Markus Schrettl

4.1k citations
37 papers · 3.2k · h-index 29

Impact in

    • Antifungal resistance and susceptibility
    • Fungal Biology and Applications
    • Microbial Natural Products and Biosynthesis

Papers in

Markus Schrettl

37 papers receiving 3.2k citations

Peers

Markus Schrettl
Comparison fields: 5 of 104
  • Infectious Diseases 1.2k
  • Pharmacology 850
  • Plant Science 1.0k
  • Molecular Biology 1.5k
  • Small Animals 126
Replace Matthias Brock with:
Matthias Brock Germany
Elaine Bignell United Kingdom
Martin Eisendle Austria
Célia Maria de Almeida Soares Brazil
Eliana Barreto‐Bergter Brazil
Joachim F. Ernst Germany
Robert Żarnowski United States
Tamás Papp Hungary
Janet Quinn United Kingdom
Janyce A. Sugui United States
Markus Schrettl relative to Matthias Brock Germany Matthias Brock's profile →
Citations per field
00.5×1.5×2.5×
Matthias Brock · 1×
Citations per year

Countries citing papers authored by Markus Schrettl

Since Specialization
Citations

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

Fields of papers citing papers by Markus Schrettl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004408
2 2007333
3 2010240
4 2008226
5 2008202
6 2008146
7 2010146
8 2011115
9 2006105
10 2008102
11 201299
12 200991
13 201178
14 201177
15 201374
16 200766
17 201366
18 201163
19 201257
20 201056

About Markus Schrettl

Markus Schrettl is a scholar working on Molecular Biology, Infectious Diseases, Pharmacology, Plant Science and Oncology, having authored 37 papers that have together received 3.2k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (18 papers), Fungal and yeast genetics research (14 papers), Microbial Natural Products and Biosynthesis (9 papers), Peptidase Inhibition and Analysis (7 papers), Fungal Biology and Applications (7 papers), Bacterial biofilms and quorum sensing (5 papers), Mycotoxins in Agriculture and Food (5 papers) and Trace Elements in Health (4 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Pharmacology (850 citations), Plant Science (1.0k citations), Molecular Biology (1.5k citations) and Small Animals (126 citations). Markus Schrettl has collaborated with scholars based in Austria, United Kingdom and United States. Frequent co-authors include Hubertus Haas, Elaine Bignell, Ken Haynes, Martin Eisendle, Herbert N. Arst, Michael Blatzer, Thomas R. Rogers, Omar Loss, Ernst R. Werner and Christoph Jöchl. Their work appears in journals such as Applied and Environmental Microbiology, PLoS Pathogens, Eukaryotic Cell, Molecular Microbiology and Journal of Biotechnology.

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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