Natalie Bruiners
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
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- Mycobacterium research and diagnosis
- Pneumocystis jirovecii pneumonia detection and treatment
- Autophagy in Disease and Therapy
Papers in
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- Tuberculosis Research and Epidemiology 4
- Surgery 4
- Lipoproteins and Cardiovascular Health 3
- Cholesterol and Lipid Metabolism 1
- Co-authors
- Maria Laura Gennaro (6 shared papers)Noton K. Dutta (4 shared papers)Petros C. Karakousis (4 shared papers)Véronique Dartois (3 shared papers)Hugh Salamon (4 shared papers)Matthew Zimmerman (2 shared papers)Ken Yamaguchi (3 shared papers)Brendan Prideaux (2 shared papers)
- Journals
- Journal of Lipid Research (1 paper)Immunogenetics (1 paper)PLoS Pathogens (1 paper)The Journal of Immunology (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesRussiaSouth Africa
In The Last Decade
Natalie Bruiners
7 papers receiving 325 citations
Peers
Comparison fields: 5 of 52
- Infectious Diseases 206
- Epidemiology 141
- Immunology 73
- Molecular Medicine 12
- Physiology 9
Countries citing papers authored by Natalie Bruiners
This map shows the geographic impact of Natalie Bruiners'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 Natalie Bruiners with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Bruiners more than expected).
Fields of papers citing papers by Natalie Bruiners
This network shows the impact of papers produced by Natalie Bruiners. 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 Natalie Bruiners. The network helps show where Natalie Bruiners may publish in the future.
Co-authors
The 25 scholars most cited alongside Natalie Bruiners, 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 | 2014 | 82 | |
| 2 | 2016 | 79 | |
| 3 | 2018 | 71 | |
| 4 | 2019 | 52 | |
| 5 | 2020 | 31 | |
| 6 | 2020 | 10 | |
| 7 | 2020 | 2 |
About Natalie Bruiners
Natalie Bruiners is a scholar working on Infectious Diseases, Surgery, Immunology, Molecular Biology and Pathology and Forensic Medicine, having authored 7 papers that have together received 327 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Immune cells in cancer (2 papers), Diet, Metabolism, and Disease (1 paper), Vitamin D Research Studies (1 paper), interferon and immune responses (1 paper), Computational Drug Discovery Methods (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Infectious Diseases (206 citations), Epidemiology (141 citations), Immunology (73 citations), Molecular Medicine (12 citations) and Physiology (9 citations). Natalie Bruiners has collaborated with scholars based in United States, Russia and South Africa. Frequent co-authors include Maria Laura Gennaro, Noton K. Dutta, Petros C. Karakousis, Véronique Dartois, Hugh Salamon, Matthew Zimmerman, Ken Yamaguchi, Brendan Prideaux, Lanbo Shi and Janani Ravi. Their work appears in journals such as Journal of Lipid Research, Immunogenetics, PLoS Pathogens, The Journal of Immunology and The Journal of 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.