Héctor Romero

1.7k total citations
26 papers, 1.3k citations indexed

About

Héctor Romero is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Héctor Romero has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Ecology and 6 papers in Genetics. Recurrent topics in Héctor Romero's work include Genomics and Phylogenetic Studies (16 papers), RNA and protein synthesis mechanisms (15 papers) and Microbial Community Ecology and Physiology (5 papers). Héctor Romero is often cited by papers focused on Genomics and Phylogenetic Studies (16 papers), RNA and protein synthesis mechanisms (15 papers) and Microbial Community Ecology and Physiology (5 papers). Héctor Romero collaborates with scholars based in Uruguay, Italy and United States. Héctor Romero's co-authors include Héctor Musto, Alejandro Zavala, Hugo Naya, Giorgio Bernardi, Vadim N. Gladyshev, Yan Zhang, Gustavo Salinas, Fernando Álvarez-Valín, Beatriz Álvarez and Belén Branchiccela and has published in prestigious journals such as Nucleic Acids Research, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Héctor Romero

26 papers receiving 1.3k citations

Peers

Héctor Romero

ECOLO

GENET

EEBS

Pascal Campagne France

Sandy MacDonald United Kingdom

Héctor Musto Uruguay

Ki Hong Kim South Korea

Bharat Bhusan Patnaik South Korea

Weilong Hao United States

Masroor Ellahi Babar Pakistan

Jeremy M. Wells United Kingdom

Lijuan Yin China

Marcos De Donato Venezuela

Pascal Campagne France

Héctor Romero

417 ×0.5

204 ×0.8

ECOLO

246 ×1.1

GENET

394 ×2.9

140 ×1.1

EEBS

Citations per year, relative to Héctor Romero Héctor Romero (= 1×) peers Pascal Campagne

Countries citing papers authored by Héctor Romero

Since Specialization

Citations

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

Fields of papers citing papers by Héctor Romero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Héctor Romero

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

All Works

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20 of 20 papers shown

Castelli, Loreley, Belén Branchiccela, Héctor Romero, Pablo Zunino, & Karina Antúnez. (2021). Seasonal Dynamics of the Honey Bee Gut Microbiota in Colonies Under Subtropical Climate. Microbial Ecology. 83(2). 492–500. 21 indexed citations

Castelli, Loreley, Belén Branchiccela, Ciro Invernizzi, et al.. (2020). Impact of Nutritional Stress on Honeybee Gut Microbiota, Immunity, and Nosema ceranae Infection. Microbial Ecology. 80(4). 908–919. 89 indexed citations

Iriarte, Andrés, et al.. (2013). Trends in amino acid usage across the class Mollicutes. Journal of Biomolecular Structure and Dynamics. 32(1). 65–74. 2 indexed citations

Iriarte, Andrés, et al.. (2010). Selected codon usage bias in members of the class Mollicutes. Gene. 473(2). 110–118. 5 indexed citations

Romero, Héctor, et al.. (2009). Oxygen and Guanine–Cytosine Profiles in Marine Environments. Journal of Molecular Evolution. 69(2). 203–206. 15 indexed citations

Naya, Hugo, et al.. (2007). Trends of Amino Acid Usage in the Proteins from the Human Genome. Journal of Biomolecular Structure and Dynamics. 25(1). 55–59. 14 indexed citations

Musto, Héctor, Hugo Naya, Alejandro Zavala, et al.. (2006). Genomic GC level, optimal growth temperature, and genome size in prokaryotes. Biochemical and Biophysical Research Communications. 347(1). 1–3. 106 indexed citations

Zhang, Yan, Héctor Romero, Gustavo Salinas, & Vadim N. Gladyshev. (2006). Dynamic evolution of selenocysteine utilization in bacteria: a balance between selenoprotein loss and evolution of selenocysteine from redox active cysteine residues. Genome biology. 7(10). R94–R94. 123 indexed citations

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

10.

Zavala, Alejandro, et al.. (2005). Genomic GC content prediction in prokaryotes from a sample of genes. Gene. 357(2). 137–143. 11 indexed citations

11.

Romero, Héctor, Yan Zhang, Vadim N. Gladyshev, & Gustavo Salinas. (2005). Evolution of selenium utilization traits. Genome biology. 6(8). R66–R66. 79 indexed citations

12.

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

13.

Naya, Hugo, et al.. (2004). Correspondence analysis of amino acid usage within the family Bacillaceae. Biochemical and Biophysical Research Communications. 325(4). 1252–1257. 14 indexed citations

14.

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

15.

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

16.

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

17.

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

18.

Romero, Héctor. (2000). Codon usage in Chlamydia trachomatis is the result of strand-specific mutational biases and a complex pattern of selective forces. Nucleic Acids Research. 28(10). 2084–2090. 180 indexed citations

19.

Musto, Héctor, Héctor Romero, Alejandro Zavala, & Giorgio Bernardi. (1999). Compositional Correlations in the Chicken Genome. Journal of Molecular Evolution. 49(3). 325–329. 20 indexed citations

20.

Musto, Héctor, Héctor Romero, Alejandro Zavala, Kamel Jabbari, & Giorgio Bernardi. (1999). Synonymous Codon Choices in the Extremely GC-Poor Genome of Plasmodium falciparum: Compositional Constraints and Translational Selection. Journal of Molecular Evolution. 49(1). 27–35. 55 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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