Danielle Ingebrigtsen

983 total citations · 1 hit paper
5 papers, 555 citations indexed

About

Danielle Ingebrigtsen is a scholar working on Microbiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Danielle Ingebrigtsen has authored 5 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Microbiology, 3 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Danielle Ingebrigtsen's work include Bacterial Infections and Vaccines (4 papers), Mycobacterium research and diagnosis (3 papers) and Bacterial Identification and Susceptibility Testing (1 paper). Danielle Ingebrigtsen is often cited by papers focused on Bacterial Infections and Vaccines (4 papers), Mycobacterium research and diagnosis (3 papers) and Bacterial Identification and Susceptibility Testing (1 paper). Danielle Ingebrigtsen collaborates with scholars based in United States and Germany. Danielle Ingebrigtsen's co-authors include Steve Miller, Charles Y. Chiu, Doug Stryke, Roberta L. DeBiasi, Shaun Arevalo, John A. D. Leake, William J. Bolosky, Samia N. Naccache, Erik Samayoa and Scot Federman and has published in prestigious journals such as Nature, Nature Medicine and Genome Research.

In The Last Decade

Danielle Ingebrigtsen

5 papers receiving 545 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Laboratory validation of a clinical metagenomic sequencing assay for pathogen detection in cerebrospinal fluid

2019 368 citations Steve Miller, Samia N. Naccache et al. Genome Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Danielle Ingebrigtsen United States	3	268	219	138	96	82	5	555
Karol Perlejewski Poland	15	229 0.9×	161 0.7×	163 1.2×	78 0.8×	17 0.2×	44	593
Marion Nehr Austria	11	238 0.9×	87 0.4×	122 0.9×	75 0.8×	81 1.0×	13	470
Masja Leendertse Netherlands	14	232 0.9×	196 0.9×	241 1.7×	21 0.2×	105 1.3×	22	683
Daisy Ko United States	9	301 1.1×	165 0.8×	279 2.0×	41 0.4×	22 0.3×	16	596
Marco C. Viveen Netherlands	13	350 1.3×	129 0.6×	175 1.3×	76 0.8×	16 0.2×	24	609
Patiyan Andersson Australia	14	121 0.5×	92 0.4×	119 0.9×	20 0.2×	45 0.5×	35	408
Emenike Ribs K. Eribe Norway	9	92 0.3×	168 0.8×	55 0.4×	36 0.4×	95 1.2×	15	425
K Dix United States	9	170 0.6×	173 0.8×	86 0.6×	43 0.4×	37 0.5×	9	569
Jan Marco Kern Austria	13	420 1.6×	106 0.5×	394 2.9×	23 0.2×	26 0.3×	33	746
Shufang Meng United States	12	278 1.0×	109 0.5×	141 1.0×	17 0.2×	64 0.8×	17	480

Countries citing papers authored by Danielle Ingebrigtsen

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Danielle Ingebrigtsen

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Ingebrigtsen. A scholar is included among the top collaborators of Danielle Ingebrigtsen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danielle Ingebrigtsen. Danielle Ingebrigtsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Lorenzi-Tognon, Mikaël de, Patrick Benoit, Venice Servellita, et al.. (2025). 298. Host Response Profiling from Clinical Metagenomic Sequencing Data for Diagnosis of Central Nervous System Infections. Open Forum Infectious Diseases. 12(Supplement_1). 2 indexed citations

2.

Benoit, Patrick, Mikaël de Lorenzi-Tognon, Noah Brazer, et al.. (2025). 299. Metagenomic Next-Generation Sequencing of Cerebrospinal Fluid for Central Nervous System Infections: Clinical Factors Associated with Increased Diagnostic Yield. Open Forum Infectious Diseases. 12(Supplement_1). 1 indexed citations

3.

Benoit, Patrick, Noah Brazer, Mikaël de Lorenzi-Tognon, et al.. (2024). Seven-year performance of a clinical metagenomic next-generation sequencing test for diagnosis of central nervous system infections. Nature Medicine. 30(12). 3522–3533. 34 indexed citations

4.

Schwartzenberg, Reiner Jumpertz von, Jordan E. Bisanz, Svetlana Lyalina, et al.. (2021). Caloric restriction disrupts the microbiota and colonization resistance. Nature. 595(7866). 272–277. 150 indexed citations

5.

Miller, Steve, Samia N. Naccache, Erik Samayoa, et al.. (2019). Laboratory validation of a clinical metagenomic sequencing assay for pathogen detection in cerebrospinal fluid. Genome Research. 29(5). 831–842. 368 indexed citations breakdown →

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.

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