Anke Herrmann
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- Hepatitis C virus research 3
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 4
- Co-authors
- Olympia Evdoxia Anastasiou (6 shared papers)Ulf Dittmer (5 shared papers)Adalbert Krawczyk (3 shared papers)Johannes Korth (4 shared papers)Michael Jahn (2 shared papers)Andreas Kribben (2 shared papers)Sebastian Cordes (2 shared papers)Benjamin Wilde (2 shared papers)
- Journals
- Annals of the New York Academy of Sciences (1 paper)JDDG Journal der Deutschen Dermatologischen Gesellschaft (1 paper)Journal of Clinical Virology (1 paper)Journal of Medical Microbiology (1 paper)Annals of Oncology (1 paper)
- Partner nations
- GermanyUnited StatesSlovakia
In The Last Decade
Anke Herrmann
17 papers receiving 617 citations
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 67
- Infectious Diseases 222
- Health Informatics 17
- Oncology 193
- Dermatology 36
Countries citing papers authored by Anke Herrmann
This map shows the geographic impact of Anke Herrmann'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 Herrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Herrmann more than expected).
Fields of papers citing papers by Anke Herrmann
This network shows the impact of papers produced by Anke Herrmann. 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 Herrmann. The network helps show where Anke Herrmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke Herrmann, 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 | 2020 | 258 | |
| 2 | 2020 | 179 | |
| 3 | 2020 | 39 | |
| 4 | 2020 | 38 | |
| 5 | 2018 | 25 | |
| 6 | 2007 | 22 | |
| 7 | 2012 | 16 | |
| 8 | 2021 | 12 | |
| 9 | 2019 | 11 | |
| 10 | 2000 | 11 | |
| 11 | 2023 | 7 | |
| 12 | 2017 | 6 | |
| 13 | 2004 | 5 | |
| 14 | 2018 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2001 | 1 | |
| 17 | 2021 | 1 |
About Anke Herrmann
Anke Herrmann is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Oncology and Immunology, having authored 17 papers that have together received 635 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers), Liver Disease Diagnosis and Treatment (4 papers), SARS-CoV-2 detection and testing (4 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers), Cutaneous Melanoma Detection and Management (2 papers) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Modeling and Simulation (67 citations), Infectious Diseases (222 citations), Health Informatics (17 citations), Oncology (193 citations) and Dermatology (36 citations). Anke Herrmann has collaborated with scholars based in Germany, United States and Slovakia. Frequent co-authors include Olympia Evdoxia Anastasiou, Ulf Dittmer, Adalbert Krawczyk, Johannes Korth, Michael Jahn, Andreas Kribben, Sebastian Cordes, Benjamin Wilde, Birgit Ross and Monika Lindemann. Their work appears in journals such as Annals of the New York Academy of Sciences, JDDG Journal der Deutschen Dermatologischen Gesellschaft, Journal of Clinical Virology, Journal of Medical Microbiology and Annals of Oncology.
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.