Christopher Dächert

545 total citations
16 papers, 256 citations indexed

About

Christopher Dächert is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Christopher Dächert has authored 16 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Christopher Dächert's work include SARS-CoV-2 and COVID-19 Research (5 papers), Hepatitis C virus research (4 papers) and SARS-CoV-2 detection and testing (4 papers). Christopher Dächert is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), Hepatitis C virus research (4 papers) and SARS-CoV-2 detection and testing (4 papers). Christopher Dächert collaborates with scholars based in Germany, France and Austria. Christopher Dächert's co-authors include Marco Binder, Ralf Bartenschlager, Pascal Mutz, Jamie Frankish, Ronald Koschny, Georgios Polychronidis, Thomas Tu, Thomas F. Baumert, Katrin Hoffmann and Peter Schemmer and has published in prestigious journals such as Nature Communications, Gastroenterology and The Journal of Infectious Diseases.

In The Last Decade

Christopher Dächert

15 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Dächert Germany 8 125 94 75 68 65 16 256
Hualong Xiong China 7 64 0.5× 42 0.4× 69 0.9× 40 0.6× 41 0.6× 11 169
Virginia Chu United States 6 115 0.9× 176 1.9× 150 2.0× 38 0.6× 65 1.0× 6 368
James Ahodantin France 8 170 1.4× 138 1.5× 77 1.0× 58 0.9× 28 0.4× 15 287
Julia Festag Germany 9 162 1.3× 95 1.0× 73 1.0× 119 1.8× 56 0.9× 13 290
Ilka Rebhan Germany 5 110 0.9× 118 1.3× 73 1.0× 45 0.7× 36 0.6× 7 252
Sneha Rangarajan United States 10 60 0.5× 71 0.8× 100 1.3× 135 2.0× 22 0.3× 10 312
Daitze Wu China 9 184 1.5× 138 1.5× 102 1.4× 47 0.7× 109 1.7× 14 320
Chiara Taibi Italy 8 165 1.3× 138 1.5× 38 0.5× 33 0.5× 58 0.9× 36 262
Mohube Betty Maepa South Africa 8 189 1.5× 101 1.1× 184 2.5× 28 0.4× 53 0.8× 22 311

Countries citing papers authored by Christopher Dächert

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Dächert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Dächert

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

All Works

16 of 16 papers shown
1.
Klein, Matthias, Katharina Müller, Robert Forbrig, et al.. (2025). Severe course of tick-borne encephalitis (TBE) in a patient with relapsing multiple sclerosis (MS) treated with ocrelizumab. Multiple Sclerosis Journal. 3819205073–3819205073.
2.
Grüner, Eva, Marica Grossegesse, Daniel Stern, et al.. (2024). Mpox-Specific Immune Responses Elicited by Vaccination or Infection in People With HIV. The Journal of Infectious Diseases. 230(5). 1110–1119. 6 indexed citations
3.
Dächert, Christopher, Gaia Lupoli, Maximilian Muenchhoff, et al.. (2023). Ten rapid antigen tests for SARS-CoV-2 widely differ in their ability to detect Omicron-BA.4 and -BA.5. Medical Microbiology and Immunology. 212(5). 323–337. 4 indexed citations
4.
Zaderer, Viktoria, Gaia Lupoli, Christopher Dächert, et al.. (2023). Omicron subvariants illustrate reduced respiratory tissue penetration, cell damage and inflammatory responses in human airway epithelia. Frontiers in Immunology. 14. 1258268–1258268. 3 indexed citations
5.
Zitzmann, Carolin, Christopher Dächert, Bianca Schmid, et al.. (2023). Mathematical modeling of plus-strand RNA virus replication to identify broad-spectrum antiviral treatment strategies. PLoS Computational Biology. 19(4). e1010423–e1010423. 4 indexed citations
6.
Dichtl, Stefanie, Gabriel Diem, Michael Jäger, et al.. (2023). Antiviral drugs block replication of highly immune-evasive Omicron subvariants ex vivo, but fail to reduce tissue inflammation. Antiviral Research. 213. 105581–105581. 6 indexed citations
7.
Diem, Gabriel, Stefanie Dichtl, Viktoria Zaderer, et al.. (2023). Salivary antibodies induced by BA.4/BA.5-convalescence or bivalent booster Immunoglobulin vaccination protect against novel SARS-COV-2 variants of concern. Microbiology Spectrum. 11(5). e0179323–e0179323. 1 indexed citations
8.
Sahle, Sven, Pascal Mutz, Christopher Dächert, et al.. (2022). Stochastic dynamics of Type-I interferon responses. PLoS Computational Biology. 18(10). e1010623–e1010623. 6 indexed citations
9.
Osterman, Andreas, Christopher Dächert, Marcel Stern, et al.. (2022). Variable detection of Omicron-BA.1 and -BA.2 by SARS-CoV-2 rapid antigen tests. Medical Microbiology and Immunology. 212(1). 13–23. 8 indexed citations
10.
Dächert, Christopher, Maximilian Muenchhoff, Alexander Graf, et al.. (2022). Rapid and sensitive identification of omicron by variant-specific PCR and nanopore sequencing: paradigm for diagnostics of emerging SARS-CoV-2 variants. Medical Microbiology and Immunology. 211(1). 71–77. 22 indexed citations
11.
Andersen, Line Lykke, Pietro Scaturro, Christopher Dächert, et al.. (2021). NUDT2 initiates viral RNA degradation by removal of 5′-phosphates. Nature Communications. 12(1). 6918–6918. 15 indexed citations
12.
Dächert, Christopher, Martijn J. van Hemert, Ali Taş, et al.. (2020). Host factor prioritization for pan-viral genetic perturbation screens using random intercept models and network propagation. PLoS Computational Biology. 16(2). e1007587–e1007587. 7 indexed citations
13.
Rosenblatt, Marcus, Vladimir Gonçalves Magalhães, Christopher Dächert, et al.. (2020). Disentangling molecular mechanisms regulating sensitization of interferon alpha signal transduction. Molecular Systems Biology. 16(7). e8955–e8955. 34 indexed citations
14.
Urban, Christian, Darya A. Haas, Christopher Dächert, et al.. (2020). Persistent Innate Immune Stimulation Results in IRF3-Mediated but Caspase-Independent Cytostasis. Viruses. 12(6). 635–635. 7 indexed citations
15.
Dächert, Christopher, Evgeny Gladilin, & Marco Binder. (2019). Gene Expression Profiling of Different Huh7 Variants Reveals Novel Hepatitis C Virus Host Factors. Viruses. 12(1). 36–36. 7 indexed citations
16.
Mutz, Pascal, Philippe Metz, Florian A. Lempp, et al.. (2018). HBV Bypasses the Innate Immune Response and Does Not Protect HCV From Antiviral Activity of Interferon. Gastroenterology. 154(6). 1791–1804.e22. 126 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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