Mirjam Kretzschmar
- Epidemiology top 0.2%
- Infectious Diseases top 0.2%
- Modeling and Simulation top 0.05%
- General Health Professions top 0.2%
- Public Health, Environmental and Occupational Health top 0.5%
- Co-authors
- Martina MorrisPeter TeunisJacco WallingaAlessandro CassiniRafael MikolajczykGanna RozhnovaArie H. HavelaarMichiel van Boven
- Topics
- COVID-19 epidemiological studies (74 papers)HIV, Drug Use, Sexual Risk (55 papers)HIV/AIDS Research and Interventions (47 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Mirjam Kretzschmar
281 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Epidemiology 4.7k
- Infectious Diseases 3.8k
- Modeling and Simulation 2.5k
- General Health Professions 2.4k
- Public Health, Environmental and Occupational Health 1.6k
Countries citing papers authored by Mirjam Kretzschmar
This map shows the geographic impact of Mirjam Kretzschmar'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 Mirjam Kretzschmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirjam Kretzschmar more than expected).
Fields of papers citing papers by Mirjam Kretzschmar
This network shows the impact of papers produced by Mirjam Kretzschmar. 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 Mirjam Kretzschmar. The network helps show where Mirjam Kretzschmar may publish in the future.
Co-authorship network of co-authors of Mirjam Kretzschmar
This figure shows the co-authorship network connecting the top 25 collaborators of Mirjam Kretzschmar. A scholar is included among the top collaborators of Mirjam Kretzschmar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mirjam Kretzschmar. Mirjam Kretzschmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 15 | |
| 13 | 6 | |
| 14 | Impact of infectious diseases on population health using incidence-based disability-adjusted life years (DALYs): results from the Burden of Communicable Diseases in Europe study, European Union and European Economic Area countries, 2009 to 2013breakdown → | 216 |
| 15 | 25 | |
| 16 | 3 | |
| 17 | Syndroomsurveillance: een vinger aan de pols van de volksgezondheid. | 2 |
| 18 | 14 | |
| 19 | 58 | |
| 20 | 50 |
About Mirjam Kretzschmar
Mirjam Kretzschmar is a scholar working on Modeling and Simulation, Microbiology and Infectious Diseases, having authored 291 papers that have together received 11.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (74 papers), HIV, Drug Use, Sexual Risk (55 papers) and HIV/AIDS Research and Interventions (47 papers). The work is most often cited by research in Modeling and Simulation (2.5k citations), Microbiology (1.3k citations) and Infectious Diseases (3.8k citations). Mirjam Kretzschmar has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Martina Morris, Peter Teunis, Jacco Wallinga, Alessandro Cassini, Rafael Mikolajczyk, Ganna Rozhnova, Arie H. Havelaar, Michiel van Boven, Martin Bootsma and Maarten J. Postma. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.
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.