Renatas Krasauskas

624 total citations
26 papers, 430 citations indexed

About

Renatas Krasauskas is a scholar working on Molecular Medicine, Endocrinology and Computational Mechanics. According to data from OpenAlex, Renatas Krasauskas has authored 26 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Medicine, 9 papers in Endocrinology and 7 papers in Computational Mechanics. Recurrent topics in Renatas Krasauskas's work include Antibiotic Resistance in Bacteria (11 papers), Vibrio bacteria research studies (8 papers) and Advanced Numerical Analysis Techniques (7 papers). Renatas Krasauskas is often cited by papers focused on Antibiotic Resistance in Bacteria (11 papers), Vibrio bacteria research studies (8 papers) and Advanced Numerical Analysis Techniques (7 papers). Renatas Krasauskas collaborates with scholars based in Lithuania, France and China. Renatas Krasauskas's co-authors include Edita Sužiedėlienė, Julija Armalytė, Jūratė Skerniškytė, Christoph Mäurer, Modestas Ružauskas, Rita Šiugždinienė, Irena Klimienė, Elena Bakienė, Sigita Kerzienė and Kęstutis Sužiedėlis and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Renatas Krasauskas

22 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renatas Krasauskas Lithuania 12 188 139 123 61 58 26 430
Sara Brunetti Italy 10 34 0.2× 182 1.3× 41 0.3× 3 0.0× 18 0.3× 38 522
Philip Montgomery United States 6 172 0.9× 376 2.7× 81 0.7× 4 0.1× 14 0.2× 10 478
Baiyuan Li China 16 158 0.8× 363 2.6× 166 1.3× 12 0.2× 55 0.9× 32 756
Martin Palm Sweden 7 125 0.7× 120 0.9× 31 0.3× 6 0.1× 39 0.7× 10 275
L. Li China 7 71 0.4× 159 1.1× 56 0.5× 5 0.1× 12 0.2× 9 378
Eloy Mata Spain 10 111 0.6× 109 0.8× 101 0.8× 2 0.0× 33 0.6× 17 478
R Fitts United States 7 14 0.1× 150 1.1× 77 0.6× 3 0.0× 9 0.2× 9 405
Jie Che China 10 79 0.4× 76 0.5× 34 0.3× 3 0.0× 27 0.5× 17 251
Nadia Rodríguez-Medina Mexico 12 276 1.5× 201 1.4× 118 1.0× 43 0.7× 17 460
Hiren Ghosh Germany 10 233 1.2× 181 1.3× 168 1.4× 101 1.7× 25 515

Countries citing papers authored by Renatas Krasauskas

Since Specialization
Citations

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

Fields of papers citing papers by Renatas Krasauskas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renatas Krasauskas. 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 Renatas Krasauskas. The network helps show where Renatas Krasauskas may publish in the future.

