Danielle Ingebrigtsen
Impact in
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing
- Microbiology top 10%
- Bacterial Infections and Vaccines
Papers in
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- Bacterial Infections and Vaccines 4
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- Mycobacterium research and diagnosis 3
- Co-authors
- Steve Miller (3 shared papers)Charles Y. Chiu (4 shared papers)Doug Stryke (2 shared papers)Samia N. Naccache (1 shared paper)Elizabeth Pham (1 shared paper)Scot Federman (1 shared paper)Erik Samayoa (1 shared paper)William J. Bolosky (1 shared paper)
- Journals
- Open Forum Infectious Diseases (2 papers)Nature Medicine (1 paper)Nature (1 paper)Genome Research (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Danielle Ingebrigtsen
5 papers receiving 587 citations
Danielle Ingebrigtsen's Hit Papers
Peers
Comparison fields: 5 of 72
- Clinical Biochemistry 56
- Microbiology 47
- Infectious Diseases 99
- Epidemiology 172
- Microbiology 3
Countries citing papers authored by Danielle Ingebrigtsen
This map shows the geographic impact of Danielle Ingebrigtsen'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 Danielle Ingebrigtsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Ingebrigtsen more than expected).
Fields of papers citing papers by Danielle Ingebrigtsen
This network shows the impact of papers produced by Danielle Ingebrigtsen. 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 Danielle Ingebrigtsen. The network helps show where Danielle Ingebrigtsen may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Ingebrigtsen, 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 | Laboratory validation of a clinical metagenomic sequencing assay for pathogen detection in cerebrospinal fluid Hit paper breakdown → | 2019 | 383 |
| 2 | 2021 | 159 | |
| 3 | Seven-year performance of a clinical metagenomic next-generation sequencing test for diagnosis of central nervous system infections Hit paper breakdown → | 2024 | 55 |
| 4 | 2025 | 2 | |
| 5 | 2025 | 1 |
About Danielle Ingebrigtsen
Danielle Ingebrigtsen is a scholar working on Microbiology, Epidemiology, Molecular Biology, Infectious Diseases and Ecology, having authored 5 papers that have together received 600 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (4 papers), Mycobacterium research and diagnosis (3 papers), Genomics and Phylogenetic Studies (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper), Bacterial Identification and Susceptibility Testing (1 paper), Gastrointestinal motility and disorders (1 paper), Bacteriophages and microbial interactions (1 paper) and Gut microbiota and health (1 paper). The work is most often cited by research in Clinical Biochemistry (56 citations), Microbiology (47 citations), Infectious Diseases (99 citations), Epidemiology (172 citations) and Microbiology (3 citations). Danielle Ingebrigtsen has collaborated with scholars based in United States and Germany. Frequent co-authors include Steve Miller, Charles Y. Chiu, Doug Stryke, Samia N. Naccache, Elizabeth Pham, Scot Federman, Erik Samayoa, William J. Bolosky, Samuel R. Dominguez and Rick L. Pesano. Their work appears in journals such as Open Forum Infectious Diseases, Nature Medicine, Nature and Genome 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.