Sabine E. Eckert

4.3k citations
27 papers · 3.2k · 3 hit papers · h-index 21

Impact in

Papers in

Sabine E. Eckert

27 papers receiving 3.1k citations

Sabine E. Eckert's Hit Papers

Sensitivity of SARS-CoV-2 B.1.1.7 to mRNA vaccine-elicited antibodies 2021 · 524 citations
5240+1+3Years since publication200400600

Peers

Sabine E. Eckert
Comparison fields: 5 of 124
  • Infectious Diseases 1.7k
  • Modeling and Simulation 125
  • Animal Science and Zoology 239
  • Molecular Biology 1.3k
  • Endocrinology 81
Replace Rachel Ulferts with:
Rachel Ulferts United Kingdom
Hervé Blanc France
Laura Baxter United Kingdom
Xuguang Li Canada
Audrey Farbos United Kingdom
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Kathleen A. McDonough United States
Melinda Ann Brindley United States
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Citations per year

Countries citing papers authored by Sabine E. Eckert

Since Specialization
Citations

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

Fields of papers citing papers by Sabine E. Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sabine E. Eckert. 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 Sabine E. Eckert. The network helps show where Sabine E. Eckert may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SARS-CoV-2 evolution during treatment of chronic infection
Hit paper breakdown →
2021698
2
Sensitivity of SARS-CoV-2 B.1.1.7 to mRNA vaccine-elicited antibodies
Hit paper breakdown →
2021524
3 2005360
4
Recurrent emergence of SARS-CoV-2 spike deletion H69/V70 and its role in the Alpha variant B.1.1.7
Hit paper breakdown →
2021316
5 2012261
6 2011137
7 2003127
8 201282
9 201372
10 200571
11 202167
12 200059
13 201257
14 199753
15 199948
16 200242
17 201640
18 201135
19 199934
20 200127

About Sabine E. Eckert

Sabine E. Eckert is a scholar working on Infectious Diseases, Animal Science and Zoology, Pharmacology, Molecular Biology and Endocrinology, having authored 27 papers that have together received 3.2k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (8 papers), Fungal Biology and Applications (5 papers), Fungal Infections and Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Animal Virus Infections Studies (4 papers), Antifungal resistance and susceptibility (4 papers), CRISPR and Genetic Engineering (3 papers) and Yeasts and Rust Fungi Studies (3 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Modeling and Simulation (125 citations), Animal Science and Zoology (239 citations), Molecular Biology (1.3k citations) and Endocrinology (81 citations). Sabine E. Eckert has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Gerhard H. Braus, Sven Krappmann, Silke Busch, Matthew Berriman, Ken Haynes, Fritz A. Mühlschlegel, Jochen M. Buck, Weijun Liang, Julian R. Naglik and Estelle Gewiss Mogensen. Their work appears in journals such as Nature, International Review of Hydrobiology, Current Biology, Molecular Microbiology and Fungal Genetics and Biology.

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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