Stephani Schmitz
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 detection and testing 4
- COVID-19 Clinical Research Studies 1
- Genetics 1
- Chronic Lymphocytic Leukemia Research 1
- Co-authors
- Stephan Katzenschlager (5 shared papers)Claudia Maria Denkinger (5 shared papers)Jan Larmann (3 shared papers)Sergio Carmona (4 shared papers)Maurizio Grilli (4 shared papers)Jilian A. Sacks (4 shared papers)Aurélien Macé (4 shared papers)Stefano Ongarello (4 shared papers)
- Journals
- PLoS Medicine (2 papers)PLoS ONE (1 paper)Scientific Reports (1 paper)Virology Journal (1 paper)Blood Advances (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Stephani Schmitz
7 papers receiving 288 citations
Peers
Comparison fields: 5 of 46
- Infectious Diseases 218
- Modeling and Simulation 25
- Biomedical Engineering 77
- Health Informatics 2
- Radiology, Nuclear Medicine and Imaging 28
Countries citing papers authored by Stephani Schmitz
This map shows the geographic impact of Stephani Schmitz'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 Stephani Schmitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephani Schmitz more than expected).
Fields of papers citing papers by Stephani Schmitz
This network shows the impact of papers produced by Stephani Schmitz. 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 Stephani Schmitz. The network helps show where Stephani Schmitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephani Schmitz, 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 | 2021 | 178 | |
| 2 | 2021 | 44 | |
| 3 | 2022 | 42 | |
| 4 | 2023 | 13 | |
| 5 | 2022 | 8 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 2 |
About Stephani Schmitz
Stephani Schmitz is a scholar working on Infectious Diseases, Genetics, Hematology, Oncology and Biomedical Engineering, having authored 7 papers that have together received 291 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (4 papers), Acute Myeloid Leukemia Research (1 paper), COVID-19 Clinical Research Studies (1 paper), Biosensors and Analytical Detection (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Cancer-related Molecular Pathways (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Infectious Diseases (218 citations), Modeling and Simulation (25 citations), Biomedical Engineering (77 citations), Health Informatics (2 citations) and Radiology, Nuclear Medicine and Imaging (28 citations). Stephani Schmitz has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Stephan Katzenschlager, Claudia Maria Denkinger, Jan Larmann, Sergio Carmona, Maurizio Grilli, Jilian A. Sacks, Aurélien Macé, Stefano Ongarello, Lukas E. Brümmer and Mary Gaeddert. Their work appears in journals such as PLoS Medicine, PLoS ONE, Scientific Reports, Virology Journal and Blood Advances.
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.