Tanja Ducomble
Impact in
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- Antibiotic Use and Resistance
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Antibiotic Resistance in Bacteria 2
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- Viral gastroenteritis research and epidemiology 1
- Tuberculosis Research and Epidemiology 1
- Co-authors
- Tim Eckmanns (4 shared papers)Sebastian Haller (3 shared papers)C. Suetens (2 shared papers)Alessandro Cassini (2 shared papers)Edward Velasco (2 shared papers)Thomas Harder (2 shared papers)Bettina Weiß (2 shared papers)Muna Abu Sin (2 shared papers)
- Journals
- Eurosurveillance (3 papers)Journal of Hospital Infection (1 paper)The Lancet Infectious Diseases (1 paper)Emerging infectious diseases (1 paper)American Journal of Infection Control (1 paper)
- Partner nations
- GermanySwedenSwitzerland
In The Last Decade
Tanja Ducomble
8 papers receiving 845 citations
Tanja Ducomble's Hit Papers
Peers
Comparison fields: 5 of 97
- Applied Microbiology and Biotechnology 78
- Molecular Medicine 117
- Critical Care and Intensive Care Medicine 82
- Infectious Diseases 287
- Endocrinology 39
Countries citing papers authored by Tanja Ducomble
This map shows the geographic impact of Tanja Ducomble'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 Ducomble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanja Ducomble more than expected).
Fields of papers citing papers by Tanja Ducomble
This network shows the impact of papers produced by Tanja Ducomble. 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 Ducomble. The network helps show where Tanja Ducomble may publish in the future.
Co-authors
The 25 scholars most cited alongside Tanja Ducomble, 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 | Burden of Six Healthcare-Associated Infections on European Population Health: Estimating Incidence-Based Disability-Adjusted Life Years through a Population Prevalence-Based Modelling Study Hit paper breakdown → | 2016 | 489 |
| 2 | 2014 | 117 | |
| 3 | 2014 | 77 | |
| 4 | 2013 | 66 | |
| 5 | 2012 | 39 | |
| 6 | 2014 | 35 | |
| 7 | 2016 | 30 | |
| 8 | 2020 | 23 |
About Tanja Ducomble
Tanja Ducomble is a scholar working on Molecular Medicine, Infectious Diseases, Agronomy and Crop Science, Modeling and Simulation and Health, having authored 8 papers that have together received 876 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (2 papers), Antibiotic Resistance in Bacteria (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Vaccine Coverage and Hesitancy (1 paper), COVID-19 epidemiological studies (1 paper), Neonatal and Maternal Infections (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (78 citations), Molecular Medicine (117 citations), Critical Care and Intensive Care Medicine (82 citations), Infectious Diseases (287 citations) and Endocrinology (39 citations). Tanja Ducomble has collaborated with scholars based in Germany, Sweden and Switzerland. Frequent co-authors include Tim Eckmanns, Sebastian Haller, C. Suetens, Alessandro Cassini, Edward Velasco, Thomas Harder, Bettina Weiß, Muna Abu Sin, Hans-Peter Blank and Anja Klingeberg. Their work appears in journals such as Eurosurveillance, Journal of Hospital Infection, The Lancet Infectious Diseases, Emerging infectious diseases and American Journal of Infection Control.
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.