Daniela Albrecht
Impact in
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility
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- Fungal Biology and Applications
- Microbial Natural Products and Biosynthesis
Papers in
-
- Gene expression and cancer classification 4
- Fungal and yeast genetics research 3
- Bioinformatics and Genomic Networks 2
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- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Axel A. Brakhage (8 shared papers)Reinhard Guthke (7 shared papers)Olaf Kniemeyer (7 shared papers)Jörg Linde (1 shared paper)Stefan Priebe (1 shared paper)Janka Teutschbein (1 shared paper)Jean‐Paul Latgé (1 shared paper)Cécile Clavaud (1 shared paper)
- Journals
- PROTEOMICS (3 papers)BMC Genomics (2 papers)Journal of Proteome Research (1 paper)International Journal of Medical Microbiology (1 paper)Bioinformatics (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Daniela Albrecht
11 papers receiving 500 citations
Peers
Comparison fields: 5 of 74
- Infectious Diseases 163
- Pharmacology 88
- Molecular Biology 309
- Plant Science 155
- Cell Biology 56
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 | 85 | |
| 2 | 2010 | 83 | |
| 3 | 2010 | 78 | |
| 4 | 2010 | 68 | |
| 5 | 2009 | 64 | |
| 6 | 2010 | 52 | |
| 7 | 2008 | 25 | |
| 8 | 2012 | 21 | |
| 9 | 2007 | 14 | |
| 10 | 2011 | 10 | |
| 11 | 2010 | 5 | |
| 12 | 2021 | 0 |
About Daniela Albrecht
Daniela Albrecht is a scholar working on Molecular Biology, Spectroscopy, Infectious Diseases, Pharmacology and Plant Science, having authored 12 papers that have together received 505 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Fungal and yeast genetics research (3 papers), Mycotoxins in Agriculture and Food (2 papers), Antifungal resistance and susceptibility (2 papers), Bioinformatics and Genomic Networks (2 papers), NF-κB Signaling Pathways (2 papers) and Fungal Biology and Applications (2 papers). The work is most often cited by research in Infectious Diseases (163 citations), Pharmacology (88 citations), Molecular Biology (309 citations), Plant Science (155 citations) and Cell Biology (56 citations). Daniela Albrecht has collaborated with scholars based in Germany and United States. Frequent co-authors include Axel A. Brakhage, Reinhard Guthke, Olaf Kniemeyer, Jörg Linde, Stefan Priebe, Janka Teutschbein, Jean‐Paul Latgé, Cécile Clavaud, Vishukumar Aimanianda and Marc Seidler. Their work appears in journals such as PROTEOMICS, BMC Genomics, Journal of Proteome Research, International Journal of Medical Microbiology and Bioinformatics.
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.