Marion E. Pucher

685 total citations
9 papers, 462 citations indexed

About

Marion E. Pucher is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Marion E. Pucher has authored 9 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Plant Science. Recurrent topics in Marion E. Pucher's work include Biofuel production and bioconversion (4 papers), Fungal and yeast genetics research (4 papers) and Plant-Microbe Interactions and Immunity (2 papers). Marion E. Pucher is often cited by papers focused on Biofuel production and bioconversion (4 papers), Fungal and yeast genetics research (4 papers) and Plant-Microbe Interactions and Immunity (2 papers). Marion E. Pucher collaborates with scholars based in Austria, Brazil and France. Marion E. Pucher's co-authors include Robert L. Mach, Astrid R. Mach‐Aigner, Matthias G. Steiger, Susanne Zeilinger, Kurt Brunner, Norbert Stoppacher, Rainer Schuhmacher, Barbara Reithner, Markus Omann and Klaus Kratochwill and has published in prestigious journals such as Applied and Environmental Microbiology, Catalysis Today and BMC Genomics.

In The Last Decade

Marion E. Pucher

9 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marion E. Pucher Austria	8	334	251	203	89	55	9	462
Geoffrey P. Lin Cereghino United States	6	315 0.9×	73 0.3×	93 0.5×	95 1.1×	20 0.4×	6	431
Rob Joosten Netherlands	8	331 1.0×	204 0.8×	321 1.6×	160 1.8×	16 0.3×	9	584
Stephen Diener United States	7	355 1.1×	303 1.2×	234 1.2×	157 1.8×	22 0.4×	7	542
Alice Rassinger Austria	8	338 1.0×	248 1.0×	95 0.5×	79 0.9×	51 0.9×	11	388
Setsuzo Tada Japan	10	428 1.3×	179 0.7×	134 0.7×	274 3.1×	52 0.9×	11	541
Laetitia Poidevin France	10	246 0.7×	238 0.9×	196 1.0×	135 1.5×	20 0.4×	13	411
Lukas Sturmberger Austria	6	391 1.2×	100 0.4×	62 0.3×	54 0.6×	22 0.4×	7	428
Franziska Wanka Austria	7	344 1.0×	107 0.4×	77 0.4×	80 0.9×	128 2.3×	7	423
Jonas Ramoni Austria	7	376 1.1×	389 1.5×	127 0.6×	173 1.9×	39 0.7×	8	508
Pallavi A. Phatale United States	7	331 1.0×	139 0.6×	254 1.3×	43 0.5×	100 1.8×	7	457

Countries citing papers authored by Marion E. Pucher

Since Specialization

Citations

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

Fields of papers citing papers by Marion E. Pucher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marion E. Pucher. 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 Marion E. Pucher. The network helps show where Marion E. Pucher may publish in the future.

Co-authorship network of co-authors of Marion E. Pucher

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

All Works

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9 of 9 papers shown

Pucher, Marion E., et al.. (2018). A long noncoding RNA promotes cellulase expression in Trichoderma reesei. Biotechnology for Biofuels. 11(1). 78–78. 36 indexed citations

Schuerer, Nadine, Elisabeth Stein, Aleksandra Inić‐Kanada, et al.. (2017). Implications for Ophthalmic Formulations: Ocular Buffers Show Varied Cytotoxic Impact on Human Corneal–Limbal and Human Conjunctival Epithelial Cells. Cornea. 36(6). 712–718. 22 indexed citations

Mello-de-Sousa, Thiago Machado, Alice Rassinger, Marion E. Pucher, et al.. (2015). The impact of chromatin remodelling on cellulase expression in Trichoderma reesei. BMC Genomics. 16(1). 588–588. 37 indexed citations

Pucher, Marion E., Matthias G. Steiger, Robert L. Mach, & Astrid R. Mach‐Aigner. (2011). A modified expression of the major hydrolase activator in Hypocrea jecorina (Trichoderma reesei) changes enzymatic catalysis of biopolymer degradation. Catalysis Today. 167(1). 122–128. 15 indexed citations

Mach‐Aigner, Astrid R., Marion E. Pucher, & Robert L. Mach. (2010). d -Xylose as a Repressor or Inducer of Xylanase Expression in Hypocrea jecorina ( Trichoderma reesei ). Applied and Environmental Microbiology. 76(6). 1770–1776. 51 indexed citations

Omann, Markus, Sylvia Lehner, Marizela Delic, et al.. (2009). A cAMP receptor-like GPCR is involved in Trichoderma atroviride mycoparasitism.. 43. 105–108. 3 indexed citations

Brunner, Kurt, Markus Omann, Marion E. Pucher, et al.. (2008). Trichoderma G protein-coupled receptors: functional characterisation of a cAMP receptor-like protein from Trichoderma atroviride. Current Genetics. 54(6). 283–299. 52 indexed citations

Mach‐Aigner, Astrid R., et al.. (2008). Transcriptional Regulation of xyr1 , Encoding the Main Regulator of the Xylanolytic and Cellulolytic Enzyme System in Hypocrea jecorina. Applied and Environmental Microbiology. 74(21). 6554–6562. 153 indexed citations

Reithner, Barbara, Rainer Schuhmacher, Norbert Stoppacher, et al.. (2007). Signaling via the Trichoderma atroviride mitogen-activated protein kinase Tmk1 differentially affects mycoparasitism and plant protection. Fungal Genetics and Biology. 44(11). 1123–1133. 93 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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