Marat R. Sadykov

2.5k total citations
45 papers, 1.9k citations indexed

About

Marat R. Sadykov is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Marat R. Sadykov has authored 45 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 30 papers in Infectious Diseases and 26 papers in Genetics. Recurrent topics in Marat R. Sadykov's work include Antimicrobial Resistance in Staphylococcus (28 papers), Bacterial biofilms and quorum sensing (27 papers) and Bacterial Genetics and Biotechnology (26 papers). Marat R. Sadykov is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (28 papers), Bacterial biofilms and quorum sensing (27 papers) and Bacterial Genetics and Biotechnology (26 papers). Marat R. Sadykov collaborates with scholars based in United States, Japan and Egypt. Marat R. Sadykov's co-authors include Kenneth W. Bayles, Greg A. Somerville, Robert Powers, Thanh T. Luong, Paul D. Fey, Charlotte D. Majerczyk, Abraham L. Sonenshein, Chia Y. Lee, Yefei Zhu and Jennifer L. Endres and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Chemistry.

In The Last Decade

Marat R. Sadykov

44 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marat R. Sadykov United States 27 1.4k 937 542 173 168 45 1.9k
Jan Pané‐Farré Germany 24 1.6k 1.2× 877 0.9× 699 1.3× 226 1.3× 323 1.9× 48 2.4k
Ralf Rosenstein Germany 22 1.4k 1.0× 710 0.8× 363 0.7× 262 1.5× 235 1.4× 29 2.1k
Sarah Dubrac France 22 1.2k 0.9× 726 0.8× 684 1.3× 194 1.1× 304 1.8× 32 1.9k
Joshua B. Parsons United States 18 1.1k 0.8× 429 0.5× 320 0.6× 146 0.8× 264 1.6× 33 1.8k
Nicholas P. West Australia 29 1000 0.7× 824 0.9× 297 0.5× 183 1.1× 176 1.0× 72 2.2k
Sarah E. Rowe United States 19 1.7k 1.2× 856 0.9× 655 1.2× 337 1.9× 267 1.6× 39 2.7k
John P. Santa Maria United States 12 834 0.6× 440 0.5× 238 0.4× 226 1.3× 215 1.3× 13 1.5k
Timothy C. Meredith United States 26 1.4k 1.0× 571 0.6× 623 1.1× 264 1.5× 415 2.5× 46 2.5k
Devin L. Stauff United States 16 1.0k 0.7× 490 0.5× 387 0.7× 110 0.6× 135 0.8× 24 1.6k
Ján Kormanec Slovakia 30 2.2k 1.5× 748 0.8× 1.0k 1.9× 102 0.6× 346 2.1× 130 3.3k

Countries citing papers authored by Marat R. Sadykov

Since Specialization
Citations

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

Fields of papers citing papers by Marat R. Sadykov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marat R. Sadykov. 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 Marat R. Sadykov. The network helps show where Marat R. Sadykov may publish in the future.

