Anke Edelmann
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
-
- Fungal and yeast genetics research 6
- Metabolism, Diabetes, and Cancer 6
-
- Hepatitis B Virus Studies 2
- Co-authors
- Jörg Hofmann (10 shared papers)Detlev H. Krüger (6 shared papers)Thomas Berg (2 shared papers)Florian van Bömmel (1 shared paper)Jan Schmid (2 shared papers)Rolf Schwarzer (5 shared papers)Victor M. Corman (2 shared papers)Angela Stein (3 shared papers)
- Journals
- Yeast (3 papers)Journal of Clinical Microbiology (2 papers)Transfusion (2 papers)Biochemical Journal (2 papers)Journal of Structural Biology (2 papers)
- Partner nations
- GermanyPolandUnited States
In The Last Decade
Anke Edelmann
34 papers receiving 934 citations
Anke Edelmann's Hit Papers
Peers
Comparison fields: 5 of 97
- Hepatology 134
- Infectious Diseases 300
- Modeling and Simulation 78
- Epidemiology 368
- Reproductive Medicine 63
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 | 286 |
| 2 | 2014 | 194 | |
| 3 | 1998 | 100 | |
| 4 | 2005 | 49 | |
| 5 | 2022 | 32 | |
| 6 | 2007 | 28 | |
| 7 | 2016 | 25 | |
| 8 | 2010 | 21 | |
| 9 | 2009 | 19 | |
| 10 | 2010 | 19 | |
| 11 | 2001 | 16 | |
| 12 | 1998 | 16 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 1999 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2013 | 10 | |
| 18 | 2004 | 9 | |
| 19 | 2007 | 9 | |
| 20 | 2021 | 7 |
About Anke Edelmann
Anke Edelmann is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Genetics and Plant Science, having authored 34 papers that have together received 952 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Plant nutrient uptake and metabolism (3 papers), Pancreatic function and diabetes (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Hepatitis B Virus Studies (2 papers), Antifungal resistance and susceptibility (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Hepatology (134 citations), Infectious Diseases (300 citations), Modeling and Simulation (78 citations), Epidemiology (368 citations) and Reproductive Medicine (63 citations). Anke Edelmann has collaborated with scholars based in Germany, Poland and United States. Frequent co-authors include Jörg Hofmann, Detlev H. Krüger, Thomas Berg, Florian van Bömmel, Jan Schmid, Rolf Schwarzer, Victor M. Corman, Angela Stein, Christian Drosten and Monika Krüger. Their work appears in journals such as Yeast, Journal of Clinical Microbiology, Transfusion, Biochemical Journal and Journal of Structural 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.