Birgitta Schweickert
- Infectious Diseases top 10%
- Epidemiology
- General Health Professions top 10%
- Clinical Psychology
- Molecular Medicine top 10%
- Co-authors
- Tim EckmannsUlf B. GöbelAnnette MoterMuna Abu SinElvira RichterAnnett PetrichMarcel FeigNicole Schmidt
- Topics
- Bacterial Identification and Susceptibility Testing (7 papers)Antibiotic Use and Resistance (6 papers)Antibiotic Resistance in Bacteria (4 papers)
In The Last Decade
Birgitta Schweickert
21 papers receiving 511 citations
Peers
Comparison fields: 5 of 74
- Infectious Diseases 188
- Epidemiology 188
- General Health Professions 121
- Clinical Psychology 66
- Molecular Medicine 64
Countries citing papers authored by Birgitta Schweickert
This map shows the geographic impact of Birgitta Schweickert'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 Birgitta Schweickert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Birgitta Schweickert more than expected).
Fields of papers citing papers by Birgitta Schweickert
This network shows the impact of papers produced by Birgitta Schweickert. 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 Birgitta Schweickert. The network helps show where Birgitta Schweickert may publish in the future.
Co-authorship network of co-authors of Birgitta Schweickert
This figure shows the co-authorship network connecting the top 25 collaborators of Birgitta Schweickert. A scholar is included among the top collaborators of Birgitta Schweickert 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 Birgitta Schweickert. Birgitta Schweickert 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 | 4 | |
| 3 | 22 | |
| 4 | 6 | |
| 5 | 156 | |
| 6 | Antibiotikaverbrauch und Antibiotikaresistenz in der Human- und Veterinärmedizin: Überblick über die etablierten nationalen Surveillance-Systeme | 1 |
| 7 | 10 | |
| 8 | 22 | |
| 9 | 5 | |
| 10 | 31 | |
| 11 | 19 | |
| 12 | 26 | |
| 13 | 11 | |
| 14 | 20 | |
| 15 | 14 | |
| 16 | 4 | |
| 17 | 16 | |
| 18 | 71 | |
| 19 | 53 | |
| 20 | 15 |
About Birgitta Schweickert
Birgitta Schweickert is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Molecular Medicine, having authored 22 papers that have together received 533 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (7 papers), Antibiotic Use and Resistance (6 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (61 citations), Molecular Medicine (64 citations) and Infectious Diseases (188 citations). Birgitta Schweickert has collaborated with scholars based in Germany, Sweden and Austria. Frequent co-authors include Tim Eckmanns, Ulf B. Göbel, Annette Moter, Muna Abu Sin, Elvira Richter, Annett Petrich, Marcel Feig, Nicole Schmidt, Joan O’Donnell and Natalia Bustos Sierra. Their work appears in journals such as Journal of Clinical Microbiology, Emerging infectious diseases and Journal of Antimicrobial Chemotherapy.
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.