Marie Luisa Schmidt
- Infectious Diseases top 2%
- Biomedical Engineering
- Molecular Biology
- Modeling and Simulation top 2%
- Epidemiology
- Co-authors
- Victor M. CormanChristian DrostenBarbara MühlemannAndi KrumbholzMarta ŻuchowskiTobias BleickerThomas HoenenMarcel A. Müller
- Topics
- SARS-CoV-2 and COVID-19 Research (8 papers)Viral Infections and Vectors (7 papers)SARS-CoV-2 detection and testing (7 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Marie Luisa Schmidt
14 papers receiving 690 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Infectious Diseases 592
- Biomedical Engineering 190
- Molecular Biology 127
- Modeling and Simulation 120
- Epidemiology 107
Countries citing papers authored by Marie Luisa Schmidt
This map shows the geographic impact of Marie Luisa Schmidt'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 Marie Luisa Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Luisa Schmidt more than expected).
Fields of papers citing papers by Marie Luisa Schmidt
This network shows the impact of papers produced by Marie Luisa Schmidt. 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 Marie Luisa Schmidt. The network helps show where Marie Luisa Schmidt may publish in the future.
Co-authorship network of co-authors of Marie Luisa Schmidt
This figure shows the co-authorship network connecting the top 25 collaborators of Marie Luisa Schmidt. A scholar is included among the top collaborators of Marie Luisa Schmidt 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 Marie Luisa Schmidt. Marie Luisa Schmidt 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 | Humoral immune escape by current SARS-CoV-2 variants BA.2.86 and JN.1, December 2023breakdown → | 37 |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | Estimating infectiousness throughout SARS-CoV-2 infection coursebreakdown → | 283 |
| 8 | 47 | |
| 9 | Comparison of seven commercial SARS-CoV-2 rapid point-of-care antigen tests: a single-centre laboratory evaluation studybreakdown → | 226 |
| 10 | 13 | |
| 11 | 9 | |
| 12 | 29 | |
| 13 | 9 | |
| 14 | 10 | |
| 15 | 11 | |
| 16 | 22 |
About Marie Luisa Schmidt
Marie Luisa Schmidt is a scholar working on Infectious Diseases, Modeling and Simulation and Hepatology, having authored 16 papers that have together received 704 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Viral Infections and Vectors (7 papers) and SARS-CoV-2 detection and testing (7 papers). The work is most often cited by research in Infectious Diseases (592 citations), Modeling and Simulation (120 citations) and General Dentistry (11 citations). Marie Luisa Schmidt has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Victor M. Corman, Christian Drosten, Barbara Mühlemann, Andi Krumbholz, Marta Żuchowski, Tobias Bleicker, Thomas Hoenen, Marcel A. Müller, Terry C. Jones and Elisabeth Möncke‐Buchner. Their work appears in journals such as Science, Nature Communications and The Journal of Infectious Diseases.
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.