michael A., Nadine Ruecker, Anisha Zaveri, et al.. (2021). An improved statistical method to identify chemical-genetic interactions by exploiting concentration-dependence. PLoS ONE. 16(10). e0257911–e0257911. 1 indexed citations
10.
DeJesus, Michael A., Anisha Zaveri, Clare M. Smith, et al.. (2019). Statistical analysis of variability in TnSeq data across conditions using zero-inflated negative binomial regression. BMC Bioinformatics. 20(1). 603–603. 14 indexed citations
11.
Trujillo, Carolina, Karl Syson, Hendrik Koliwer‐Brandl, et al.. (2016). Trehalose-6-Phosphate-Mediated Toxicity Determines Essentiality of OtsB2 in Mycobacterium tuberculosis In Vitro and in Mice. PLoS Pathogens. 12(12). e1006043–e1006043. 28 indexed citations
12.
DeJesus, Michael A. & Thomas R. Ioerger. (2016). Normalization of transposon-mutant library sequencing datasets to improve identification of conditionally essential genes. Journal of Bioinformatics and Computational Biology. 14(3). 1642004–1642004. 11 indexed citations
13.
Orsini, Caitlin A., Barry Setlow, Michael A. DeJesus, et al.. (2016). Behavioral and transcriptomic profiling of mice null forLphn3, a gene implicated inADHDand addiction. Molecular Genetics & Genomic Medicine. 4(3). 322–343. 38 indexed citations
14.
Loesch, Kimberly, Gamal Akabani, Michael A. Deveau, et al.. (2015). Functional Genomics Screening Utilizing Mutant Mouse Embryonic Stem Cells Identifies Novel Radiation-Response Genes. PLoS ONE. 10(4). e0120534–e0120534. 4 indexed citations
15.
DeJesus, Michael A. & Thomas R. Ioerger. (2015). Capturing Uncertainty by Modeling Local Transposon Insertion Frequencies Improves Discrimination of Essential Genes. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 12(1). 92–102. 5 indexed citations
16.
DeJesus, Michael A., et al.. (2015). TRANSIT - A Software Tool for Himar1 TnSeq Analysis. PLoS Computational Biology. 11(10). e1004401–e1004401. 144 indexed citations
17.
Long, Jarukit E., Michael A. DeJesus, Doyle V. Ward, et al.. (2015). Identifying Essential Genes in Mycobacterium tuberculosis by Global Phenotypic Profiling. Methods in molecular biology. 1279. 79–95. 66 indexed citations
18.
DeJesus, Michael A. & Thomas R. Ioerger. (2013). A Hidden Markov Model for identifying essential and growth-defect regions in bacterial genomes from transposon insertion sequencing data. BMC Bioinformatics. 14(1). 303–303. 58 indexed citations
19.
DeJesus, Michael A., James C. Sacchettini, & Thomas R. Ioerger. (2012). Reannotation of translational start sites in the genome of Mycobacterium tuberculosis. Tuberculosis. 93(1). 18–25. 22 indexed citations
20.
Gawronski, Jeffrey D., et al.. (2011). High-Resolution Phenotypic Profiling Defines Genes Essential for Mycobacterial Growth and Cholesterol Catabolism. PLoS Pathogens. 7(9). e1002251–e1002251. 795 indexed citations breakdown →

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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