Matthew J. Culyba

584 total citations
20 papers, 407 citations indexed

About

Matthew J. Culyba is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Matthew J. Culyba has authored 20 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Genetics and 5 papers in Infectious Diseases. Recurrent topics in Matthew J. Culyba's work include Bacterial Genetics and Biotechnology (11 papers), Bacteriophages and microbial interactions (5 papers) and DNA Repair Mechanisms (4 papers). Matthew J. Culyba is often cited by papers focused on Bacterial Genetics and Biotechnology (11 papers), Bacteriophages and microbial interactions (5 papers) and DNA Repair Mechanisms (4 papers). Matthew J. Culyba collaborates with scholars based in United States. Matthew J. Culyba's co-authors include Rahul M. Kohli, Charlie Y. Mo, Daria Van Tyne, Mark Goulian, Young Sun Hwang, Frederic D. Bushman, Paul Sniegowski, Manuela Roggiani, Amanda N. Samuels and Trevor Selwood and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Matthew J. Culyba

20 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew J. Culyba United States 10 212 145 141 69 50 20 407
Akihiro Doi Japan 8 273 1.3× 148 1.0× 96 0.7× 77 1.1× 36 0.7× 14 447
Yusuf Talha Tamer United States 8 177 0.8× 157 1.1× 168 1.2× 72 1.0× 34 0.7× 12 457
Ruth E. Caughlan United States 8 188 0.9× 127 0.9× 101 0.7× 79 1.1× 28 0.6× 9 334
Hannah Tsunemoto United States 12 220 1.0× 67 0.5× 116 0.8× 38 0.6× 37 0.7× 19 401
Sven‐Kevin Hotop Germany 9 114 0.5× 54 0.4× 93 0.7× 31 0.4× 81 1.6× 19 301
Chayan Kumar Saha Sweden 7 243 1.1× 119 0.8× 71 0.5× 107 1.6× 41 0.8× 9 395
Jessica T. Pinkham United States 7 240 1.1× 110 0.8× 48 0.3× 62 0.9× 79 1.6× 7 356
Caressa N. Tsai Canada 12 253 1.2× 104 0.7× 173 1.2× 77 1.1× 26 0.5× 17 551
Paul Balbo United States 9 278 1.3× 107 0.7× 44 0.3× 77 1.1× 30 0.6× 11 549
Amanda N. Samuels United States 7 166 0.8× 92 0.6× 101 0.7× 39 0.6× 47 0.9× 10 328

Countries citing papers authored by Matthew J. Culyba

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Culyba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Culyba. 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 Matthew J. Culyba. The network helps show where Matthew J. Culyba may publish in the future.

