Juliana Glavina

1.2k total citations
9 papers, 587 citations indexed

About

Juliana Glavina is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Juliana Glavina has authored 9 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Epidemiology. Recurrent topics in Juliana Glavina's work include RNA and protein synthesis mechanisms (4 papers), Virus-based gene therapy research (3 papers) and RNA Research and Splicing (3 papers). Juliana Glavina is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Virus-based gene therapy research (3 papers) and RNA Research and Splicing (3 papers). Juliana Glavina collaborates with scholars based in Argentina, Germany and France. Juliana Glavina's co-authors include Lucía B. Chemes, Norman E. Davey, Ignacio E. Sánchez, Sushama Michael, Toby J. Gibson, Nicolás Palópoli, Rita Pancsa, Marc Gouw, Hugo Sámano‐Sánchez and Jelena Čalyševa and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Juliana Glavina

9 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juliana Glavina Argentina 7 475 72 60 57 57 9 587
Sushama Michael Germany 5 623 1.3× 92 1.3× 52 0.9× 60 1.1× 65 1.1× 6 758
Gergely Róna Hungary 16 565 1.2× 79 1.1× 97 1.6× 67 1.2× 36 0.6× 30 729
Irene Chau Canada 13 663 1.4× 51 0.7× 57 0.9× 37 0.6× 91 1.6× 21 917
Sachiko Takayama United States 9 663 1.4× 65 0.9× 134 2.2× 133 2.3× 56 1.0× 10 832
Lester Carter United Kingdom 6 541 1.1× 40 0.6× 107 1.8× 105 1.8× 27 0.5× 11 773
Markus Seiler Germany 10 899 1.9× 156 2.2× 111 1.9× 67 1.2× 82 1.4× 11 1.0k
F. Voigts-Hoffmann Switzerland 8 767 1.6× 34 0.5× 81 1.4× 36 0.6× 24 0.4× 9 830
Vishnu Priyanka Reddy Chichili Singapore 8 384 0.8× 66 0.9× 29 0.5× 46 0.8× 23 0.4× 10 475
Fernanda L. Sirota Singapore 13 407 0.9× 73 1.0× 23 0.4× 60 1.1× 28 0.5× 21 550
Sebastiaan Werten Germany 16 725 1.5× 33 0.5× 113 1.9× 50 0.9× 53 0.9× 33 840

Countries citing papers authored by Juliana Glavina

Since Specialization
Citations

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

Fields of papers citing papers by Juliana Glavina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juliana Glavina

This figure shows the co-authorship network connecting the top 25 collaborators of Juliana Glavina. A scholar is included among the top collaborators of Juliana Glavina 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 Juliana Glavina. Juliana Glavina 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
1.
Glavina, Juliana, et al.. (2022). Host diversification is concurrent with linear motif evolution in a Mastadenovirus hub protein. Journal of Molecular Biology. 434(10). 167563–167563. 4 indexed citations
2.
Foutel, Nicolás S. González, Juliana Glavina, Wade M. Borcherds, et al.. (2022). Conformational buffering underlies functional selection in intrinsically disordered protein regions. Nature Structural & Molecular Biology. 29(8). 781–790. 69 indexed citations
3.
Glavina, Juliana, Nicolás Palópoli, & Lucía B. Chemes. (2022). Evolution of SLiM-mediated hijack functions in intrinsically disordered viral proteins. Essays in Biochemistry. 66(7). 945–958. 6 indexed citations
4.
Kjærgaard, Magnus, Juliana Glavina, & Lucía B. Chemes. (2020). Predicting the effect of disordered linkers on effective concentrations and avidity with the “C calculator” app. Methods in enzymology on CD-ROM/Methods in enzymology. 647. 145–171. 21 indexed citations
5.
Gouw, Marc, Sushama Michael, Hugo Sámano‐Sánchez, et al.. (2019). ELM—the eukaryotic linear motif resource in 2020. Nucleic Acids Research. 48(D1). D296–D306. 199 indexed citations
6.
Glavina, Juliana, et al.. (2018). Interplay between sequence, structure and linear motifs in the adenovirus E1A hub protein. Virology. 525. 117–131. 13 indexed citations
7.
Dinkel, Holger, Kim Van Roey, Sushama Michael, et al.. (2013). The eukaryotic linear motif resource ELM: 10 years and counting. Nucleic Acids Research. 42(D1). D259–D266. 234 indexed citations
8.
Chemes, Lucía B., Juliana Glavina, Julián Faivovich, G. Gay, & Ignacio E. Sánchez. (2012). Evolution of Linear Motifs within the Papillomavirus E7 Oncoprotein. Journal of Molecular Biology. 422(3). 336–346. 17 indexed citations
9.
Chemes, Lucía B., Juliana Glavina, Leonardo G. Alonso, et al.. (2012). Sequence Evolution of the Intrinsically Disordered and Globular Domains of a Model Viral Oncoprotein. PLoS ONE. 7(10). e47661–e47661. 24 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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