Enrique Ibarra‐Laclette

5.6k total citations
85 papers, 2.7k citations indexed

About

Enrique Ibarra‐Laclette is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Enrique Ibarra‐Laclette has authored 85 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Plant Science, 32 papers in Molecular Biology and 18 papers in Insect Science. Recurrent topics in Enrique Ibarra‐Laclette's work include Plant-Microbe Interactions and Immunity (18 papers), Plant Molecular Biology Research (14 papers) and Plant Pathogens and Fungal Diseases (10 papers). Enrique Ibarra‐Laclette is often cited by papers focused on Plant-Microbe Interactions and Immunity (18 papers), Plant Molecular Biology Research (14 papers) and Plant Pathogens and Fungal Diseases (10 papers). Enrique Ibarra‐Laclette collaborates with scholars based in Mexico, United States and Spain. Enrique Ibarra‐Laclette's co-authors include Luís Herrera‐Estrella, Alfredo Cruz‐Ramírez, Carlos Calderón‐Vázquez, Claudia-Anahí Pérez-Torres, José López‐Bucio, Alfredo Herrera‐Estrella, Mark Estelle, Sunethra Dharmasiri, Marco Antonio Leyva‐González and June Simpson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Enrique Ibarra‐Laclette

84 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enrique Ibarra‐Laclette Mexico 28 2.1k 918 317 207 162 85 2.7k
Shawn A. Christensen United States 28 2.0k 0.9× 963 1.0× 852 2.7× 263 1.3× 213 1.3× 60 2.6k
Charles A. Leslie United States 35 2.4k 1.1× 1.4k 1.6× 183 0.6× 211 1.0× 231 1.4× 98 3.4k
Rajendra Bari Germany 7 4.3k 2.0× 1.5k 1.7× 411 1.3× 204 1.0× 75 0.5× 7 4.7k
Paramjit Khurana India 36 3.1k 1.5× 2.5k 2.7× 254 0.8× 237 1.1× 393 2.4× 137 4.1k
Eli J. Borrego United States 19 1.3k 0.6× 503 0.5× 414 1.3× 98 0.5× 87 0.5× 35 1.6k
Yube Yamaguchi Japan 29 2.7k 1.3× 1.6k 1.8× 163 0.5× 97 0.5× 84 0.5× 47 3.3k
Zeng‐Fu Xu China 30 1.6k 0.8× 1.7k 1.8× 126 0.4× 177 0.9× 103 0.6× 113 2.4k
Yumiko Takebayashi Japan 36 3.4k 1.6× 1.9k 2.1× 164 0.5× 381 1.8× 118 0.7× 92 3.8k
Zhen‐Hui Gong China 37 3.3k 1.5× 2.2k 2.4× 160 0.5× 82 0.4× 226 1.4× 109 4.0k
Ivo Rieu Netherlands 28 3.7k 1.8× 2.4k 2.6× 229 0.7× 338 1.6× 235 1.5× 41 4.1k

Countries citing papers authored by Enrique Ibarra‐Laclette

Since Specialization
Citations

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

Fields of papers citing papers by Enrique Ibarra‐Laclette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enrique Ibarra‐Laclette. 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 Enrique Ibarra‐Laclette. The network helps show where Enrique Ibarra‐Laclette may publish in the future.

