Nadja Käding
Impact in
- Microbiology top 10%
- Reproductive tract infections research
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Urinary Tract Infections Management 6
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- Reproductive tract infections research 7
- Co-authors
- Jan Rupp (18 shared papers)Hans‐Willi Mittrücker (1 shared paper)Magdalena Huber (1 shared paper)Kensuke Shima (6 shared papers)Friederike Raczkowski (1 shared paper)Márta Szaszák (3 shared papers)Valéa Schumacher (1 shared paper)Tobias Graf (3 shared papers)
- Journals
- Frontiers in Cellular and Infection Microbiology (2 papers)BMC Public Health (2 papers)BMC Microbiology (1 paper)International Journal of Infectious Diseases (1 paper)Frontiers in Public Health (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Nadja Käding
16 papers receiving 213 citations
Peers
Comparison fields: 5 of 71
- Microbiology 54
- Immunology 57
- Applied Microbiology and Biotechnology 5
- Biological Psychiatry 6
- Epidemiology 55
Countries citing papers authored by Nadja Käding
This map shows the geographic impact of Nadja Käding'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 Nadja Käding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadja Käding more than expected).
Fields of papers citing papers by Nadja Käding
This network shows the impact of papers produced by Nadja Käding. 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 Nadja Käding. The network helps show where Nadja Käding may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadja Käding, 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 | 2016 | 64 | |
| 2 | 2021 | 36 | |
| 3 | 2020 | 16 | |
| 4 | 2017 | 16 | |
| 5 | 2014 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2022 | 11 | |
| 8 | 2013 | 10 | |
| 9 | 2022 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 0 | |
| 18 | 2022 | 0 | |
| 19 | 2025 | 0 |
About Nadja Käding
Nadja Käding is a scholar working on Epidemiology, Microbiology, Infectious Diseases, Molecular Biology and Immunology, having authored 19 papers that have together received 214 indexed citations. Recurring topics across this work include Reproductive tract infections research (7 papers), Urinary Tract Infections Management (6 papers), Gut microbiota and health (3 papers), COVID-19 Clinical Research Studies (3 papers), Reproductive System and Pregnancy (2 papers), Long-Term Effects of COVID-19 (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Infection Control and Ventilation (1 paper). The work is most often cited by research in Microbiology (54 citations), Immunology (57 citations), Applied Microbiology and Biotechnology (5 citations), Biological Psychiatry (6 citations) and Epidemiology (55 citations). Nadja Käding has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Jan Rupp, Hans‐Willi Mittrücker, Magdalena Huber, Kensuke Shima, Friederike Raczkowski, Márta Szaszák, Valéa Schumacher, Tobias Graf, Ulrich L. Günther and Matthias Klinger. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, BMC Public Health, BMC Microbiology, International Journal of Infectious Diseases and Frontiers in Public Health.
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.