Marion E. Pucher
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
- Plant Science top 10%
- Plant-Microbe Interactions and Immunity
- Mycorrhizal Fungi and Plant Interactions
Papers in
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- Fungal and yeast genetics research 3
- Genomics and Phylogenetic Studies 1
- Polyamine Metabolism and Applications 1
- Enzyme Catalysis and Immobilization 1
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- Plant-Microbe Interactions and Immunity 2
- Plant nutrient uptake and metabolism 1
- Co-authors
- Robert L. Mach (5 shared papers)Astrid R. Mach‐Aigner (5 shared papers)Matthias G. Steiger (2 shared papers)Susanne Zeilinger (3 shared papers)Kurt Brunner (2 shared papers)Norbert Stoppacher (2 shared papers)Barbara Reithner (1 shared paper)Rainer Schuhmacher (2 shared papers)
- Journals
- Applied and Environmental Microbiology (2 papers)Catalysis Today (1 paper)Biotechnology for Biofuels (1 paper)Cornea (1 paper)Fungal Genetics and Biology (1 paper)
- Partner nations
- AustriaBrazilUnited States
In The Last Decade
Marion E. Pucher
9 papers receiving 547 citations
Peers
Comparison fields: 5 of 43
- Biotechnology 100
- Plant Science 240
- Biomedical Engineering 274
- Molecular Biology 362
- Pharmacology 60
Countries citing papers authored by Marion E. Pucher
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 173 | |
| 2 | 2007 | 137 | |
| 3 | 2008 | 61 | |
| 4 | 2010 | 56 | |
| 5 | 2015 | 48 | |
| 6 | 2018 | 40 | |
| 7 | 2017 | 24 | |
| 8 | 2011 | 16 | |
| 9 | A cAMP receptor-like GPCR is involved in Trichoderma atroviride mycoparasitism. | 2009 | 4 |
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 559 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 (100 citations), Plant Science (240 citations), Biomedical Engineering (274 citations), Molecular Biology (362 citations) and Pharmacology (60 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, Susanne Zeilinger, Kurt Brunner, Norbert Stoppacher, Barbara Reithner, Rainer Schuhmacher, Dagmar Denk and Klaus Kratochwill. Their work appears in journals such as Applied and Environmental Microbiology, Catalysis Today, Biotechnology for Biofuels, Cornea and Fungal Genetics and Biology.
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.