Christina Ehrhardt

8.0k citations
112 papers · 6.4k indexed · 1 hit paper · h-index 41

Christina Ehrhardt

109 papers receiving 6.3k citations

Hit Papers

Mrp8 and Mrp14 are endogenous activators of Toll-like rec...1.1k20072026201320192505007501000

Peers

Christina Ehrhardt
Comparison fields: 5 of 122
  • Immunology 3.5k
  • Epidemiology 3.0k
  • Infectious Diseases 1.1k
  • Hepatology 270
  • Molecular Biology 2.3k
Replace David J. Topham with:
David J. Topham United States
Stephan Pleschka Germany
Nathalie Grandvaux Canada
Thomas J. Braciale United States
Oliver Planz Germany
Sidong Xiong China
Christopher D. Richardson Canada
Ying Zhu China
Daniel F. Hoft United States
Roberto P. Garofalo United States
Christina Ehrhardt relative to David J. Topham United States David J. Topham's profile →
Citations per field
00.5×1.5×
David J. Topham · 1×
Citations per year

Countries citing papers authored by Christina Ehrhardt

Since Specialization
Citations

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

Fields of papers citing papers by Christina Ehrhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Christina Ehrhardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christina Ehrhardt Line = papers co-authored together Christina Ehrhardt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20246
2 20238
3 20226
4 202163
5 201719
6 201643
7 201456
8 201411
9
The NS1 Protein of Influenza A Virus Blocks RIG-I-Mediated Activation of the Noncanonical NF-kappa B Pathway and p52/RelB-Dependent Gene Expression in Lung Epithelial Cells
20131
10 201321
11 201326
12 201323
13 201227
14 201257
15 201154
16 2009100
17 200819
18 2007133
19 2004111
20 2001447

About Christina Ehrhardt

Christina Ehrhardt is a scholar working on Immunology, Epidemiology, Infectious Diseases, Virology and Cancer Research, having authored 112 papers that have together received 6.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (59 papers), interferon and immune responses (54 papers), Immune Response and Inflammation (42 papers), Respiratory viral infections research (10 papers), Virus-based gene therapy research (6 papers), Viral Infections and Vectors (6 papers), NF-κB Signaling Pathways (6 papers) and Cytokine Signaling Pathways and Interactions (6 papers). The work is most often cited by research in Immunology (3.5k citations), Epidemiology (3.0k citations), Infectious Diseases (1.1k citations), Hepatology (270 citations) and Molecular Biology (2.3k citations). Christina Ehrhardt has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Stephan Ludwig, Oliver Planz, Thorsten Wolff, Stephan Pleschka, Eike R. Hrincius, Wolfgang Nacken, Dirk Foell, Thomas Vogl, Johannes Roth and Tom van der Poll. Their work appears in journals such as Cellular Microbiology, Journal of Virology, PLoS ONE, Antiviral Research and International Journal of Molecular Sciences.

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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