Anke Edelmann
- Hepatology top 5%
- Modeling and Simulation top 5%
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 3
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 detection and testing 3
- HIV/AIDS Research and Interventions 3
- Epidemiology top 10%
- Reproductive Medicine top 10%
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- Metabolism, Diabetes, and Cancer 6
- Fungal and yeast genetics research 6
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- HIV Research and Treatment 3
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- Plant nutrient uptake and metabolism 3
- Co-authors
- Jörg HofmannDetlev H. KrügerThomas BergFlorian van BömmelJan SchmidAngela SteinRolf SchwarzerChristian Drosten
- Partner nations
- GermanyUnited StatesPoland
In The Last Decade
Anke Edelmann
34 papers receiving 923 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Hepatology 203
- Modeling and Simulation 91
- Infectious Diseases 351
- Epidemiology 395
- Reproductive Medicine 76
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | Estimating infectiousness throughout SARS-CoV-2 infection coursebreakdown → | 2021 | 283 |
| 2 | 2021 | 3 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 12 | |
| 5 | 2021 | 10 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 5 | |
| 8 | 2014 | 188 | |
| 9 | 2014 | 5 | |
| 10 | 2010 | 21 | |
| 11 | 2009 | 17 | |
| 12 | 2009 | 6 | |
| 13 | 2008 | 5 | |
| 14 | 2007 | 6 | |
| 15 | 2007 | 9 | |
| 16 | 2002 | 6 | |
| 17 | 2001 | 15 | |
| 18 | 1998 | 99 | |
| 19 | 1998 | 16 | |
| 20 | 1996 | 19 |
About Anke Edelmann
Anke Edelmann is a scholar working on Virology, Infectious Diseases, Dermatology, Urology and Epidemiology, having authored 34 papers that have together received 940 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Fungal and yeast genetics research (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers), HIV Research and Treatment (3 papers), Plant nutrient uptake and metabolism (3 papers), SARS-CoV-2 detection and testing (3 papers) and HIV/AIDS Research and Interventions (3 papers). The work is most often cited by research in Hepatology (203 citations), Modeling and Simulation (91 citations), Infectious Diseases (351 citations), Epidemiology (395 citations) and Reproductive Medicine (76 citations). Anke Edelmann has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Jörg Hofmann, Detlev H. Krüger, Thomas Berg, Florian van Bömmel, Jan Schmid, Angela Stein, Rolf Schwarzer, Christian Drosten, Victor M. Corman and Monika Krüger. Their work appears in journals such as Yeast, Journal of Structural Biology, Transfusion, Biochemical Journal and Journal of Clinical Microbiology.
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.