Anke Edelmann
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Antifungal resistance and susceptibility
Papers in
-
- Antifungal resistance and susceptibility 2
- Parvovirus B19 Infection Studies 2
- Virology 3
- HIV Research and Treatment 3
- Co-authors
- Jörg Hofmann (11 shared papers)Detlev H. Krüger (6 shared papers)Thomas Berg (2 shared papers)Florian van Bömmel (1 shared paper)Rolf Schwarzer (5 shared papers)Victor Max Corman (2 shared papers)Angela Stein (3 shared papers)Christian Drosten (2 shared papers)
- Journals
- Transfusion (3 papers)Yeast (3 papers)Journal of Clinical Microbiology (2 papers)Journal of Structural Biology (2 papers)RMD Open (1 paper)
- Partner nations
- GermanyUnited StatesNew Zealand
In The Last Decade
Anke Edelmann
34 papers receiving 1.1k citations
Anke Edelmann's Hit Papers
Peers
Comparison fields: 5 of 87
- Modeling and Simulation 123
- Infectious Diseases 388
- Epidemiology 337
- General Dentistry 4
- Reproductive Medicine 91
Countries citing papers authored by Anke Edelmann
This map shows the geographic impact of Anke Edelmann'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 Anke Edelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Edelmann more than expected).
Fields of papers citing papers by Anke Edelmann
This network shows the impact of papers produced by Anke Edelmann. 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 Anke Edelmann. The network helps show where Anke Edelmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke Edelmann, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Estimating infectiousness throughout SARS-CoV-2 infection course Hit paper breakdown → | 2021 | 468 |
| 2 | 2014 | 216 | |
| 3 | 1998 | 101 | |
| 4 | 2005 | 51 | |
| 5 | 2022 | 35 | |
| 6 | 2007 | 28 | |
| 7 | 2016 | 25 | |
| 8 | 2010 | 21 | |
| 9 | 2009 | 19 | |
| 10 | 2010 | 19 | |
| 11 | 1998 | 17 | |
| 12 | 2014 | 16 | |
| 13 | 2001 | 14 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 13 | |
| 16 | 2021 | 12 | |
| 17 | 1999 | 11 | |
| 18 | 2004 | 11 | |
| 19 | 2013 | 10 | |
| 20 | 2007 | 9 |
About Anke Edelmann
Anke Edelmann is a scholar working on Infectious Diseases, Virology, Epidemiology, Structural Biology and Rheumatology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (6 papers), Enzyme Structure and Function (5 papers), Biochemical and Molecular Research (4 papers), HIV Research and Treatment (3 papers), Protein Structure and Dynamics (3 papers), Antifungal resistance and susceptibility (2 papers), Parvovirus B19 Infection Studies (2 papers) and Bacterial Identification and Susceptibility Testing (2 papers). The work is most often cited by research in Modeling and Simulation (123 citations), Infectious Diseases (388 citations), Epidemiology (337 citations), General Dentistry (4 citations) and Reproductive Medicine (91 citations). Anke Edelmann has collaborated with scholars based in Germany, United States and New Zealand. Frequent co-authors include Jörg Hofmann, Detlev H. Krüger, Thomas Berg, Florian van Bömmel, Rolf Schwarzer, Victor Max Corman, Angela Stein, Christian Drosten, Peter Menzel and Tobias Bleicker. Their work appears in journals such as Transfusion, Yeast, Journal of Clinical Microbiology, Journal of Structural Biology and RMD Open.
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.