Aušra Raudonikiene

850 total citations
18 papers, 706 citations indexed

About

Aušra Raudonikiene is a scholar working on Molecular Biology, Ecology and Surgery. According to data from OpenAlex, Aušra Raudonikiene has authored 18 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Ecology and 7 papers in Surgery. Recurrent topics in Aušra Raudonikiene's work include Bacteriophages and microbial interactions (9 papers), RNA and protein synthesis mechanisms (9 papers) and Bacterial Genetics and Biotechnology (6 papers). Aušra Raudonikiene is often cited by papers focused on Bacteriophages and microbial interactions (9 papers), RNA and protein synthesis mechanisms (9 papers) and Bacterial Genetics and Biotechnology (6 papers). Aušra Raudonikiene collaborates with scholars based in Lithuania, Canada and United States. Aušra Raudonikiene's co-authors include Paul S. Hoffman, Douglas E. Berg, Leslie B. Poole, Gary Sisson, Avery Goodwin, Nicky J. Hughes, Asish K. Mukhopadhyay, Louis Bryden, Shengen Xiao and René W. van der Hulst and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and Journal of Bacteriology.

In The Last Decade

Aušra Raudonikiene

18 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aušra Raudonikiene Lithuania 10 326 279 157 131 118 18 706
Stéphane Skouloubris France 16 330 1.0× 523 1.9× 105 0.7× 73 0.6× 134 1.1× 24 890
Andrew A. McColm United Kingdom 6 186 0.6× 232 0.8× 93 0.6× 61 0.5× 177 1.5× 7 583
Cara L. Cooke United States 14 266 0.8× 218 0.8× 221 1.4× 97 0.7× 61 0.5× 14 652
Igor N. Olekhnovich United States 15 141 0.4× 200 0.7× 51 0.3× 44 0.3× 170 1.4× 29 656
Adriana A. Olczak United States 10 316 1.0× 177 0.6× 178 1.1× 93 0.7× 44 0.4× 10 569
Jorge M. B. Vítor Portugal 12 326 1.0× 155 0.6× 73 0.5× 96 0.7× 68 0.6× 26 538
Alfonso Méndez-Tenorio Mexico 14 193 0.6× 225 0.8× 86 0.5× 37 0.3× 45 0.4× 53 599
Vandana Chandan Canada 14 200 0.6× 161 0.6× 214 1.4× 83 0.6× 47 0.4× 30 436
Sheri P. Cole United States 9 392 1.2× 236 0.8× 333 2.1× 94 0.7× 52 0.4× 10 780
P. S. Jackett United Kingdom 17 131 0.4× 278 1.0× 208 1.3× 24 0.2× 553 4.7× 23 936

Countries citing papers authored by Aušra Raudonikiene

Since Specialization
Citations

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

Fields of papers citing papers by Aušra Raudonikiene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aušra Raudonikiene

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

All Works

18 of 18 papers shown
1.
Hoffman, Paul S., Donna M. Hutchison, Jared Butler, et al.. (2003). Development of an Interleukin-12-Deficient Mouse Model That Is Permissive for Colonization by a Motile KE26695 Strain of Helicobacter pylori. Infection and Immunity. 71(5). 2534–2541. 38 indexed citations
2.
Sisson, Gary, Avery Goodwin, Aušra Raudonikiene, et al.. (2002). Enzymes Associated with Reductive Activation and Action of Nitazoxanide, Nitrofurans, and Metronidazole in Helicobacter pylori. Antimicrobial Agents and Chemotherapy. 46(7). 2116–2123. 148 indexed citations
3.
Karunakaran, Karuna P., James Blanchard, Aušra Raudonikiene, et al.. (2002). Molecular Detection and Seroepidemiology of the Chlamydia pneumoniae Bacteriophage (ΦCpn1). Journal of Clinical Microbiology. 40(11). 4010–4014. 18 indexed citations
4.
Raudonikiene, Aušra, et al.. (2001). Essential Thioredoxin-Dependent Peroxiredoxin System from Helicobacter pylori : Genetic and Kinetic Characterization. Journal of Bacteriology. 183(6). 1961–1973. 164 indexed citations
5.
Sisson, Gary, Jin-Yong Jeong, Avery Goodwin, et al.. (2000). Metronidazole Activation Is Mutagenic and Causes DNA Fragmentation in Helicobacter pylori and in Escherichia coli Containing a Cloned H. pylori rdxA + (Nitroreductase) Gene. Journal of Bacteriology. 182(18). 5091–5096. 109 indexed citations
6.
Raudonikiene, Aušra, Jin‐Yong Jeong, Louis Bryden, et al.. (1999). Helicobacter pylori with separate β‐ and β′‐subunits of RNA polymerase is viable and can colonize conventional mice. Molecular Microbiology. 32(1). 131–138. 14 indexed citations
7.
Kersulyte, D, et al.. (1998). Genotypes of Helicobacter pylori in Lithuanian families.. PubMed. 3(4). 296–302. 24 indexed citations
8.
Pan, Zijian, Douglas E. Berg, René W. van der Hulst, et al.. (1998). Prevalence of Vacuolating Cytotoxin Production and Distribution of Distinct vacA Alleles in Helicobacter pylori from China. The Journal of Infectious Diseases. 178(1). 220–226. 110 indexed citations
9.
Koch, Thomas, et al.. (1995). Overexpression, purification, and characterization of the ADP-ribosyltransferase (gpAlt) of bacteriophage T4: ADP-ribosylation of E. coli RNA polymerase modulates T4 "early" transcription.. PubMed. 4(4-5). 253–64. 30 indexed citations
10.
Raudonikiene, Aušra, et al.. (1994). Cloning and expression of genes from the genomic region between genes tcd and 30 of bacteriophage T4. Gene. 147(1). 71–76. 5 indexed citations
11.
Raudonikiene, Aušra, et al.. (1993). The sequences of gene rIII of bacteriophage T4 and its mutants. Gene. 134(1). 135–136. 6 indexed citations
12.
Vaiškunaite, Rita, et al.. (1993). Expression of Bacteriophage T4 Gene 25 is Regulated via RNA Secondary Structure in the Translational Initiation Region. Journal of Molecular Biology. 230(3). 717–721. 4 indexed citations
13.
Raudonikiene, Aušra, et al.. (1992). Gene rIII is the nearest downstream neighbour of bacteriophage T4 gene 31. Gene. 114(1). 85–90. 7 indexed citations
14.
Raudonikiene, Aušra, et al.. (1992). The nucleotide sequence between genes 31 and 30 of bacteriophage T4. DNA sequence. 2(6). 405–409. 4 indexed citations
15.
Vaiškunaite, Rita, et al.. (1992). An internal AUU codon initiates a smaller peptide encoded by bacteriophage T4 baseplate gene 26. Molecular and General Genetics MGG. 232(2). 257–261. 10 indexed citations
16.
Vaiškunaite, Rita, et al.. (1992). Cloning, sequence, and overexpression of bacteriophage T4 gene 51. Virology. 188(2). 887–889. 4 indexed citations
17.
Raudonikiene, Aušra, et al.. (1990). Bacteriophage T4 gene 26. Nucleic Acids Research. 18(7). 1913–1913. 6 indexed citations
18.
Raudonikiene, Aušra, et al.. (1990). Nucleotide sequence of bacteriophage T4 gene 31 region. Nucleic Acids Research. 18(14). 4280–4280. 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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