Christopher Dächert

545 citations
16 papers · 256 · h-index 8

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

Christopher Dächert

15 papers receiving 254 citations

Peers

Christopher Dächert
Comparison fields: 5 of 50
  • Hepatology 94
  • Epidemiology 125
  • Infectious Diseases 65
  • Immunology 68
  • Virology 15
Replace Ilka Rebhan with:
Ilka Rebhan Germany
Wandi Zhu China
Mathieu Lefèvre France
Ludovic Aillot France
Marion Gruffaz France
Gaëtan Ligat France
Jamie Frankish Germany
Sung Hyun Ahn South Korea
Mohube Betty Maepa South Africa
James Ahodantin France
Christopher Dächert relative to Ilka Rebhan Germany Ilka Rebhan's profile →
Citations per field
00.5×6.2×
Ilka Rebhan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Christopher Dächert, 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 Christopher Dächert Line = papers co-authored together Christopher Dächert links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2018126
2 202034
3 202222
4 202115
5 20228
6 20207
7 20197
8 20207
9 20226
10 20236
11 20246
12 20234
13 20234
14 20233
15 20231
16 20250

About Christopher Dächert

Christopher Dächert is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Hepatology and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 256 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Hepatitis C virus research (4 papers), SARS-CoV-2 detection and testing (4 papers), Biosensors and Analytical Detection (3 papers), Mosquito-borne diseases and control (3 papers), interferon and immune responses (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Hepatology (94 citations), Epidemiology (125 citations), Infectious Diseases (65 citations), Immunology (68 citations) and Virology (15 citations). Christopher Dächert has collaborated with scholars based in Germany, France and Austria. Frequent co-authors include Marco Binder, Ralf Bartenschlager, Pascal Mutz, Peter Schemmer, Florian A. Lempp, Jamie Frankish, Katrin Hoffmann, Katrin Schöneweis, Philippe Metz and Benjamin Schusser. Their work appears in journals such as PLoS Computational Biology, Medical Microbiology and Immunology, Viruses, Nature Communications and Frontiers in Immunology.

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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