Michaela Diercke
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Health and Medical Studies 13
- Epidemiology 12
- Data-Driven Disease Surveillance 6
- Co-authors
- Niels Michalski (9 shared papers)Jens Hoebel (9 shared papers)Osamah Hamouda (7 shared papers)Morten Wahrendorf (7 shared papers)Enno Nowossadeck (7 shared papers)Benjamin Wachtler (8 shared papers)Ute Rexroth (6 shared papers)Alexander Ullrich (7 shared papers)
- Journals
- Eurosurveillance (3 papers)Epidemiology and Infection (3 papers)PLoS ONE (2 papers)Journal of Hypertension (1 paper)JMIR Public Health and Surveillance (1 paper)
- Partner nations
- GermanySwedenUnited States
In The Last Decade
Michaela Diercke
42 papers receiving 761 citations
Peers
Comparison fields: 5 of 108
- Modeling and Simulation 187
- Infectious Diseases 258
- Health 108
- Clinical Psychology 177
- Applied Microbiology and Biotechnology 13
Countries citing papers authored by Michaela Diercke
This map shows the geographic impact of Michaela Diercke'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 Michaela Diercke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Diercke more than expected).
Fields of papers citing papers by Michaela Diercke
This network shows the impact of papers produced by Michaela Diercke. 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 Michaela Diercke. The network helps show where Michaela Diercke may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaela Diercke, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 127 | |
| 2 | 2020 | 110 | |
| 3 | 2021 | 75 | |
| 4 | 2022 | 54 | |
| 5 | 2021 | 51 | |
| 6 | 2010 | 36 | |
| 7 | 2020 | 35 | |
| 8 | 2021 | 34 | |
| 9 | 2021 | 26 | |
| 10 | 2020 | 24 | |
| 11 | 2013 | 21 | |
| 12 | 2020 | 18 | |
| 13 | 2020 | 17 | |
| 14 | 2021 | 17 | |
| 15 | 2022 | 10 | |
| 16 | 2015 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2018 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2020 | 9 |
About Michaela Diercke
Michaela Diercke is a scholar working on General Health Professions, Epidemiology, Modeling and Simulation, Infectious Diseases and Immunology, having authored 45 papers that have together received 788 indexed citations. Recurring topics across this work include Health and Medical Studies (13 papers), COVID-19 epidemiological studies (12 papers), Immune responses and vaccinations (7 papers), Data-Driven Disease Surveillance (6 papers), COVID-19 and healthcare impacts (5 papers), COVID-19 Clinical Research Studies (4 papers), COVID-19 and Mental Health (4 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Modeling and Simulation (187 citations), Infectious Diseases (258 citations), Health (108 citations), Clinical Psychology (177 citations) and Applied Microbiology and Biotechnology (13 citations). Michaela Diercke has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Niels Michalski, Jens Hoebel, Osamah Hamouda, Morten Wahrendorf, Enno Nowossadeck, Benjamin Wachtler, Ute Rexroth, Alexander Ullrich, Claudia Hövener and Silke Buda. Their work appears in journals such as Eurosurveillance, Epidemiology and Infection, PLoS ONE, Journal of Hypertension and JMIR Public Health and Surveillance.
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.