Daniela Albrecht
Impact in
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis
- Fungal Biology and Applications
Papers in
-
- Gene expression and cancer classification 4
- Bioinformatics and Genomic Networks 3
- Fungal and yeast genetics research 2
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- Antifungal resistance and susceptibility 3
- Co-authors
- Axel A. Brakhage (9 shared papers)Reinhard Guthke (9 shared papers)Olaf Kniemeyer (8 shared papers)Stefan Priebe (1 shared paper)Jörg Linde (1 shared paper)Jean‐Paul Latgé (1 shared paper)Janka Teutschbein (1 shared paper)Vishukumar Aimanianda (1 shared paper)
- Journals
- PROTEOMICS (3 papers)BMC Genomics (2 papers)Bioinformatics (1 paper)International Journal of Medical Microbiology (1 paper)Fungal Genetics and Biology (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Daniela Albrecht
13 papers receiving 544 citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 168
- Pharmacology 95
- Molecular Biology 298
- Plant Science 150
- Spectroscopy 58
Countries citing papers authored by Daniela Albrecht
This map shows the geographic impact of Daniela Albrecht'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 Daniela Albrecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Albrecht more than expected).
Fields of papers citing papers by Daniela Albrecht
This network shows the impact of papers produced by Daniela Albrecht. 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 Daniela Albrecht. The network helps show where Daniela Albrecht may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Albrecht, 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 | 2010 | 91 | |
| 2 | 2010 | 86 | |
| 3 | 2010 | 82 | |
| 4 | 2010 | 75 | |
| 5 | 2009 | 64 | |
| 6 | 2010 | 53 | |
| 7 | 2008 | 25 | |
| 8 | 2012 | 21 | |
| 9 | 2008 | 18 | |
| 10 | 2007 | 16 | |
| 11 | 2011 | 11 | |
| 12 | 2010 | 5 | |
| 13 | 2009 | 4 | |
| 14 | 2021 | 1 |
About Daniela Albrecht
Daniela Albrecht is a scholar working on Molecular Biology, Infectious Diseases, Pharmacology, Spectroscopy and Plant Science, having authored 14 papers that have together received 552 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Antifungal resistance and susceptibility (3 papers), Bioinformatics and Genomic Networks (3 papers), Fungal Biology and Applications (2 papers), Fungal and yeast genetics research (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Mycotoxins in Agriculture and Food (2 papers). The work is most often cited by research in Infectious Diseases (168 citations), Pharmacology (95 citations), Molecular Biology (298 citations), Plant Science (150 citations) and Spectroscopy (58 citations). Daniela Albrecht has collaborated with scholars based in Germany and United States. Frequent co-authors include Axel A. Brakhage, Reinhard Guthke, Olaf Kniemeyer, Stefan Priebe, Jörg Linde, Jean‐Paul Latgé, Janka Teutschbein, Vishukumar Aimanianda, Cécile Clavaud and Robert Winkler. Their work appears in journals such as PROTEOMICS, BMC Genomics, Bioinformatics, International Journal of Medical Microbiology 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.