Lucie Pařenicová

2.5k total citations · 1 hit paper
16 papers, 1.8k citations indexed

About

Lucie Pařenicová is a scholar working on Plant Science, Biotechnology and Molecular Biology. According to data from OpenAlex, Lucie Pařenicová has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 7 papers in Biotechnology and 3 papers in Molecular Biology. Recurrent topics in Lucie Pařenicová's work include Polysaccharides and Plant Cell Walls (7 papers), Enzyme Production and Characterization (7 papers) and Microbial Metabolites in Food Biotechnology (3 papers). Lucie Pařenicová is often cited by papers focused on Polysaccharides and Plant Cell Walls (7 papers), Enzyme Production and Characterization (7 papers) and Microbial Metabolites in Food Biotechnology (3 papers). Lucie Pařenicová collaborates with scholars based in Netherlands, Italy and United Kingdom. Lucie Pařenicová's co-authors include Martin M. Kater, Lucia Colombo, Gerco C. Angenent, Stefan de Folter, Martin Kieffer, Brendan Davies, Jaap Visser, Jacques Benen, H.C.M. Kester and David S. Horner and has published in prestigious journals such as The Plant Cell, Applied and Environmental Microbiology and Biochemistry.

In The Last Decade

Lucie Pařenicová

16 papers receiving 1.8k citations

Hit Papers

Molecular and Phylogenetic Analyses of the Complete MADS-... 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lucie Pařenicová Netherlands 12 1.6k 1.3k 174 165 99 16 1.8k
Steve Mackay United Kingdom 7 1.1k 0.7× 1.7k 1.4× 138 0.8× 76 0.5× 35 0.4× 8 2.0k
S. R. Bhat India 26 1.3k 0.8× 1.4k 1.1× 184 1.1× 41 0.2× 70 0.7× 96 1.8k
Montserrat Capellades Spain 15 931 0.6× 935 0.7× 167 1.0× 342 2.1× 79 0.8× 19 1.4k
Angelo Viotti Spain 25 1.0k 0.6× 884 0.7× 132 0.8× 113 0.7× 30 0.3× 47 1.5k
Yasuhiko Mukai Japan 33 2.9k 1.8× 1.0k 0.8× 114 0.7× 98 0.6× 61 0.6× 91 3.3k
Sang Ryeol Park South Korea 20 938 0.6× 720 0.6× 161 0.9× 78 0.5× 79 0.8× 58 1.2k
Charles Ainsworth United Kingdom 22 1.2k 0.7× 624 0.5× 192 1.1× 67 0.4× 28 0.3× 44 1.4k
Alessandro Raiola Italy 20 1.6k 1.0× 517 0.4× 100 0.6× 60 0.4× 354 3.6× 31 1.8k
A. F. Croes Netherlands 22 847 0.5× 1.0k 0.8× 81 0.5× 46 0.3× 86 0.9× 63 1.3k
Karen Bolitho New Zealand 7 1.7k 1.1× 1.3k 1.1× 88 0.5× 27 0.2× 52 0.5× 8 2.0k

Countries citing papers authored by Lucie Pařenicová

Since Specialization
Citations

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

Fields of papers citing papers by Lucie Pařenicová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucie Pařenicová

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

All Works

16 of 16 papers shown
1.
Taylor, Steve L., et al.. (2024). In silico evaluation of the potential allergenicity of a fungal biomass from Rhizomucor pusillus for use as a novel food ingredient. Regulatory Toxicology and Pharmacology. 150. 105629–105629. 4 indexed citations
2.
Dommels, Yvonne E.M., et al.. (2023). In silico and in vitro safety assessment of a fungal biomass from Rhizomucor pusillus for use as a novel food ingredient. Food and Chemical Toxicology. 179. 113972–113972. 4 indexed citations
3.
Spiegel, M. van der, et al.. (2020). Safety Evaluation of Fermotein: Allergenicity, Mycotoxin Production, Biochemical Analyses and Microbiology of a Fungal Single-cell Protein Product. European Journal of Nutrition & Food Safety. 146–155. 5 indexed citations
4.
Folter, Stefan de, Richard G. H. Immink, Martin Kieffer, et al.. (2005). Comprehensive Interaction Map of the Arabidopsis MADS Box Transcription Factors. The Plant Cell. 17(5). 1424–1433. 471 indexed citations
5.
Fornara, Fabio, Lucie Pařenicová, Giuseppina Falasca, et al.. (2004). Functional Characterization ofOsMADS18, a Member of theAP1/SQUASubfamily of MADS Box Genes  . PLANT PHYSIOLOGY. 135(4). 2207–2219. 153 indexed citations
6.
Pařenicová, Lucie, Stefan de Folter, Martin Kieffer, et al.. (2003). Molecular and Phylogenetic Analyses of the Complete MADS-Box Transcription Factor Family in Arabidopsis. The Plant Cell. 15(7). 1538–1551. 718 indexed citations breakdown →
7.
Vries, Ronald P. de, Lucie Pařenicová, S.W.A. Hinz, et al.. (2002). The β‐1,4‐endogalactanase A gene from Aspergillus niger is specifically induced on arabinose and galacturonic acid and plays an important role in the degradation of pectic hairy regions. European Journal of Biochemistry. 269(20). 4985–4993. 26 indexed citations
8.
Vries, Ronald P. de, Jenny Jansen, Guillermo Aguilar, et al.. (2002). Expression profiling of pectinolytic genes from Aspergillus niger. FEBS Letters. 530(1-3). 41–47. 81 indexed citations
9.
Pařenicová, Lucie, Pernille Skouboe, Jens C. Frisvad, et al.. (2001). Combined Molecular and Biochemical Approach Identifies Aspergillus japonicus and Aspergillus aculeatus as Two Species. Applied and Environmental Microbiology. 67(2). 521–527. 70 indexed citations
10.
Pařenicová, Lucie, Jacques Benen, H.C.M. Kester, & Jaap Visser. (2000). pgaA and pgaB encode two constitutively expressed endopolygalacturonases of Aspergillus niger. Biochemical Journal. 345(3). 637–644. 67 indexed citations
11.
Pařenicová, Lucie, H.C.M. Kester, Jacques Benen, & Jaap Visser. (2000). Characterization of a novel endopolygalacturonase fromAspergillus nigerwith unique kinetic properties. FEBS Letters. 467(2-3). 333–336. 46 indexed citations
12.
Pařenicová, Lucie, Jacques Benen, H.C.M. Kester, & Jaap Visser. (2000). pgaA and pgaB encode two constitutively expressed endopolygalacturonases of Aspergillus niger. Biochemical Journal. 345(3). 637–637. 33 indexed citations
13.
Benen, Jacques, H.C.M. Kester, Lucie Pařenicová, & Jaap Visser. (2000). Characterization of Aspergillus niger Pectate Lyase A,. Biochemistry. 39(50). 15563–15569. 31 indexed citations
14.
Pařenicová, Lucie, Jacques Benen, H.C.M. Kester, & Jaap Visser. (1998). pgaE encodes a fourth member of the endopolygalacturonase gene family from Aspergillus niger. European Journal of Biochemistry. 251(1-2). 72–80. 83 indexed citations
15.
Pařenicová, Lucie, Jacques Benen, Robert A. Samson, & Jaap Visser. (1997). Evaluation of RFLP analysis of the classification of selected black aspergilli. Mycological Research. 101(7). 810–814. 33 indexed citations
16.
Pařenicová, Lucie, et al.. (1996). Evaluation of restriction fragment length polymorphism for the classification of Aspergillus carbonarius.. Socio-Environmental Systems Modeling. 4. 13–19. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026