Balázs Libisch

1.0k total citations
35 papers, 683 citations indexed

About

Balázs Libisch is a scholar working on Molecular Biology, Molecular Medicine and Endocrinology. According to data from OpenAlex, Balázs Libisch has authored 35 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Molecular Medicine and 8 papers in Endocrinology. Recurrent topics in Balázs Libisch's work include Antibiotic Resistance in Bacteria (16 papers), Bacterial biofilms and quorum sensing (13 papers) and Vibrio bacteria research studies (8 papers). Balázs Libisch is often cited by papers focused on Antibiotic Resistance in Bacteria (16 papers), Bacterial biofilms and quorum sensing (13 papers) and Vibrio bacteria research studies (8 papers). Balázs Libisch collaborates with scholars based in Hungary, France and United Kingdom. Balázs Libisch's co-authors include M. Füzi, Johnathan A. Napier, Boglárka Balogh, M Gacs, Christian G. Giske, M. Muzslay, Olga Sayanova, Frédéric Beaudoin, Zorica Lepšanović and Céline Colinon and has published in prestigious journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and Journal of Clinical Microbiology.

In The Last Decade

Balázs Libisch

33 papers receiving 662 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Balázs Libisch Hungary 16 402 337 149 128 79 35 683
Andrzej Pałucha Poland 13 300 0.7× 388 1.2× 185 1.2× 8 0.1× 97 1.2× 26 757
Manabu Furushita Japan 11 267 0.7× 87 0.3× 112 0.8× 28 0.2× 144 1.8× 24 659
Vera Webb Canada 6 400 1.0× 401 1.2× 342 2.3× 4 0.0× 151 1.9× 7 961
Xi‐Fen Zhang Singapore 7 851 2.1× 168 0.5× 168 1.1× 9 0.1× 39 0.5× 8 1.1k
Yuan Hu China 14 187 0.5× 168 0.5× 91 0.6× 4 0.0× 31 0.4× 32 538
Jaspal Kaur India 13 81 0.2× 156 0.5× 91 0.6× 4 0.0× 66 0.8× 51 496
Gabriela Müller Argentina 16 354 0.9× 94 0.3× 84 0.6× 13 0.1× 10 0.1× 40 595
Yingping Cao China 16 650 1.6× 121 0.4× 67 0.4× 10 0.1× 42 0.5× 40 1.0k
Evelyn Skiebe Germany 10 255 0.6× 302 0.9× 160 1.1× 5 0.0× 46 0.6× 18 439
Xing‐Ping Li China 16 160 0.4× 759 2.3× 313 2.1× 3 0.0× 394 5.0× 46 1.0k

Countries citing papers authored by Balázs Libisch

Since Specialization
Citations

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

Fields of papers citing papers by Balázs Libisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Balázs Libisch