Co-authorship network of co-authors of Matthew J. Culyba

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Culyba. A scholar is included among the top collaborators of Matthew J. Culyba 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 Matthew J. Culyba. Matthew J. Culyba 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.
West, Raymond E., et al.. (2023). Clinical rel mutations in Staphylococcus aureus prime pathogen expansion under nutrient stress. mSphere. 8(5). e0024923–e0024923. 3 indexed citations
2.
Srinivasa, Vatsala Rangachar, M. Patrick Griffith, Mustapha M. Mustapha, et al.. (2022). Convergent Evolution of Antibiotic Tolerance in Patients with Persistent Methicillin-Resistant Staphylococcus aureus Bacteremia. Infection and Immunity. 90(4). e0000122–e0000122. 18 indexed citations
3.
Culyba, Matthew J., et al.. (2021). Effect of mismatch repair on the mutational footprint of the bacterial SOS mutator activity. DNA repair. 103. 103130–103130. 4 indexed citations
4.
Culyba, Matthew J., et al.. (2021). DNA cytosine methylation at the lexA promoter of Escherichia coli is stationary phase specific. G3 Genes Genomes Genetics. 12(2). 3 indexed citations
5.
Culyba, Matthew J. & Daria Van Tyne. (2021). Bacterial evolution during human infection: Adapt and live or adapt and die. PLoS Pathogens. 17(9). e1009872–e1009872. 36 indexed citations
6.
Culyba, Matthew J., et al.. (2021). 128. Mutations that Inactivate the Tricarboxylic Acid Cycle in Staphylococcus aureus Arise During Persistent MRSA Bacteremia. Open Forum Infectious Diseases. 8(Supplement_1). S78–S79. 1 indexed citations
7.
Culyba, Matthew J., et al.. (2020). The Parameter-Fitness Landscape of lexA Autoregulation in Escherichia coli. mSphere. 5(4). 10 indexed citations
8.
Culyba, Matthew J., et al.. (2018). Non-equilibrium repressor binding kinetics link DNA damage dose to transcriptional timing within the SOS gene network. PLoS Genetics. 14(6). e1007405–e1007405. 33 indexed citations
9.
Selwood, Trevor, Charlie Y. Mo, Matthew J. Culyba, et al.. (2018). Advancement of the 5-Amino-1-(Carbamoylmethyl)-1H-1,2,3-Triazole-4-Carboxamide Scaffold to Disarm the Bacterial SOS Response. Frontiers in Microbiology. 9. 26 indexed citations
10.
Culyba, Matthew J.. (2018). Ordering up gene expression by slowing down transcription factor binding kinetics. Current Genetics. 65(2). 401–406. 8 indexed citations
11.
Culyba, Matthew J., et al.. (2017). A Small-Molecule Inducible Synthetic Circuit for Control of the SOS Gene Network without DNA Damage. ACS Synthetic Biology. 6(11). 2067–2076. 5 indexed citations
12.
Mo, Charlie Y., Matthew J. Culyba, Trevor Selwood, et al.. (2017). Inhibitors of LexA Autoproteolysis and the Bacterial SOS Response Discovered by an Academic–Industry Partnership. ACS Infectious Diseases. 4(3). 349–359. 46 indexed citations
13.
Stewart, Leslie, et al.. (2017). Spinal Epidural Abscess Caused by Gardnerella vaginalis and Prevotella amnii. Infectious Diseases in Clinical Practice. 26(4). 237–239. 6 indexed citations
14.
Mo, Charlie Y., Manuela Roggiani, Matthew J. Culyba, et al.. (2016). Systematically Altering Bacterial SOS Activity under Stress Reveals Therapeutic Strategies for Potentiating Antibiotics. mSphere. 1(4). 74 indexed citations
15.
Culyba, Matthew J., Charlie Y. Mo, & Rahul M. Kohli. (2015). Targets for Combating the Evolution of Acquired Antibiotic Resistance. Biochemistry. 54(23). 3573–3582. 84 indexed citations
16.
Culyba, Matthew J., Young Sun Hwang, Peter B. Madrid, et al.. (2012). Bulged DNA substrates for identifying poxvirus resolvase inhibitors. Nucleic Acids Research. 40(16). e124–e124. 7 indexed citations
17.
Culyba, Matthew J., et al.. (2010). Metal Cofactors in the Structure and Activity of the Fowlpox Resolvase. Journal of Molecular Biology. 399(1). 182–195. 6 indexed citations
18.
Culyba, Matthew J., Young Sun Hwang, Nana Minkah, & Frederic D. Bushman. (2008). DNA Binding and Cleavage by the Fowlpox Virus Resolvase. Journal of Biological Chemistry. 284(2). 1190–1201. 9 indexed citations
19.
Culyba, Matthew J., et al.. (2007). DNA Branch Nuclease Activity of Vaccinia A22 Resolvase. Journal of Biological Chemistry. 282(48). 34644–34652. 16 indexed citations
20.
Culyba, Matthew J., et al.. (2006). DNA cleavage by the A22R resolvase of vaccinia virus. Virology. 352(2). 466–476. 12 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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