Luka Ausec

784 citations
18 papers · 670 · h-index 11

Impact in

    • Microbial Metabolism and Applications
  • Pollution top 5%
    • Wastewater Treatment and Nitrogen Removal

Papers in

    • Enzyme-mediated dye degradation 8
    • Microbial Community Ecology and Physiology 6
    • Peatlands and Wetlands Ecology 3
    • Coastal wetland ecosystem dynamics 3

Luka Ausec

17 papers receiving 648 citations

Peers

Luka Ausec
Comparison fields: 5 of 64
  • Biotechnology 133
  • Pollution 162
  • Ecology 325
  • Soil Science 109
  • Environmental Chemistry 84
Replace Е. Н. Капаруллина with:
Е. Н. Капаруллина Russia
Hongyan Qi China
S. Tagger France
Kousuke Suyama Japan
Hong Li Yuan China
Cecilia G. Flocco Argentina
Hovik Panosyan Armenia
Zhi Qu China
Priya Padmanabhan United States
Eeva Heinaru Estonia
Luka Ausec relative to Е. Н. Капаруллина Russia Е. Н. Капаруллина's profile →
Citations per field
00.5×3.8×
Е. Н. Капаруллина · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Luka Ausec, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luka Ausec Line = papers co-authored together Luka Ausec links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2011170
2 2011120
3 200668
4 201157
5 201755
6 200954
7 201132
8 201530
9 201829
10 201426
11
Microbial Community Structure and Function in Peat Soil
201413
12 20216
13 20233
14 20222
15 20232
16 20122
17 20221
18 20250

About Luka Ausec

Luka Ausec is a scholar working on Plant Science, Ecology, Biotechnology, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 18 papers that have together received 670 indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (8 papers), Microbial Community Ecology and Physiology (6 papers), Microbial Metabolism and Applications (6 papers), Peatlands and Wetlands Ecology (3 papers), Coastal wetland ecosystem dynamics (3 papers), Chromium effects and bioremediation (2 papers), Gene expression and cancer classification (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Biotechnology (133 citations), Pollution (162 citations), Ecology (325 citations), Soil Science (109 citations) and Environmental Chemistry (84 citations). Luka Ausec has collaborated with scholars based in Slovenia, Netherlands and United States. Frequent co-authors include Ines Mandić-Mulec, James I. Prosser, Graeme W. Nicol, Barbara Kraigher, Jan Dirk van Elsas, Alexander Goesmann, Martha Zakrzewski, Andreas Schlüter, Francesca Berini and Ines Mandic‐Mulec. Their work appears in journals such as Soil Biology and Biochemistry, Applied Microbiology and Biotechnology, PLoS ONE, FEMS Microbiology Ecology and Journal of Personalized Medicine.

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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