Nayara Azevedo

1.1k citations
10 papers · 628 indexed · 1 hit paper · h-index 7
Topics
RNA and protein synthesis mechanisms (5 papers)RNA Research and Splicing (4 papers)Viral Infections and Vectors (2 papers)
Partner nations
GermanyFranceCzechia

In The Last Decade

Nayara Azevedo

10 papers receiving 622 citations

Hit Papers

In situ structural analysis of SARS-CoV-2 spike reveals f...20202026202220242020100200300400

Peers

Nayara Azevedo
Comparison fields: 5 of 80
  • Infectious Diseases 379
  • Molecular Biology 290
  • Epidemiology 100
  • Ecology 83
  • Animal Science and Zoology 56
Replace Michael Gecht with:
Michael Gecht Germany
Moritz Wachsmuth-Melm Germany
Julia Peukes United Kingdom
Florian E.C. Blanc Germany
Cindy Hörner Germany
Andre Schwarz Germany
Sophie L. Winter Germany
Tian-Hao Weng China
Daniel L. Hurdiss Netherlands
Elad Binshtein United States
Nayara Azevedo relative to Michael Gecht Germany Michael Gecht's profile →
Citations per field
00.5×1.5×
Michael Gecht · 1×
Citations per year

Countries citing papers authored by Nayara Azevedo

Since Specialization
Citations

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

Fields of papers citing papers by Nayara Azevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nayara Azevedo

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 18
3 30
4 9
5 26
6 5
7 7
8
In situ structural analysis of SARS-CoV-2 spike reveals flexibility mediated by three hingesbreakdown →
430
9 99
10 3

About Nayara Azevedo

Nayara Azevedo is a scholar working on Endocrinology, Infectious Diseases and Microbiology, having authored 10 papers that have together received 628 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (4 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Structural Biology (39 citations), Infectious Diseases (379 citations) and Animal Science and Zoology (56 citations). Nayara Azevedo has collaborated with scholars based in Germany, France and Czechia. Frequent co-authors include Jonathan J. M. Landry, Martin Beck, Gerhard Hummer, Beata Turoňová, Andre Schwarz, Sonja Welsch, Roberto Covino, Ger van Zandbergen, Michael D. Mühlebach and Michael Gecht. Their work appears in journals such as Science, Cell and Nature Communications.

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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