Roberto Vera Alvarez

3.3k total citations · 1 hit paper
34 papers, 1.6k citations indexed

About

Roberto Vera Alvarez is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Roberto Vera Alvarez has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Spectroscopy. Recurrent topics in Roberto Vera Alvarez's work include Genomics and Phylogenetic Studies (10 papers), Bioinformatics and Genomic Networks (6 papers) and Advanced Proteomics Techniques and Applications (5 papers). Roberto Vera Alvarez is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Bioinformatics and Genomic Networks (6 papers) and Advanced Proteomics Techniques and Applications (5 papers). Roberto Vera Alvarez collaborates with scholars based in United States, Hungary and Italy. Roberto Vera Alvarez's co-authors include David Landsman, Michael Y. Galperin, Yuri I. Wolf, Eugene V. Koonin, Kira S. Makarova, Leonardo Mariño‐Ramírez, Lőrinc Sándor Pongor, Sándor Pongor, Balázs Ligeti and Yasset Pérez‐Riverol and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Roberto Vera Alvarez

32 papers receiving 1.5k citations

Hit Papers

COG database update: focus on microbial diversity, model ... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers

Roberto Vera Alvarez
Barış Ethem Süzek United States
Mark D’Souza United States
Gopal Gopinath United States
Mahmut Uludağ Saudi Arabia
Michele Magrane United Kingdom
Valerie Wood United Kingdom
Sylvain Poux Switzerland
Emmanuel Boutet Switzerland
Barış Ethem Süzek United States
Roberto Vera Alvarez
Citations per year, relative to Roberto Vera Alvarez Roberto Vera Alvarez (= 1×) peers Barış Ethem Süzek

Countries citing papers authored by Roberto Vera Alvarez

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Vera Alvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Vera Alvarez. 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 Roberto Vera Alvarez. The network helps show where Roberto Vera Alvarez may publish in the future.

Co-authorship network of co-authors of Roberto Vera Alvarez

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Vera Alvarez. A scholar is included among the top collaborators of Roberto Vera Alvarez 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 Roberto Vera Alvarez. Roberto Vera Alvarez 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.
García‐Pérez, Ana L., D. Ferrer, Jesús F. Barandika, et al.. (2025). Combination of serology and PCR analysis of environmental samples to assess Coxiella burnetii infection status in small ruminant farms. Applied and Environmental Microbiology. 91(10). e0093125–e0093125.
2.
Wang, Min, Josephine C. Ferreon, Phoebe S. Tsoi, et al.. (2025). Structural proteomics defines a sequential priming mechanism for the progesterone receptor. Nature Communications. 16(1). 4403–4403.
3.
Galperin, Michael Y., Roberto Vera Alvarez, Svetlana Karamycheva, et al.. (2024). COG database update 2024. Nucleic Acids Research. 53(D1). D356–D363. 32 indexed citations
4.
Alvarez, Roberto Vera & David Landsman. (2024). GTax: improving de novo transcriptome assembly by removing foreign RNA contamination. Genome biology. 25(1). 12–12. 1 indexed citations
5.
Boratyn, Grzegorz M., et al.. (2023). ElasticBLAST: accelerating sequence search via cloud computing. BMC Bioinformatics. 24(1). 117–117. 60 indexed citations
6.
Galperin, Michael Y., Natalya Yutin, Yuri I. Wolf, Roberto Vera Alvarez, & Eugene V. Koonin. (2022). Conservation and Evolution of the Sporulation Gene Set in Diverse Members of the Firmicutes. Journal of Bacteriology. 204(6). e0007922–e0007922. 43 indexed citations
7.
Pongor, Lőrinc Sándor, Roberto Vera Alvarez, Junko Murai, et al.. (2020). BAMscale: quantification of next-generation sequencing peaks and generation of scaled coverage tracks. Epigenetics & Chromatin. 13(1). 21–21. 38 indexed citations
8.
Zhang, Ning, Yuting Chen, Feiyang Zhao, et al.. (2020). MutaBind2: Predicting the Impacts of Single and Multiple Mutations on Protein-Protein Interactions. iScience. 23(3). 100939–100939. 122 indexed citations
9.
10.
Alvarez, Roberto Vera, Lőrinc Sándor Pongor, Leonardo Mariño‐Ramírez, & David Landsman. (2018). TPMCalculator: one-step software to quantify mRNA abundance of genomic features. Bioinformatics. 35(11). 1960–1962. 145 indexed citations
11.
Li, Shan, Roberto Vera Alvarez, Roded Sharan, David Landsman, & Ivan Ovcharenko. (2016). Quantifying deleterious effects of regulatory variants. Nucleic Acids Research. 45(5). gkw1263–gkw1263. 11 indexed citations
12.
Ligeti, Balázs, Roberto Vera Alvarez, János Juhász, & Sándor Pongor. (2016). CX, DPX, and PCW: Web Servers for the Visualization of Interior and Protruding Regions of Protein Structures in 3D and 1D. Methods in molecular biology. 1484. 301–309. 4 indexed citations
13.
Hudaiberdiev, Sanjarbek, Kumari Sonal Choudhary, Roberto Vera Alvarez, et al.. (2015). Census of solo LuxR genes in prokaryotic genomes. Frontiers in Cellular and Infection Microbiology. 5. 20–20. 67 indexed citations
14.
Ligeti, Balázs, et al.. (2015). A Network-Based Target Overlap Score for Characterizing Drug Combinations: High Correlation with Cancer Clinical Trial Results. PLoS ONE. 10(6). e0129267–e0129267. 8 indexed citations
15.
Pongor, Lőrinc Sándor, Roberto Vera Alvarez, & Balázs Ligeti. (2014). Fast and Sensitive Alignment of Microbial Whole Genome Sequencing Reads to Large Sequence Datasets on a Desktop PC: Application to Metagenomic Datasets and Pathogen Identification. PLoS ONE. 9(7). e103441–e103441. 8 indexed citations
16.
Dogša, Iztok, Kumari Sonal Choudhary, Sanjarbek Hudaiberdiev, et al.. (2014). ComQXPA Quorum Sensing Systems May Not Be Unique to Bacillus subtilis: A Census in Prokaryotic Genomes. PLoS ONE. 9(5). e96122–e96122. 35 indexed citations
17.
Alvarez, Roberto Vera, Yasset Pérez‐Riverol, Stephanie M. Perez, et al.. (2013). JBioWH: an open-source Java framework for bioinformatics data integration. Database. 2013(0). bat051–bat051. 7 indexed citations
18.
Pérez‐Riverol, Yasset, et al.. (2012). A Parallel Systematic-Monte Carlo Algorithm for Exploring Conformational Space. Current Topics in Medicinal Chemistry. 12(16). 1790–1796. 4 indexed citations
19.
Pérez‐Riverol, Yasset, Aniel Sánchez, Yassel Ramos, et al.. (2011). In silico analysis of accurate proteomics, complemented by selective isolation of peptides. Journal of Proteomics. 74(10). 2071–2082. 30 indexed citations
20.
Alvarez, Roberto Vera, et al.. (2003). El cuestionario de Calidad de Vida para cáncer colorectal EORTC QLQ-CR38. Estudio de validación para nuestro país. 26(9). 37–44. 5 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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