Co-authorship network of co-authors of Marat R. Sadykov

This figure shows the co-authorship network connecting the top 25 collaborators of Marat R. Sadykov. A scholar is included among the top collaborators of Marat R. Sadykov 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 Marat R. Sadykov. Marat R. Sadykov 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.
Oupický, David, et al.. (2025). Strategies to overcome antibiotic resistance: silver nanoparticles and vancomycin in pathogen eradication. 2(3). 455–479. 11 indexed citations
2.
3.
Johnson, Kristen, Jennifer L. Endres, Kenneth W. Bayles, et al.. (2025). Quaternized chitosan derivatives inhibit growth and affect biofilm formation of Staphylococcus aureus. Scientific Reports. 15(1). 29606–29606. 1 indexed citations
4.
Gupta, Ritika, et al.. (2024). Machine learning assisted identification of antibiotic-resistant Staphylococcus aureus strains using a paper-based ratiometric sensor array. Microchemical Journal. 206. 111395–111395. 5 indexed citations
5.
6.
Samuels, David, et al.. (2018). Guanine Limitation Results in CodY-Dependent and -Independent Alteration of Staphylococcus aureus Physiology and Gene Expression. Journal of Bacteriology. 200(14). 16 indexed citations
7.
Lei, Shulei, McKenzie K. Lehman, Austin S. Nuxoll, et al.. (2017). Amino Acid Catabolism in Staphylococcus aureus and the Function of Carbon Catabolite Repression. mBio. 8(1). 148 indexed citations
8.
Marshall, Darrell D., Marat R. Sadykov, Vinai C. Thomas, Kenneth W. Bayles, & Robert Powers. (2016). Redox Imbalance Underlies the Fitness Defect Associated with Inactivation of the Pta-AckA Pathway inStaphylococcus aureus. Journal of Proteome Research. 15(4). 1205–1212. 29 indexed citations
9.
Sadykov, Marat R.. (2014). Restriction–Modification Systems as a Barrier for Genetic Manipulation of Staphylococcus aureus. Methods in molecular biology. 1373. 9–23. 20 indexed citations
10.
Thomas, Vinai C., Marat R. Sadykov, Sujata S. Chaudhari, et al.. (2014). A Central Role for Carbon-Overflow Pathways in the Modulation of Bacterial Cell Death. PLoS Pathogens. 10(6). e1004205–e1004205. 89 indexed citations
11.
Moormeier, Derek E., Jennifer L. Endres, Ethan E. Mann, et al.. (2013). Use of Microfluidic Technology To Analyze Gene Expression during Staphylococcus aureus Biofilm Formation Reveals Distinct Physiological Niches. Applied and Environmental Microbiology. 79(11). 3413–3424. 79 indexed citations
12.
Sadykov, Marat R. & Kenneth W. Bayles. (2012). The control of death and lysis in staphylococcal biofilms: a coordination of physiological signals. Current Opinion in Microbiology. 15(2). 211–215. 66 indexed citations
13.
Nuxoll, Austin S., Steven Halouska, Marat R. Sadykov, et al.. (2012). CcpA Regulates Arginine Biosynthesis in Staphylococcus aureus through Repression of Proline Catabolism. PLoS Pathogens. 8(11). e1003033–e1003033. 79 indexed citations
14.
Takahashi, Noriko, et al.. (2011). IS-Linked Movement of a Restriction-Modification System. PLoS ONE. 6(1). e16554–e16554. 13 indexed citations
15.
Zhu, Yefei, Renu Nandakumar, Marat R. Sadykov, et al.. (2011). RpiR Homologues May Link Staphylococcus aureus RNAIII Synthesis and Pentose Phosphate Pathway Regulation. Journal of Bacteriology. 193(22). 6187–6196. 43 indexed citations
16.
Majerczyk, Charlotte D., Paul M. Dunman, Thanh T. Luong, et al.. (2010). Direct Targets of CodY in Staphylococcus aureus. Journal of Bacteriology. 192(11). 2861–2877. 177 indexed citations
17.
Sadykov, Marat R., Bo Zhang, Steven Halouska, et al.. (2010). Using NMR Metabolomics to Investigate Tricarboxylic Acid Cycle-dependent Signal Transduction in Staphylococcus epidermidis. Journal of Biological Chemistry. 285(47). 36616–36624. 41 indexed citations
18.
Sadykov, Marat R., Thanh T. Luong, Yefei Zhu, et al.. (2010). Tricarboxylic Acid Cycle-Dependent Synthesis of Staphylococcus aureus Type 5 and 8 Capsular Polysaccharides. Journal of Bacteriology. 192(5). 1459–1462. 44 indexed citations
19.
Sadykov, Marat R., Michael E. Olson, Steven Halouska, et al.. (2008). Tricarboxylic Acid Cycle-Dependent Regulation of Staphylococcus epidermidis Polysaccharide Intercellular Adhesin Synthesis. Journal of Bacteriology. 190(23). 7621–7632. 72 indexed citations
20.

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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