Mishael Sánchez-Pérez

574 total citations
18 papers, 348 citations indexed

About

Mishael Sánchez-Pérez is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Mishael Sánchez-Pérez has authored 18 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Mishael Sánchez-Pérez's work include Bacterial Genetics and Biotechnology (5 papers), Protein Structure and Dynamics (4 papers) and Bioinformatics and Genomic Networks (3 papers). Mishael Sánchez-Pérez is often cited by papers focused on Bacterial Genetics and Biotechnology (5 papers), Protein Structure and Dynamics (4 papers) and Bioinformatics and Genomic Networks (3 papers). Mishael Sánchez-Pérez collaborates with scholars based in Mexico, United States and Chile. Mishael Sánchez-Pérez's co-authors include Julio Collado‐Vides, Heladia Salgado, Alberto Santos-Zavaleta, David A. Velázquez-Ramírez, James E. Galagan, Socorro Gama‐Castro, Daniela Ledezma-Tejeida, César Bonavides-Martínez, Cecilia Ishida-Gutiérrez and Carlos-Francisco Méndez-Cruz and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Developmental Biology.

In The Last Decade

Mishael Sánchez-Pérez

13 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mishael Sánchez-Pérez Mexico 7 275 148 33 30 22 18 348
Daniela Ledezma-Tejeida Mexico 7 338 1.2× 164 1.1× 61 1.8× 18 0.6× 17 0.8× 8 401
Anna Podgornaia United States 6 268 1.0× 204 1.4× 48 1.5× 19 0.6× 13 0.6× 6 339
Jun Teramoto Japan 9 291 1.1× 182 1.2× 82 2.5× 31 1.0× 14 0.6× 15 362
Viktoriya Shyp Switzerland 8 257 0.9× 138 0.9× 45 1.4× 15 0.5× 12 0.5× 11 316
Augustinas Silale United Kingdom 7 146 0.5× 67 0.5× 61 1.8× 23 0.8× 13 0.6× 11 241
Nicholas C. Butzin United States 12 175 0.6× 83 0.6× 46 1.4× 26 0.9× 10 0.5× 22 276
Aaron M. New United States 8 273 1.0× 121 0.8× 19 0.6× 33 1.1× 37 1.7× 9 342
Dmitry Sitnikov United States 5 383 1.4× 168 1.1× 53 1.6× 84 2.8× 18 0.8× 7 460
Traci L. Haddock United States 6 280 1.0× 93 0.6× 32 1.0× 37 1.2× 19 0.9× 11 367
Ülo Maiväli Estonia 11 337 1.2× 138 0.9× 73 2.2× 14 0.5× 21 1.0× 21 404

Countries citing papers authored by Mishael Sánchez-Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Mishael Sánchez-Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mishael Sánchez-Pérez. 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 Mishael Sánchez-Pérez. The network helps show where Mishael Sánchez-Pérez may publish in the future.

Co-authorship network of co-authors of Mishael Sánchez-Pérez

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

All Works

18 of 18 papers shown
2.
Sánchez-Pérez, Mishael, et al.. (2025). Genomic insights into pigmented Serratia marcescens strains isolated from patients in northeast Mexico. Microbial Pathogenesis. 203. 107456–107456.
3.
Liu, Kuang, et al.. (2025). Symmetries in metabolic networks of Escherichia coli. PNAS Nexus. 4(3). pgaf080–pgaf080.
4.
Leija, Alfonso, Mishael Sánchez-Pérez, Georgina Hernández, et al.. (2025). The Rhizobium etli response regulator CenR is essential for both: Free-life and the rhizobial nitrogen-fixing symbiosis. Microbiological Research. 297. 128159–128159.
6.
Sánchez-Pérez, Mishael, et al.. (2024). Gene expression dynamics during temperature-dependent sex determination in a sea turtle. Developmental Biology. 514. 99–108. 2 indexed citations
7.
Sánchez-Pérez, Mishael, et al.. (2024). Enhancing Escherichia coli abiotic stress resistance through ornithine lipid formation. Applied Microbiology and Biotechnology. 108(1). 288–288. 3 indexed citations
8.
M., Claudio Delgadillo, María Lorena Luna-Guevara, Mario Alberto Martínez‐Núñez, et al.. (2021). Pseudocrossidium replicatum (Taylor) R.H. Zander is a fully desiccation-tolerant moss that expresses an inducible molecular mechanism in response to severe abiotic stress. Plant Molecular Biology. 107(4-5). 387–404. 9 indexed citations
9.
Sánchez-Pérez, Mishael, et al.. (2021). Predicting synchronized gene coexpression patterns from fibration symmetries in gene regulatory networks in bacteria. BMC Bioinformatics. 22(1). 363–363. 8 indexed citations
10.
Correa‐Galeote, David, Mishael Sánchez-Pérez, Mario Ramı́rez, et al.. (2020). A Novel OmpR-Type Response Regulator Controls Multiple Stages of the Rhizobium etli – Phaseolus vulgaris N2-Fixing Symbiosis. Frontiers in Microbiology. 11. 615775–615775. 6 indexed citations
11.
Santos-Zavaleta, Alberto, Ernesto Pérez‐Rueda, Mishael Sánchez-Pérez, David A. Velázquez-Ramírez, & Julio Collado‐Vides. (2019). Tracing the phylogenetic history of the Crl regulon through the Bacteria and Archaea genomes. BMC Genomics. 20(1). 299–299. 7 indexed citations
12.
Santos-Zavaleta, Alberto, Heladia Salgado, Socorro Gama‐Castro, et al.. (2018). RegulonDB v 10.5: tackling challenges to unify classic and high throughput knowledge of gene regulation inE. coliK-12. Nucleic Acids Research. 47(D1). D212–D220. 242 indexed citations
13.
Santos-Zavaleta, Alberto, Mishael Sánchez-Pérez, Heladia Salgado, et al.. (2018). A unified resource for transcriptional regulation in Escherichia coli K-12 incorporating high-throughput-generated binding data into RegulonDB version 10.0. BMC Biology. 16(1). 91–91. 34 indexed citations
14.
Balderas-Martínez, Yalbi Itzel, Fabio Rinaldi, Hilda Solano-Lira, et al.. (2017). Improving biocuration of microRNAs in diseases: a case study in idiopathic pulmonary fibrosis. Database. 2017. 5 indexed citations
15.
Martínez‐Flores, Irma, Deyanira Pérez‐Morales, Mishael Sánchez-Pérez, et al.. (2016). In silico clustering of Salmonella global gene expression data reveals novel genes co-regulated with the SPI-1 virulence genes through HilD. Scientific Reports. 6(1). 37858–37858. 21 indexed citations
16.
Frausto–Solís, Juan, et al.. (2015). Golden Ratio Simulated Annealing for Protein Folding Problem. International Journal of Computational Methods. 12(6). 1550037–1550037. 4 indexed citations
17.
Frausto–Solís, Juan, et al.. (2014). Chaotic Multiquenching Annealing Applied to the Protein Folding Problem. The Scientific World JOURNAL. 2014. 1–11. 3 indexed citations
18.
Frausto–Solís, Juan, et al.. (2013). Threshold temperature tuning Simulated Annealing for Protein Folding Problem in small peptides. Computational and Applied Mathematics. 32(3). 471–482. 4 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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