Oscar E. Juárez

422 total citations
24 papers, 287 citations indexed

About

Oscar E. Juárez is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Oscar E. Juárez has authored 24 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, Evolution, Behavior and Systematics, 11 papers in Ecology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Oscar E. Juárez's work include Cephalopods and Marine Biology (16 papers), Neurobiology and Insect Physiology Research (8 papers) and Physiological and biochemical adaptations (7 papers). Oscar E. Juárez is often cited by papers focused on Cephalopods and Marine Biology (16 papers), Neurobiology and Insect Physiology Research (8 papers) and Physiological and biochemical adaptations (7 papers). Oscar E. Juárez collaborates with scholars based in Mexico, Chile and Spain. Oscar E. Juárez's co-authors include Clara E. Galindo‐Sánchez, Carlos Rosas, Fernando Dı́az, Claudia Caamal‐Monsreal, Fabiola Lafarga‐De la Cruz, Leticia Arena, Gabriela Rodríguez‐Fuentes, Maité Mascaró, Asunción Lago‐Lestón and Ana M. Ibarra and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Aquaculture.

In The Last Decade

Oscar E. Juárez

21 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oscar E. Juárez Mexico 11 198 149 102 79 38 24 287
Billy Sinclair Australia 6 129 0.7× 135 0.9× 50 0.5× 43 0.5× 43 1.1× 7 306
Marı́a Eugenia Chimal Mexico 9 119 0.6× 190 1.3× 59 0.6× 61 0.8× 17 0.4× 10 365
Gustavo Sánchez Japan 11 159 0.8× 91 0.6× 39 0.4× 41 0.5× 48 1.3× 27 280
Ricardo Tafur Peru 14 414 2.1× 341 2.3× 105 1.0× 256 3.2× 29 0.8× 18 519
Omar Hernando Avila‐Poveda Mexico 14 261 1.3× 155 1.0× 90 0.9× 186 2.4× 18 0.5× 39 507
Toshie Wakabayashi Japan 8 122 0.6× 88 0.6× 13 0.1× 46 0.6× 22 0.6× 13 163
María Edith Ré Argentina 11 151 0.8× 118 0.8× 30 0.3× 160 2.0× 7 0.2× 18 288
Juan Carlos Arronte Spain 10 104 0.5× 96 0.6× 26 0.3× 165 2.1× 19 0.5× 50 374
Jaruwat Nabhitabhata Thailand 9 186 0.9× 96 0.6× 43 0.4× 54 0.7× 15 0.4× 21 215
Shigenobu Okumura Japan 7 258 1.3× 35 0.2× 78 0.8× 43 0.5× 31 0.8× 14 347

Countries citing papers authored by Oscar E. Juárez

Since Specialization
Citations

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

Fields of papers citing papers by Oscar E. Juárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oscar E. Juárez. 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 Oscar E. Juárez. The network helps show where Oscar E. Juárez may publish in the future.

Co-authorship network of co-authors of Oscar E. Juárez

This figure shows the co-authorship network connecting the top 25 collaborators of Oscar E. Juárez. A scholar is included among the top collaborators of Oscar E. Juárez 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 Oscar E. Juárez. Oscar E. Juárez 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.
Juárez, Oscar E., et al.. (2025). The interplay among space, environment, and gene flow drives genetic differentiation in endemic Baja California Agave sobria subspecies. American Journal of Botany. 112(7). e70062–e70062.
2.
Juárez, Oscar E., et al.. (2025). Key neuropeptide and neuroendocrine pathways of the optic lobe are affected by high temperatures in the female Octopus maya. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 56. 101649–101649.
3.
Galindo‐Sánchez, Clara E., Alma Paola Rodríguez‐Troncoso, Rafael A. Cabral‐Tena, et al.. (2025). Physiological acclimation of Porites panamensis (Scleractinia: Poritidae) under high-latitude marginal conditions. Ciencias Marinas. 50(1B).
4.
Juárez, Oscar E., et al.. (2024). Transcriptome characterization of Pocillopora grandis transplanted into reefs with different health conditions: potential stress indicators at the holobiont level. Latin American Journal of Aquatic Research. 52(1). 119–149. 1 indexed citations
5.
Pérez-Enríquez, Ricardo, et al.. (2024). Improved genome assembly of the whiteleg shrimp Penaeus (Litopenaeus) vannamei using long- and short-read sequences from public databases. Journal of Heredity. 115(3). 302–310. 5 indexed citations
6.
Mascaró, Maité, Gabriela Rodríguez‐Fuentes, Oscar E. Juárez, et al.. (2023). Trans-generational physiological condition of embryos is conditioned by maternal thermal stress in Octopus maya. Marine Biology. 170(4). 10 indexed citations
7.
8.
9.
Rosas, Carlos, et al.. (2022). Sex-specific role of the optic gland in octopus maya: A transcriptomic analysis. General and Comparative Endocrinology. 320. 114000–114000. 8 indexed citations
10.
11.
Juárez, Oscar E., et al.. (2021). Development of SNP markers for identification of thermo-resistant families of the Pacific oyster Crassostrea gigas based on RNA-seq. Aquaculture. 539. 736618–736618. 17 indexed citations
12.
Juárez, Oscar E., et al.. (2019). Transcriptomic Analysis Reveals Insights on Male Infertility in Octopus maya Under Chronic Thermal Stress. Frontiers in Physiology. 9. 1920–1920. 13 indexed citations
13.
Juárez, Oscar E., et al.. (2019). Octopus maya white body show sex-specific transcriptomic profiles during the reproductive phase, with high differentiation in signaling pathways. PLoS ONE. 14(5). e0216982–e0216982. 14 indexed citations
14.
Galindo‐Sánchez, Clara E., Alberto Olivares, Omar Hernando Avila‐Poveda, et al.. (2018). Reproductive performance of Octopus maya males conditioned by thermal stress. Ecological Indicators. 96. 437–447. 20 indexed citations
15.
Juárez, Oscar E., Fabiola Lafarga‐De la Cruz, Ignacio Leyva-Valencia, et al.. (2018). Transcriptomic and metabolic response to chronic and acute thermal exposure of juvenile geoduck clams Panopea globosa. Marine Genomics. 42. 1–13. 27 indexed citations
16.
Rodríguez‐Fuentes, Gabriela, Fernando Dı́az, Clara E. Galindo‐Sánchez, et al.. (2016). Thermal sensitivity of O. maya embryos as a tool for monitoring the effects of environmental warming in the Southern of Gulf of Mexico. Ecological Indicators. 72. 574–585. 34 indexed citations
17.
Juárez, Oscar E., et al.. (2015). Is temperature conditioning Octopus maya fitness?. Journal of Experimental Marine Biology and Ecology. 467. 71–76. 46 indexed citations
18.
Juárez, Oscar E., et al.. (2013). Characterization of microsatellite loci developed for the Mexican four-eyed octopus Octopus maya. Conservation Genetics Resources. 5(3). 803–805. 4 indexed citations
19.
Juárez, Oscar E., et al.. (2012). Phylogenetic relationships of Octopus maya revealed by mtDNA sequences. Ciencias Marinas. 38(3). 563–575. 10 indexed citations
20.
Juárez, Oscar E., Carlos Rosas, & Leticia Arena. (2010). Heterologous microsatellites reveal moderate genetic structure in the Octopus maya population. Fisheries Research. 106(2). 209–213. 15 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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