Michael Tscherner
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
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- Fungal Infections and Studies
- Pneumocystis jirovecii pneumonia detection and treatment
Papers in ⓘ
-
- Antifungal resistance and susceptibility 19
- Epidemiology 16
- Fungal Infections and Studies 15
- Co-authors
- Karl Kuchler (20 shared papers)Sabrina Jenull (9 shared papers)Tobias Schwarzmüller (3 shared papers)Neeraj Chauhan (5 shared papers)Florian Zwolanek (3 shared papers)Denes Hnisz (2 shared papers)Andriy Petryshyn (5 shared papers)Raju Shivarathri (3 shared papers)
- Journals
- Scientific Reports (2 papers)Cell Reports (2 papers)iScience (1 paper)Molecular Microbiology (1 paper)Journal of Bacteriology (1 paper)
- Partner nations
- AustriaUnited StatesAustralia
In The Last Decade
Michael Tscherner
22 papers receiving 479 citations
Peers
Comparison fields: 5 of 60
- Infectious Diseases 304
- Epidemiology 234
- Microbiology 30
- Food Science 51
- Molecular Medicine 14
Countries citing papers authored by Michael Tscherner
This map shows the geographic impact of Michael Tscherner'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 Michael Tscherner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Tscherner more than expected).
Fields of papers citing papers by Michael Tscherner
This network shows the impact of papers produced by Michael Tscherner. 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 Michael Tscherner. The network helps show where Michael Tscherner may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Tscherner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 55 | |
| 2 | 2011 | 49 | |
| 3 | 2015 | 46 | |
| 4 | 2019 | 44 | |
| 5 | 2020 | 43 | |
| 6 | 2012 | 39 | |
| 7 | 2007 | 27 | |
| 8 | 2019 | 22 | |
| 9 | 2021 | 21 | |
| 10 | 2017 | 21 | |
| 11 | 2020 | 21 | |
| 12 | 2016 | 20 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2021 | 11 | |
| 16 | 2015 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2011 | 5 | |
| 19 | 2016 | 3 | |
| 20 | 2015 | 3 |
About Michael Tscherner
Michael Tscherner is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Pharmacology and Oncology, having authored 22 papers that have together received 479 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (19 papers), Fungal Infections and Studies (15 papers), Fungal and yeast genetics research (5 papers), Probiotics and Fermented Foods (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Antimicrobial Peptides and Activities (2 papers), Peptidase Inhibition and Analysis (2 papers) and Plant tissue culture and regeneration (1 paper). The work is most often cited by research in Infectious Diseases (304 citations), Epidemiology (234 citations), Microbiology (30 citations), Food Science (51 citations) and Molecular Medicine (14 citations). Michael Tscherner has collaborated with scholars based in Austria, United States and Australia. Frequent co-authors include Karl Kuchler, Sabrina Jenull, Tobias Schwarzmüller, Neeraj Chauhan, Florian Zwolanek, Denes Hnisz, Andriy Petryshyn, Raju Shivarathri, Fabian Istel and Andrea Wagner. Their work appears in journals such as Scientific Reports, Cell Reports, iScience, Molecular Microbiology and Journal of Bacteriology.
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.