Tanja Kubica
- Infectious Diseases top 1%
- Epidemiology top 5%
- Surgery top 5%
- Molecular Biology
- Molecular Medicine top 10%
- Co-authors
- Stefan NiemannSabine Rüsch–GerdesDoris HillemannElvira RichterMichael WeizeneggerKristin KremerCamille LochtFalk Hildebrand
- Topics
- Tuberculosis Research and Epidemiology (18 papers)Mycobacterium research and diagnosis (17 papers)Infectious Diseases and Tuberculosis (8 papers)
In The Last Decade
Tanja Kubica
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 1.0k
- Epidemiology 963
- Surgery 544
- Molecular Biology 165
- Molecular Medicine 61
Countries citing papers authored by Tanja Kubica
This map shows the geographic impact of Tanja Kubica'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 Tanja Kubica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanja Kubica more than expected).
Fields of papers citing papers by Tanja Kubica
This network shows the impact of papers produced by Tanja Kubica. 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 Tanja Kubica. The network helps show where Tanja Kubica may publish in the future.
Co-authorship network of co-authors of Tanja Kubica
This figure shows the co-authorship network connecting the top 25 collaborators of Tanja Kubica. A scholar is included among the top collaborators of Tanja Kubica 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 Tanja Kubica. Tanja Kubica is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 322 | |
| 3 | 25 | |
| 4 | 36 | |
| 5 | 13 | |
| 6 | 96 | |
| 7 | 168 | |
| 8 | Rifampicin and isoniazid resistance mutations in Mycobacterium tuberculosis strains isolated from patients in Kazakhstan. | 46 |
| 9 | 6 | |
| 10 | The Beijing genotype is a major cause of drug-resistant tuberculosis in Kazakhstan. | 41 |
| 11 | 53 | |
| 12 | 55 | |
| 13 | The Beijing genotype is emerging among multidrug-resistant Mycobacterium tuberculosis strains from Germany. | 34 |
| 14 | 13 | |
| 15 | 45 | |
| 16 | 20 | |
| 17 | 22 | |
| 18 | 106 |
About Tanja Kubica
Tanja Kubica is a scholar working on Infectious Diseases, Epidemiology and Surgery, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (18 papers), Mycobacterium research and diagnosis (17 papers) and Infectious Diseases and Tuberculosis (8 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Epidemiology (963 citations) and Molecular Medicine (61 citations). Tanja Kubica has collaborated with scholars based in Germany, Ghana and Uganda. Frequent co-authors include Stefan Niemann, Sabine Rüsch–Gerdes, Doris Hillemann, Elvira Richter, Michael Weizenegger, Kristin Kremer, Camille Locht, Falk Hildebrand, Florian Wölbeling and Philip Supply. Their work appears in journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and Emerging 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.