Héctor Musto

2.3k total citations
69 papers, 1.7k citations indexed

About

Héctor Musto is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Héctor Musto has authored 69 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 16 papers in Ecology and 11 papers in Plant Science. Recurrent topics in Héctor Musto's work include RNA and protein synthesis mechanisms (43 papers), Genomics and Phylogenetic Studies (32 papers) and RNA modifications and cancer (8 papers). Héctor Musto is often cited by papers focused on RNA and protein synthesis mechanisms (43 papers), Genomics and Phylogenetic Studies (32 papers) and RNA modifications and cancer (8 papers). Héctor Musto collaborates with scholars based in Uruguay, Italy and France. Héctor Musto's co-authors include Héctor Romero, Alejandro Zavala, Hugo Naya, Giorgio Bernardi, Juan Cristina, Gonzalo Moratorio, Fernando Álvarez-Valín, Andrés Iriarte, Giuseppe D’Onofrio and Pilar Moreno and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Héctor Musto

67 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Héctor Musto Uruguay 25 1.3k 377 254 194 164 69 1.7k
Douglas D. Rhoads United States 25 875 0.7× 113 0.3× 264 1.0× 247 1.3× 187 1.1× 77 1.7k
Simon A. Jackson New Zealand 20 1.3k 1.0× 705 1.9× 163 0.6× 512 2.6× 87 0.5× 44 1.8k
Miguel Pinheiro Portugal 19 571 0.4× 324 0.9× 472 1.9× 66 0.3× 68 0.4× 38 1.4k
Svenn D’Hert Belgium 4 1.2k 0.9× 460 1.2× 407 1.6× 236 1.2× 183 1.1× 4 1.9k
Gordon Stephen United Kingdom 10 790 0.6× 243 0.6× 673 2.6× 357 1.8× 138 0.8× 11 1.6k
Francisco Pereira Lobo Brazil 20 522 0.4× 142 0.4× 215 0.8× 102 0.5× 146 0.9× 51 1.2k
Héctor Romero Uruguay 17 906 0.7× 268 0.7× 135 0.5× 226 1.2× 44 0.3× 26 1.3k
Darius Kazlauskas Lithuania 16 602 0.5× 556 1.5× 566 2.2× 197 1.0× 194 1.2× 24 1.3k
Bixing Huang Australia 20 613 0.5× 150 0.4× 125 0.5× 345 1.8× 257 1.6× 48 1.3k
Gal Ofir Israel 9 1.3k 1.0× 1.3k 3.6× 312 1.2× 386 2.0× 255 1.6× 10 2.2k

Countries citing papers authored by Héctor Musto

Since Specialization
Citations

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

Fields of papers citing papers by Héctor Musto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Héctor Musto

