Luka Ausec

773 total citations
17 papers, 622 citations indexed

About

Luka Ausec is a scholar working on Plant Science, Biotechnology and Ecology. According to data from OpenAlex, Luka Ausec has authored 17 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Biotechnology and 6 papers in Ecology. Recurrent topics in Luka Ausec's work include Enzyme-mediated dye degradation (8 papers), Microbial Metabolism and Applications (7 papers) and Microbial Community Ecology and Physiology (6 papers). Luka Ausec is often cited by papers focused on Enzyme-mediated dye degradation (8 papers), Microbial Metabolism and Applications (7 papers) and Microbial Community Ecology and Physiology (6 papers). Luka Ausec collaborates with scholars based in Slovenia, United States and Netherlands. Luka Ausec's co-authors include Ines Mandić-Mulec, Graeme W. Nicol, James I. Prosser, Barbara Kraigher, Alexander Goesmann, Andreas Schlüter, Jan Dirk van Elsas, Martha Zakrzewski, Ines Mandic‐Mulec and Francesca Berini and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Luka Ausec

16 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luka Ausec Slovenia 11 306 235 155 136 130 17 622
Hongyan Qi China 16 112 0.4× 432 1.8× 101 0.7× 49 0.4× 249 1.9× 49 787
Е. Н. Капаруллина Russia 14 285 0.9× 173 0.7× 105 0.7× 33 0.2× 336 2.6× 57 636
Haïtham Sghaier Tunisia 15 215 0.7× 175 0.7× 104 0.7× 56 0.4× 353 2.7× 47 754
Hong Li Yuan China 12 91 0.3× 287 1.2× 54 0.3× 46 0.3× 120 0.9× 15 587
Kousuke Suyama Japan 15 121 0.4× 247 1.1× 311 2.0× 31 0.2× 77 0.6× 36 604
Zhi Qu China 14 130 0.4× 241 1.0× 48 0.3× 48 0.4× 189 1.5× 31 598
Tae-Seok Ahn South Korea 14 188 0.6× 161 0.7× 65 0.4× 31 0.2× 170 1.3× 46 551
Xiaoyu Cheng China 14 203 0.7× 57 0.2× 49 0.3× 40 0.3× 146 1.1× 34 495
Hovik Panosyan Armenia 15 203 0.7× 86 0.4× 61 0.4× 107 0.8× 270 2.1× 34 497
Hiroyuki Iguchi Japan 13 177 0.6× 120 0.5× 52 0.3× 45 0.3× 333 2.6× 18 617

Countries citing papers authored by Luka Ausec

Since Specialization
Citations

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

Fields of papers citing papers by Luka Ausec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luka Ausec

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

All Works

17 of 17 papers shown
1.
Ausec, Luka, et al.. (2025). Large scale gene set ranking for survival-related gene sets. Artificial Intelligence in Medicine. 167. 103149–103149.
2.
Uhlik, Mark, Seema Iyer, Luka Ausec, et al.. (2023). Xerna™ TME Panel is a machine learning-based transcriptomic biomarker designed to predict therapeutic response in multiple cancers. Frontiers in Oncology. 13. 1158345–1158345. 3 indexed citations
3.
Iyer, Seema, Luka Ausec, Miha Štajdohar, et al.. (2022). Abstract 1232: Xerna TME Panel: A pan-cancer RNA-based investigational assay designed to predict patient responses to angiogenic and immune targeted therapies. Cancer Research. 82(12_Supplement). 1232–1232. 1 indexed citations
4.
Chen, Michelle, Maxim Sidorov, Angela Kim, et al.. (2022). Pitfalls and Rewards of Setting Up a Liquid Biopsy Approach for the Detection of Driver Mutations in Circulating Tumor DNAs: Our Institutional Experience. Journal of Personalized Medicine. 12(11). 1845–1845. 2 indexed citations
5.
Martini, María Carla, Francesca Berini, Luka Ausec, et al.. (2021). Identification and Characterization of a Novel Plasmid-Encoded Laccase-Like Multicopper Oxidase from Ochrobactrum sp. BF15 Isolated from an On-Farm Bio-Purification System. Food Technology and Biotechnology. 59(4). 519–529. 6 indexed citations
6.
Berini, Francesca, Marko Verce, Luka Ausec, et al.. (2018). Isolation and characterization of a heterologously expressed bacterial laccase from the anaerobe Geobacter metallireducens. Applied Microbiology and Biotechnology. 102(5). 2425–2439. 28 indexed citations
7.
Ausec, Luka, Francesca Berini, Mariana Silvia Cretoiu, et al.. (2017). The first acidobacterial laccase-like multicopper oxidase revealed by metagenomics shows high salt and thermo-tolerance. Applied Microbiology and Biotechnology. 101(15). 6261–6276. 48 indexed citations
8.
Ausec, Luka, et al.. (2015). Characterization of a novel high-pH-tolerant laccase-like multicopper oxidase and its sequence diversity in Thioalkalivibrio sp. Applied Microbiology and Biotechnology. 99(23). 9987–9999. 27 indexed citations
9.
Ausec, Luka, et al.. (2014). Microbial Community Structure and Function in Peat Soil. SHILAP Revista de lepidopterología. 13 indexed citations
10.
Jacquiod, Samuel, Sandrine Demanèche, Laure Franqueville, et al.. (2014). Characterization of new bacterial catabolic genes and mobile genetic elements by high throughput genetic screening of a soil metagenomic library. Journal of Biotechnology. 190. 18–29. 21 indexed citations
11.
Ausec, Luka, Martha Zakrzewski, Alexander Goesmann, Andreas Schlà ⁄ ter, & Ines Mandić-Mulec. (2012). Correction: Bioinformatic Analysis Reveals High Diversity of Bacterial Genes for Laccase-Like Enzymes. PLoS ONE. 7(1). 2 indexed citations
12.
Nicol, Graeme W., et al.. (2011). Stimulation of thaumarchaeal ammonia oxidation by ammonia derived from organic nitrogen but not added inorganic nitrogen. FEMS Microbiology Ecology. 80(1). 114–123. 169 indexed citations
13.
Tkavc, Rok, Luka Ausec, Aharon Oren, & Nina Gunde‐Cimerman. (2011). Bacteria associated with Artemia spp. along the salinity gradient of the solar salterns at Eilat (Israel). FEMS Microbiology Ecology. 77(2). 310–321. 31 indexed citations
14.
Ausec, Luka, Martha Zakrzewski, Alexander Goesmann, Andreas Schlüter, & Ines Mandić-Mulec. (2011). Bioinformatic Analysis Reveals High Diversity of Bacterial Genes for Laccase-Like Enzymes. PLoS ONE. 6(10). e25724–e25724. 109 indexed citations
15.
Ausec, Luka, Jan Dirk van Elsas, & Ines Mandić-Mulec. (2011). Two- and three-domain bacterial laccase-like genes are present in drained peat soils. Soil Biology and Biochemistry. 43(5). 975–983. 46 indexed citations
16.
Ausec, Luka, Barbara Kraigher, & Ines Mandić-Mulec. (2009). Differences in the activity and bacterial community structure of drained grassland and forest peat soils. Soil Biology and Biochemistry. 41(9). 1874–1881. 51 indexed citations
17.
Kraigher, Barbara, Blaž Stres, Janez Hacin, et al.. (2006). Microbial activity and community structure in two drained fen soils in the Ljubljana Marsh. Soil Biology and Biochemistry. 38(9). 2762–2771. 65 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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