Cathrine Knetter

1.6k total citations · 1 hit paper
7 papers, 1.3k citations indexed

About

Cathrine Knetter is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Cathrine Knetter has authored 7 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Cathrine Knetter's work include Immunotherapy and Immune Responses (4 papers), Immune Response and Inflammation (4 papers) and vaccines and immunoinformatics approaches (2 papers). Cathrine Knetter is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Immune Response and Inflammation (4 papers) and vaccines and immunoinformatics approaches (2 papers). Cathrine Knetter collaborates with scholars based in United States, Norway and Estonia. Cathrine Knetter's co-authors include Egil Lien, Nadra Nilsen, Terje Espevik, Eicke Latz, Douglas T. Golenbock, Katherine A. Fitzgerald, Brian G. Monks, Alberto Visintin, Anders Sundan and Unni Nonstad and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Immunology.

In The Last Decade

Cathrine Knetter

7 papers receiving 1.3k citations

Hit Papers

TLR9 signals after translocating from the ER to CpG DNA i... 2004 2026 2011 2018 2004 250 500 750 1000
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.

  1. TLR9 signals after translocating from the ER to CpG DNA in the lysosome
    2004 1.1k citations Eicke Latz, Alberto Visintin et al. Nature Immunology profile →

Peers

Cathrine Knetter
Mark Rutz Germany
Alex Nachman United States
Susanne Hausmann Germany
Nadra Nilsen Norway
Christian Schetter United States
Sarah E. Ewald United States
Ute Buwitt‐Beckmann Germany
John S. Cowdery United States
Yuehua Zhou China
M. Lamine Mbow United States
Mark Rutz Germany
Cathrine Knetter
Citations per year, relative to Cathrine Knetter Cathrine Knetter (= 1×) peers Mark Rutz

Countries citing papers authored by Cathrine Knetter

Since Specialization
Citations

This map shows the geographic impact of Cathrine Knetter'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 Cathrine Knetter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathrine Knetter more than expected).

Fields of papers citing papers by Cathrine Knetter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cathrine Knetter. 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 Cathrine Knetter. The network helps show where Cathrine Knetter may publish in the future.

Co-authorship network of co-authors of Cathrine Knetter

This figure shows the co-authorship network connecting the top 25 collaborators of Cathrine Knetter. A scholar is included among the top collaborators of Cathrine Knetter 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 Cathrine Knetter. Cathrine Knetter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Földvári, Zsófia, Cathrine Knetter, Weiwen Yang, et al.. (2023). A systematic safety pipeline for selection of T-cell receptors to enter clinical use. npj Vaccines. 8(1). 126–126. 11 indexed citations
2.
Meyer, Saskia, Ravi Chand Bollineni, Trung Tran, et al.. (2023). Prevalent and immunodominant CD8 T cell epitopes are conserved in SARS-CoV-2 variants. Cell Reports. 42(1). 111995–111995. 20 indexed citations
3.
Nguyen, Thuy Thanh, Ingvild B. Johnsen, Cathrine Knetter, et al.. (2010). Differential Gene Expression Downstream of Toll-like Receptors (TLRs). Journal of Biological Chemistry. 285(22). 17011–17019. 13 indexed citations
4.
Bartholomeu, Daniella Castanheira, Catherine Ropert, Mariane B. Melo, et al.. (2008). Recruitment and Endo-Lysosomal Activation of TLR9 in Dendritic Cells Infected with Trypanosoma cruzi. The Journal of Immunology. 181(2). 1333–1344. 54 indexed citations
5.
Nilsen, Nadra, Unni Nonstad, Naseema N. Khan, et al.. (2004). Lipopolysaccharide and Double-stranded RNA Up-regulate Toll-like Receptor 2 Independently of Myeloid Differentiation Factor 88. Journal of Biological Chemistry. 279(38). 39727–39735. 54 indexed citations
6.
Latz, Eicke, Alberto Visintin, Katherine A. Fitzgerald, et al.. (2004). TLR9 signals after translocating from the ER to CpG DNA in the lysosome. Nature Immunology. 5(2). 190–198. 1134 indexed citations breakdown →
7.
Kandimalla, Ekambar R., Lakshmi Bhagat, Fu‐Gang Zhu, et al.. (2003). A dinucleotide motif in oligonucleotides shows potent immunomodulatory activity and overrides species-specific recognition observed with CpG motif. Proceedings of the National Academy of Sciences. 100(24). 14303–14308. 47 indexed citations

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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