Co-authorship network of co-authors of Enrique Ibarra‐Laclette

This figure shows the co-authorship network connecting the top 25 collaborators of Enrique Ibarra‐Laclette. A scholar is included among the top collaborators of Enrique Ibarra‐Laclette 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 Enrique Ibarra‐Laclette. Enrique Ibarra‐Laclette 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.
Ramírez‐Barahona, Santiago, et al.. (2025). Comparative plastomes of five Psittacanthus species: genome organization, structural features, and patterns of pseudogenization and gene loss. AoB Plants. 17(4). plaf032–plaf032. 1 indexed citations
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Elizalde‐Contreras, José M., Juan L. Monribot‐Villanueva, José A. Guerrero‐Analco, et al.. (2024). Towards Characterization of Hass Avocado Peel and Pulp Proteome during Postharvest Shelf Life. Proteomes. 12(4). 28–28. 3 indexed citations
4.
Pérez-Torres, Claudia-Anahí, et al.. (2024). Genome-Wide Transcriptional Response of Avocado to Fusarium sp. Infection. Plants. 13(20). 2886–2886. 2 indexed citations
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Ibarra‐Laclette, Enrique, et al.. (2024). Unravelling transcriptional responses of the willow to Fusarium kuroshium infection. Physiological and Molecular Plant Pathology. 133. 102379–102379. 1 indexed citations
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Carreras-Villaseñor, Nohemí, et al.. (2023). The biological relevance of the FspTF transcription factor, homologous of Bqt4, in Fusarium sp. associated with the ambrosia beetle Xylosandrus morigerus. Frontiers in Microbiology. 14. 1224096–1224096. 1 indexed citations
9.
López‐Bucio, José, Randy Ortiz‐Castro, Javier Raya‐González, et al.. (2023). Pseudomonas aeruginosa LasI-dependent plant growth promotion requires the host nitrate transceptor AtNRT1.1/CHL1 and the nitrate reductases NIA1 and NIA2. Planta. 258(4). 80–80. 1 indexed citations
10.
Monribot‐Villanueva, Juan L., et al.. (2023). Non-Targeted Metabolomic Analysis of Arabidopsis thaliana (L.) Heynh: Metabolic Adaptive Responses to Stress Caused by N Starvation. Metabolites. 13(9). 1021–1021. 1 indexed citations
11.
Aluja, Martı́n, Daniel Cerqueda‐García, Juan L. Monribot‐Villanueva, et al.. (2023). Assessment of the Molecular Responses of an Ancient Angiosperm against Atypical Insect Oviposition: The Case of Hass Avocados and the Tephritid Fly Anastrepha ludens. International Journal of Molecular Sciences. 24(3). 2060–2060. 6 indexed citations
12.
Arenas‐Huertero, Catalina, et al.. (2023). LncRNA-encoded peptides: the case of the lncRNA gene located downstream of EIN2. Functional & Integrative Genomics. 23(2). 108–108. 1 indexed citations
13.
Quiroz‐Figueroa, Francisco Roberto, et al.. (2023). Cell wall-related genes and lignin accumulation contribute to the root resistance in different maize (Zea mays L.) genotypes to Fusarium verticillioides (Sacc.) Nirenberg infection. Frontiers in Plant Science. 14. 1195794–1195794. 6 indexed citations
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Góngora‐Castillo, Elsa, Enrique Ibarra‐Laclette, Matthieu Bourdon, et al.. (2022). Transcriptome Mining Provides Insights into Cell Wall Metabolism and Fiber Lignification in Agave tequilana Weber. Plants. 11(11). 1496–1496. 3 indexed citations
16.
Nicasio-Torres, Pilar, et al.. (2020). Integrated Analysis of the Transcriptome and Metabolome of Cecropia obtusifolia: A Plant with High Chlorogenic Acid Content Traditionally Used to Treat Diabetes Mellitus. International Journal of Molecular Sciences. 21(20). 7572–7572. 11 indexed citations
17.
Mata‐Rosas, Martín, Francisco Roberto Quiroz‐Figueroa, Aldo Segura‐Cabrera, et al.. (2020). Phenylpropanoids Are Connected to Cell Wall Fortification and Stress Tolerance in Avocado Somatic Embryogenesis. International Journal of Molecular Sciences. 21(16). 5679–5679. 25 indexed citations
18.
Ibarra‐Laclette, Enrique, et al.. (2020). Diversity and Composition of the Gut Microbiota in the Developmental Stages of the Dung Beetle Copris incertus Say (Coleoptera, Scarabaeidae). Frontiers in Microbiology. 11. 1698–1698. 51 indexed citations
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Lan, Tianying, Tanya Renner, Enrique Ibarra‐Laclette, et al.. (2017). Long-read sequencing uncovers the adaptive topography of a carnivorous plant genome. Proceedings of the National Academy of Sciences. 114(22). E4435–E4441. 65 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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