Nayara Azevedo

1.1k total citations · 1 hit paper
10 papers, 628 citations indexed

About

Nayara Azevedo is a scholar working on Molecular Biology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nayara Azevedo has authored 10 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Infectious Diseases and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nayara Azevedo's work include RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (4 papers) and Viral Infections and Vectors (2 papers). Nayara Azevedo is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (4 papers) and Viral Infections and Vectors (2 papers). Nayara Azevedo collaborates with scholars based in Germany, France and Czechia. Nayara Azevedo's co-authors include Jonathan J. M. Landry, Martin Beck, Gerhard Hummer, Beata Turoňová, Andre Schwarz, Roberto Covino, Katrin Bagola, Christoph Schürmann, Florian E.C. Blanc and Wim J. H. Hagen and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Nayara Azevedo

10 papers receiving 622 citations

Hit Papers

In situ structural analys... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nayara Azevedo Germany 7 379 290 100 83 56 10 628
Julia Peukes United Kingdom 6 604 1.6× 318 1.1× 114 1.1× 103 1.2× 87 1.6× 7 865
Cong Xu China 14 407 1.1× 423 1.5× 84 0.8× 82 1.0× 44 0.8× 23 787
Moritz Wachsmuth-Melm Germany 5 400 1.1× 195 0.7× 58 0.6× 73 0.9× 73 1.3× 6 590
Sophie L. Winter Germany 7 398 1.1× 214 0.7× 69 0.7× 76 0.9× 69 1.2× 14 619
Megan L. Mayer United States 9 322 0.8× 442 1.5× 62 0.6× 155 1.9× 51 0.9× 15 779
Tian-Hao Weng China 14 633 1.7× 339 1.2× 106 1.1× 125 1.5× 76 1.4× 25 1.1k
Michael Gecht Germany 7 388 1.0× 357 1.2× 52 0.5× 92 1.1× 54 1.0× 8 668
Andre Schwarz Germany 5 328 0.9× 337 1.2× 39 0.4× 72 0.9× 52 0.9× 5 611
Florian E.C. Blanc France 8 385 1.0× 332 1.1× 45 0.5× 93 1.1× 53 0.9× 10 678
Cindy Hörner Germany 3 365 1.0× 192 0.7× 44 0.4× 72 0.9× 65 1.2× 4 499

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
1.
Vopálenský, Václav, Tomáš Mašek, Jan Provazník, et al.. (2024). Loss of ADAR1 protein induces changes in small RNA landscape in hepatocytes. RNA. 30(9). 1164–1183. 1 indexed citations
2.
Romanov, Natalie, Agnieszka Obarska-Kosińska, Anja Becker, et al.. (2023). Co-translational binding of importins to nascent proteins. Nature Communications. 14(1). 3418–3418. 18 indexed citations
3.
Becker, Anja, Filipa Pereira, Jonathan J. M. Landry, et al.. (2022). Co-translational assembly orchestrates competing biogenesis pathways. Nature Communications. 13(1). 1224–1224. 30 indexed citations
4.
Baudin, Florence, Jan Provazník, Nayara Azevedo, et al.. (2022). Structural snapshots of La Crosse virus polymerase reveal the mechanisms underlying Peribunyaviridae replication and transcription. Nature Communications. 13(1). 902–902. 26 indexed citations
5.
Yen, Pei‐Shi, Alessio Colantoni, Nayara Azevedo, et al.. (2022). MicroRNAs and other small RNAs in Aedes aegypti saliva and salivary glands following chikungunya virus infection. Scientific Reports. 12(1). 9536–9536. 9 indexed citations
6.
Duarte, Isabel, et al.. (2022). gga-miRNOME, a microRNA-sequencing dataset from chick embryonic tissues. Scientific Data. 9(1). 29–29. 5 indexed citations
7.
Azevedo, Nayara, et al.. (2021). Lack of Conserved miRNA Deregulation in HPV-Induced Squamous Cell Carcinomas. Biomolecules. 11(5). 764–764. 7 indexed citations
8.
Turoňová, Beata, Mateusz Sikora, Christoph Schürmann, et al.. (2020). In situ structural analysis of SARS-CoV-2 spike reveals flexibility mediated by three hinges. Science. 370(6513). 203–208. 430 indexed citations breakdown →
9.
Kouba, Tomáš, Manikandan Karuppasamy, A. Pflug, et al.. (2020). A Structure-Based Model for the Complete Transcription Cycle of Influenza Polymerase. Cell. 181(4). 877–893.e21. 99 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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