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

All Works

20 of 20 papers shown
1.
Musto, Héctor, et al.. (2025). Evolution of SL-RNA Genes and Their Splicing Targets in Parasitic Flatworms. Molecular Biology and Evolution. 42(11).
2.
Iriarte, Andrés, et al.. (2023). Main Factors Shaping Amino Acid Usage Across Evolution. Journal of Molecular Evolution. 91(4). 382–390. 3 indexed citations
3.
Musto, Héctor, et al.. (2020). SLFinder, a pipeline for the novel identification of splice-leader sequences: a good enough solution for a complex problem. BMC Bioinformatics. 21(1). 293–293. 4 indexed citations
4.
Musto, Héctor, et al.. (2018). The short-sequence design of DNA and its involvement in the 3-D structure of the genome. Scientific Reports. 8(1). 17820–17820. 6 indexed citations
5.
Costantini, Maria & Héctor Musto. (2017). The Isochores as a Fundamental Level of Genome Structure and Organization: A General Overview. Journal of Molecular Evolution. 84(2-3). 93–103. 21 indexed citations
6.
Morel, María A., et al.. (2016). Revealing the biotechnological potential of Delftia sp. JD2 by a genomic approach. SHILAP Revista de lepidopterología. 3(2). 156–175. 28 indexed citations
7.
Mirazo, Santiago, Daiana Mir, Gonzalo Bello, et al.. (2016). New insights into the hepatitis E virus genotype 3 phylodynamics and evolutionary history. Infection Genetics and Evolution. 43. 267–273. 15 indexed citations
8.
Musto, Héctor. (2016). What We Know and What We Should Know About Codon Usage. Journal of Molecular Evolution. 82(6). 245–246. 7 indexed citations
9.
Iriarte, Andrés, et al.. (2015). Characterizing proteases in an Antarctic Janthinobacterium sp. isolate: Evidence of a protease horizontal gene transfer event. ADVANCES IN POLAR SCIENCE. 88–95. 2 indexed citations
10.
Gómez, Mariela Martínez, Luis Fernando López Tort, Eduardo de Mello Volotão, et al.. (2011). Analysis of human P[4]G2 rotavirus strains isolated in Brazil reveals codon usage bias and strong compositional constraints. Infection Genetics and Evolution. 11(3). 580–586. 12 indexed citations
11.
Musto, Héctor, et al.. (2006). CpG islands are the second main factor shaping codon usage in human genes. Biochemical and Biophysical Research Communications. 343(4). 1257–1261. 10 indexed citations
12.
Naya, Hugo, Daniel Gianola, Héctor Romero, J. I. Urioste, & Héctor Musto. (2005). Inferring Parameters Shaping Amino Acid Usage in Prokaryotic Genomes via Bayesian MCMC Methods. Molecular Biology and Evolution. 23(1). 203–211. 16 indexed citations
13.
Zavala, Alejandro, et al.. (2005). Genomic GC content prediction in prokaryotes from a sample of genes. Gene. 357(2). 137–143. 11 indexed citations
14.
Musto, Héctor, Hugo Naya, Alejandro Zavala, et al.. (2004). Correlations between genomic GC levels and optimal growth temperatures in prokaryotes. FEBS Letters. 573(1-3). 73–77. 99 indexed citations
15.
Romero, Héctor, Alejandro Zavala, Héctor Musto, & Giorgio Bernardi. (2003). The influence of translational selection on codon usage in fishes from the family Cyprinidae. Gene. 317(1-2). 141–147. 64 indexed citations
16.
Peixoto, Lucı́a, Alejandro Zavala, Héctor Romero, & Héctor Musto. (2003). The strength of translational selection for codon usage varies in the three replicons of Sinorhizobium meliloti. Gene. 320. 109–116. 31 indexed citations
17.
Naya, Hugo, et al.. (2001). Translational selection shapes codon usage in the GC‐rich genome of Chlamydomonas reinhardtii. FEBS Letters. 501(2-3). 127–130. 78 indexed citations
18.
Romero, Héctor, Alejandro Zavala, & Héctor Musto. (2000). Compositional pressure and translational selection determine codon usage in the extremely GC-poor unicellular eukaryote Entamoeba histolytica. Gene. 242(1-2). 307–311. 36 indexed citations
19.
Musto, Héctor, et al.. (1998). Heterogeneity in Codon Usage in the Flatworm Schistosoma mansoni. Journal of Molecular Evolution. 46(2). 159–167. 24 indexed citations
20.
Musto, Héctor, et al.. (1994). The compositional compartments of the nuclear genomes of Trypanosoma brucei and T. cruzi. Gene. 151(1-2). 221–224. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Douglas D. Rhoads Breakdown of academic impact, for papers by Simon A. Jackson Breakdown of academic impact, for papers by Miguel Pinheiro Breakdown of academic impact, for papers by Svenn D’Hert Breakdown of academic impact, for papers by Gordon Stephen Breakdown of academic impact, for papers by Francisco Pereira Lobo Breakdown of academic impact, for papers by Héctor Romero Breakdown of academic impact, for papers by Darius Kazlauskas Breakdown of academic impact, for papers by Bixing Huang Breakdown of academic impact, for papers by Gal Ofir
Rankless by CCL
2026