Annika Kratzel

5.7k citations
9 papers · 2.7k indexed · 3 hit papers · h-index 6
Topics
SARS-CoV-2 and COVID-19 Research (8 papers)COVID-19 Clinical Research Studies (4 papers)Viral gastroenteritis research and epidemiology (2 papers)

In The Last Decade

Annika Kratzel

9 papers receiving 2.6k citations

Hit Papers

Coronavirus biology and replication: implications for SAR...202020262022202420202021202450010001.5k2.0k

Peers

Annika Kratzel
Comparison fields: 5 of 131
  • Infectious Diseases 1.8k
  • Molecular Biology 835
  • Computational Theory and Mathematics 306
  • Immunology 301
  • Pulmonary and Respiratory Medicine 226
Replace Philip V’kovski with:
Philip V’kovski Switzerland
Silvio Steiner Switzerland
Gengfu Xiao China
Qianyun Liu China
Reed F. Johnson United States
Fei Yu China
Sandra Ciesek Germany
Yingying Guo China
Aiping Wu China
Annika Kratzel relative to Philip V’kovski Switzerland Philip V’kovski's profile →
Citations per field
00.5×1.5×
Philip V’kovski · 1×
Citations per year

Countries citing papers authored by Annika Kratzel

Since Specialization
Citations

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

Fields of papers citing papers by Annika Kratzel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annika Kratzel

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1
SARS-CoV-2 biology and host interactionsbreakdown →
91
2 4
3 48
4 4
5 2
6
Structural basis of ribosomal frameshifting during translation of the SARS-CoV-2 RNA genomebreakdown →
176
7 43
8
Coronavirus biology and replication: implications for SARS-CoV-2breakdown →
2028
9 275

About Annika Kratzel

Annika Kratzel is a scholar working on Infectious Diseases, Neurology and Computational Theory and Mathematics, having authored 9 papers that have together received 2.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (4 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (1.8k citations), General Dentistry (60 citations) and Animal Science and Zoology (226 citations). Annika Kratzel has collaborated with scholars based in Switzerland, Germany and Slovakia. Frequent co-authors include Volker Thiel, Silvio Steiner, Philip V’kovski, Hanspeter Stalder, Nadine Ebert, Stephanie Pfaender, Daniel Tödt, Eike Steinmann, Ronald Dijkman and Melle Holwerda. Their work appears in journals such as Science, Nature Reviews Microbiology and Journal of Virology.

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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