Co-authorship network of co-authors of Renatas Krasauskas

This figure shows the co-authorship network connecting the top 25 collaborators of Renatas Krasauskas. A scholar is included among the top collaborators of Renatas Krasauskas 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 Renatas Krasauskas. Renatas Krasauskas 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.
Krasauskas, Renatas, Kotryna Kvederavičiūtė, Algirdas Kaupinis, et al.. (2023). Interplay between bacterial 5′-NAD-RNA decapping hydrolase NudC and DEAD-box RNA helicase CsdA in stress responses. mSystems. 8(5). e0071823–e0071823.
2.
Krasauskas, Renatas, et al.. (2023). Novel Antibiotic Resistance Genes Identified by Functional Gene Library Screening in Stenotrophomonas maltophilia and Chryseobacterium spp. Bacteria of Soil Origin. International Journal of Molecular Sciences. 24(7). 6037–6037. 6 indexed citations
3.
4.
Krasauskas, Renatas, et al.. (2020). Capsule Protects Acinetobacter baumannii From Inter-Bacterial Competition Mediated by CdiA Toxin. Frontiers in Microbiology. 11. 1493–1493. 6 indexed citations
5.
Skerniškytė, Jūratė, Julien Deschamps, Renatas Krasauskas, et al.. (2019). Blp1 protein shows virulence-associated features and elicits protective immunity to Acinetobacter baumannii infection. BMC Microbiology. 19(1). 259–259. 31 indexed citations
6.
Skerniškytė, Jūratė, Renatas Krasauskas, Christine Péchoux, et al.. (2019). Surface-Related Features and Virulence Among Acinetobacter baumannii Clinical Isolates Belonging to International Clones I and II. Frontiers in Microbiology. 9. 3116–3116. 35 indexed citations
7.
Armalytė, Julija, Jūratė Skerniškytė, Elena Bakienė, et al.. (2019). Microbial Diversity and Antimicrobial Resistance Profile in Microbiota From Soils of Conventional and Organic Farming Systems. Frontiers in Microbiology. 10. 892–892. 84 indexed citations
8.
Krasauskas, Renatas, Jūratė Skerniškytė, Julija Armalytė, & Edita Sužiedėlienė. (2019). The role of Acinetobacter baumannii response regulator BfmR in pellicle formation and competitiveness via contact-dependent inhibition system. BMC Microbiology. 19(1). 241–241. 39 indexed citations
9.
10.
Krasauskas, Renatas, et al.. (2018). Rational offsets of regular quadrics revisited. Computer Aided Geometric Design. 64. 1–10.
11.
Armalytė, Julija, et al.. (2018). The higBA Toxin-Antitoxin Module From the Opportunistic Pathogen Acinetobacter baumannii – Regulation, Activity, and Evolution. Frontiers in Microbiology. 9. 732–732. 23 indexed citations
12.
Ružauskas, Modestas, Irena Klimienė, Julija Armalytė, et al.. (2018). Composition and antimicrobial resistance profile of Gram‐negative microbiota prevalent in aquacultured fish. Journal of Food Safety. 38(3). 19 indexed citations
13.
Krasauskas, Renatas, et al.. (2015). Purification and characterization of a new β-lactamase OXA-205 from Pseudomonas aeruginosa. Annals of Clinical Microbiology and Antimicrobials. 14(1). 52–52. 17 indexed citations
14.
Šeputienė, Vaida, et al.. (2012). Spread of carbapenem-resistant Acinetobacter baumannii carrying a plasmid with two genes encoding OXA-72 carbapenemase in Lithuanian hospitals. Journal of Antimicrobial Chemotherapy. 68(5). 1000–1006. 48 indexed citations
15.
Karčiauskas, Kȩstutis & Renatas Krasauskas. (2000). Comparison of Different Multisided Patches Using Algebraic Geometry. Defense Technical Information Center (DTIC). 3 indexed citations
16.
Krasauskas, Renatas. (1996). Crossed simplicial groups of framed braids and mapping class groups of surfaces. Lithuanian Mathematical Journal. 36(3). 263–281.
17.
Krasauskas, Renatas, et al.. (1989). RATIONAL HERMITIAN K-THEORY AND DIHEDRAL HOMOLOGY. Mathematics of the USSR-Izvestiya. 33(2). 261–293. 2 indexed citations
18.
Krasauskas, Renatas, et al.. (1988). DIHEDRAL HOMOLOGY AND COHOMOLOGY. BASIC NOTIONS AND CONSTRUCTIONS. Mathematics of the USSR-Sbornik. 61(1). 23–47. 14 indexed citations
19.
Krasauskas, Renatas. (1987). Skew-simplicial groups. Lithuanian Mathematical Journal. 27(1). 47–54. 6 indexed citations
20.
Krasauskas, Renatas, et al.. (1986). Dihedral homology and HermitianK-theory of topological spaces. Russian Mathematical Surveys. 41(2). 203–204. 5 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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