Miriam Kesselmeier
- Infectious Diseases top 5%
- Epidemiology
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Critical Care and Intensive Care Medicine top 5%
- Co-authors
- Mathias W. PletzAndré ScheragStefan HagelFrank M. BrunkhorstPetra GastmeierJohannes WinningSebastian WeisMatthias Gondan
- Topics
- Intensive Care Unit Cognitive Disorders (5 papers)Nosocomial Infections in ICU (5 papers)Sepsis Diagnosis and Treatment (5 papers)
- Cited by
- Applied Microbiology and BiotechnologyCritical Care and Intensive Care MedicineGeneral Dentistry
- Journals
- PLoS ONEHepatologyCHEST Journal
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Miriam Kesselmeier
36 papers receiving 850 citations
Peers
Comparison fields: 5 of 129
- Infectious Diseases 260
- Epidemiology 238
- Molecular Biology 160
- Pulmonary and Respiratory Medicine 120
- Critical Care and Intensive Care Medicine 90
Countries citing papers authored by Miriam Kesselmeier
This map shows the geographic impact of Miriam Kesselmeier'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 Miriam Kesselmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Kesselmeier more than expected).
Fields of papers citing papers by Miriam Kesselmeier
This network shows the impact of papers produced by Miriam Kesselmeier. 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 Miriam Kesselmeier. The network helps show where Miriam Kesselmeier may publish in the future.
Co-authorship network of co-authors of Miriam Kesselmeier
This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Kesselmeier. A scholar is included among the top collaborators of Miriam Kesselmeier 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 Miriam Kesselmeier. Miriam Kesselmeier 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 | 7 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 40 | |
| 8 | 21 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 76 | |
| 12 | 32 | |
| 13 | 9 | |
| 14 | 16 | |
| 15 | 13 | |
| 16 | 35 | |
| 17 | 73 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 11 |
About Miriam Kesselmeier
Miriam Kesselmeier is a scholar working on Critical Care and Intensive Care Medicine, Statistics and Probability and Family Practice, having authored 40 papers that have together received 866 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (5 papers), Nosocomial Infections in ICU (5 papers) and Sepsis Diagnosis and Treatment (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (44 citations), Critical Care and Intensive Care Medicine (90 citations) and General Dentistry (28 citations). Miriam Kesselmeier has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Mathias W. Pletz, André Scherag, Stefan Hagel, Frank M. Brunkhorst, Petra Gastmeier, Johannes Winning, Sebastian Weis, Matthias Gondan, Justo Lorenzo Bermejo and Rossella Pellegrino. Their work appears in journals such as PLoS ONE, Hepatology and CHEST Journal.
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.