This figure shows the co-authorship network connecting the top 25 collaborators of Balázs Libisch. A scholar is included among the top collaborators of Balázs Libisch 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 Balázs Libisch. Balázs Libisch 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
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Libisch, Balázs, et al.. (2025). Detection of the ST111 Global High-Risk Pseudomonas aeruginosa Clone in a Subway Underpass. Current Issues in Molecular Biology. 47(7). 532–532.
4.
Libisch, Balázs. (2024). N-Alkane Assimilation by Pseudomonas aeruginosa and Its Interactions with Virulence and Antibiotic Resistance. Antibiotics. 13(11). 1028–1028. 2 indexed citations
5.
Libisch, Balázs, Tibor Nagy, Zoltán Kerényi, et al.. (2023). Isolation and Characterization of Lactic Acid Bacteria With Probiotic Attributes From Different Parts of the Gastrointestinal Tract of Free-living Wild Boars in Hungary. Probiotics and Antimicrobial Proteins. 16(4). 1221–1239. 11 indexed citations
6.
Halas, Veronika, Balázs Libisch, Ferenc Olasz, et al.. (2023). Gut-Faecal Microbial and Health-Marker Response to Dietary Fumonisins in Weaned Pigs. Toxins. 15(5). 328–328. 10 indexed citations
7.
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Libisch, Balázs, Péter Papp, Ferenc Olasz, et al.. (2022). Detection of Acquired Antibiotic Resistance Genes in Domestic Pig (Sus scrofa) and Common Carp (Cyprinus carpio) Intestinal Samples by Metagenomics Analyses in Hungary. Antibiotics. 11(10). 1441–1441. 9 indexed citations
9.
Libisch, Balázs, et al.. (2010). GROWTH AND MYCORRHIZAL COLONIZATION OF FOUR GRASSES IN A MN-AMENDED LOW QUALITY SANDY SOIL. Research Journal of Agricultural Science. 42(4). 44–50. 1 indexed citations
10.
Szmolka, Ama, Balázs Libisch, Judit Pászti, et al.. (2009). Virulence and antimicrobial resistance determinants of human pathogenic and commensal strains ofPseudomonas aeruginosa. Acta Microbiologica et Immunologica Hungarica. 56(4). 399–402. 3 indexed citations
11.
Libisch, Balázs, Laurent Poirel, Zorica Lepšanović, et al.. (2008). Identification of PER-1 extended-spectrum β-lactamase producingPseudomonas aeruginosaclinical isolates of the international clonal complex CC11 from Hungary and Serbia. FEMS Immunology & Medical Microbiology. 54(3). 330–338. 52 indexed citations
12.
Lepšanović, Zorica, et al.. (2008). Characterisation of the first VIM metallo-β-lactamase-producingPseudomonas aeruginosaclinical isolate in Serbia. Acta Microbiologica et Immunologica Hungarica. 55(4). 447–454. 21 indexed citations
13.
Libisch, Balázs, Boglárka Balogh, & M. Füzi. (2008). Identification of Two Multidrug-Resistant Pseudomonas aeruginosa Clonal Lineages with a Countrywide Distribution in Hungary. Current Microbiology. 58(2). 111–116. 35 indexed citations
14.
Libisch, Balázs, Joseph Watine, Boglárka Balogh, et al.. (2008). Molecular typing indicates an important role for two international clonal complexes in dissemination of VIM-producing Pseudomonas aeruginosa clinical isolates in Hungary. Research in Microbiology. 159(3). 162–168. 50 indexed citations
15.
Gacs, M, et al.. (2007). Molecular characterisation of invasive Streptococcus pyogenes isolates from Hungary obtained in 2004 and 2005. European Journal of Clinical Microbiology & Infectious Diseases. 26(11). 807–811. 16 indexed citations
16.
Libisch, Balázs, M. Muzslay, M Gacs, et al.. (2006). Molecular Epidemiology of VIM-4 Metallo-β-Lactamase-Producing Pseudomonas sp. Isolates in Hungary. Antimicrobial Agents and Chemotherapy. 50(12). 4220–4223. 26 indexed citations
17.
Sayanova, Olga, et al.. (2001). Mutagenesis and heterologous expression in yeast of a plant Δ6‐fatty acid desaturase. Journal of Experimental Botany. 52(360). 1581–1585. 55 indexed citations
18.
Sperling, Petra, Balázs Libisch, Ulrich Zähringer, Johnathan A. Napier, & Ernst Heinz. (2001). Functional Identification of a Δ8-Sphingolipid Desaturase from Borago officinalis. Archives of Biochemistry and Biophysics. 388(2). 293–298. 45 indexed citations
19.
Libisch, Balázs, Louise V. Michaelson, Mervyn J. Lewis, Peter R. Shewry, & Johnathan A. Napier. (2000). Chimeras of Δ6-Fatty Acid and Δ8-Sphingolipid Desaturases. Biochemical and Biophysical Research Communications. 279(3). 779–785. 38 indexed citations
20.
Libisch, Balázs, et al.. (2000). Mutagenesis of the borage Δ6 fatty acid desaturase. Biochemical Society Transactions. 28(6). 636–636. 1 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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