Stefan Niemann
- Infectious Diseases top 0.02%
- Tuberculosis Research and Epidemiology 247
- Epidemiology top 0.05%
- Mycobacterium research and diagnosis 229
- Pneumocystis jirovecii pneumonia detection and treatment 28
- Pneumonia and Respiratory Infections 27
- Molecular Medicine top 0.2%
- Surgery top 0.2%
- Infectious Diseases and Tuberculosis 69
- Diagnosis and treatment of tuberculosis 46
- Microbiology top 2%
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- Genomics and Phylogenetic Studies 22
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- Bacteriophages and microbial interactions 15
- Co-authors
- Sabine Rüsch–GerdesRoland DielSébastien GagneuxElvira RichterPhilip SupplySusanne HomolkaThomas A. KohlKristin Kremer
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Lancet (1 paper)Nucleic Acids Research (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Stefan Niemann
292 papers receiving 14.5k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Infectious Diseases 12.3k
- Epidemiology 11.5k
- Molecular Medicine 1.1k
- Surgery 5.6k
- Microbiology 54
Countries citing papers authored by Stefan Niemann
This map shows the geographic impact of Stefan Niemann'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 Stefan Niemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Niemann more than expected).
Fields of papers citing papers by Stefan Niemann
This network shows the impact of papers produced by Stefan Niemann. 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 Stefan Niemann. The network helps show where Stefan Niemann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefan Niemann, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 38 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 33 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 38 | |
| 15 | 2020 | 41 | |
| 16 | 2019 | 15 | |
| 17 | Drug-resistance profiling and transmission dynamics of multidrug-resistant Mycobacterium tuberculosis in Saudi Arabia revealed by whole genome sequencing | 2018 | 1 |
| 18 | 2018 | 3 | |
| 19 | 2017 | 3 | |
| 20 | 2011 | 1 |
About Stefan Niemann
Stefan Niemann is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine, having authored 301 papers that have together received 14.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (247 papers), Mycobacterium research and diagnosis (229 papers), Infectious Diseases and Tuberculosis (69 papers), Diagnosis and treatment of tuberculosis (46 papers), Pneumocystis jirovecii pneumonia detection and treatment (28 papers), Pneumonia and Respiratory Infections (27 papers), Genomics and Phylogenetic Studies (22 papers) and Bacteriophages and microbial interactions (15 papers). The work is most often cited by research in Infectious Diseases (12.3k citations), Epidemiology (11.5k citations) and Molecular Medicine (1.1k citations). Stefan Niemann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Sabine Rüsch–Gerdes, Roland Diel, Sébastien Gagneux, Elvira Richter, Philip Supply, Susanne Homolka, Thomas A. Kohl, Kristin Kremer, Dag Harmsen and Iñaki Comas. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.
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.