Marion E. Pucher

688 citations
9 papers · 464 · h-index 8

Impact in

Papers in

    • Fungal and yeast genetics research 3
    • Genomics and Phylogenetic Studies 1
    • Polyamine Metabolism and Applications 1
    • Enzyme Catalysis and Immobilization 1
    • Plant-Microbe Interactions and Immunity 2
    • Plant nutrient uptake and metabolism 1

Marion E. Pucher

9 papers receiving 457 citations

Peers

Marion E. Pucher
Comparison fields: 5 of 42
  • Biotechnology 77
  • Biomedical Engineering 235
  • Plant Science 187
  • Molecular Biology 294
  • Endocrinology 16
Replace Doug Brown with:
Doug Brown United States
Alice Rassinger Austria
Stephen Diener United States
Laetitia Poidevin United States
Paula Fagundes de Gouvêa Brazil
Rob Joosten Netherlands
Geoffrey P. Lin Cereghino United States
Jonas Ramoni Austria
Scott Fotheringham United States
Lukas Sturmberger Austria
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Marion E. Pucher, 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 Marion E. Pucher Line = papers co-authored together Marion E. Pucher links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2008155
2 200793
3 201051
4 200850
5 201538
6 201836
7 201723
8 201115
9
A cAMP receptor-like GPCR is involved in Trichoderma atroviride mycoparasitism.
20093

About Marion E. Pucher

Marion E. Pucher is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Pharmacology and Endocrinology, having authored 9 papers that have together received 464 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (3 papers), Biofuel production and bioconversion (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Genomics and Phylogenetic Studies (1 paper), Plant and Fungal Interactions Research (1 paper), Polyamine Metabolism and Applications (1 paper), Enzyme Catalysis and Immobilization (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Biotechnology (77 citations), Biomedical Engineering (235 citations), Plant Science (187 citations), Molecular Biology (294 citations) and Endocrinology (16 citations). Marion E. Pucher has collaborated with scholars based in Austria, Brazil and United States. Frequent co-authors include Robert L. Mach, Astrid R. Mach‐Aigner, Matthias G. Steiger, Kurt Brunner, Susanne Zeilinger, Barbara Reithner, Norbert Stoppacher, Rainer Schuhmacher, Marizela Delic and Irina S. Druzhinina. Their work appears in journals such as Applied and Environmental Microbiology, Cornea, Current Genetics, Catalysis Today and BMC Genomics.

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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