Eduardo Larriba

785 total citations
29 papers, 499 citations indexed

About

Eduardo Larriba is a scholar working on Plant Science, Molecular Biology and Cancer Research. According to data from OpenAlex, Eduardo Larriba has authored 29 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 18 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Eduardo Larriba's work include Plant Molecular Biology Research (7 papers), MicroRNA in disease regulation (6 papers) and Chromosomal and Genetic Variations (6 papers). Eduardo Larriba is often cited by papers focused on Plant Molecular Biology Research (7 papers), MicroRNA in disease regulation (6 papers) and Chromosomal and Genetic Variations (6 papers). Eduardo Larriba collaborates with scholars based in Spain, United States and Chile. Eduardo Larriba's co-authors include Jesús del Mazo, Luis V. Lopez‐Llorca, José Martín‐Nieto, Corey Nislow, Miguel A. Brieño‐Enríquez, Daniel Fernández-Pérez, José Manuel Pérez‐Pérez, Eduardo Rial, Ricardo D. Moreno and Joaquı́n Dopazo and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Applied Microbiology and Biotechnology.

In The Last Decade

Eduardo Larriba

28 papers receiving 490 citations

Peers

Eduardo Larriba

HTM

Yitang Yan United States

Cindy Choi United States

Kathleen DeBoer Australia

J. M. Spitsbergen United States

Erich Heidenreich Austria

Lei Jia China

Andrew A. Hobbs Australia

N.K. Todd United Kingdom

Jin Xia China

Yitang Yan United States

Eduardo Larriba

160 ×0.6

292 ×1.2

8 ×0.1

87 ×1.1

55 ×1.3

HTM

Citations per year, relative to Eduardo Larriba Eduardo Larriba (= 1×) peers Yitang Yan

Countries citing papers authored by Eduardo Larriba

Since Specialization

Citations

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

Fields of papers citing papers by Eduardo Larriba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Larriba

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Larriba. A scholar is included among the top collaborators of Eduardo Larriba 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 Eduardo Larriba. Eduardo Larriba 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

Larriba, Eduardo, et al.. (2025). Transcriptional Profiling to Assess the Effects of Biological Stimulant Atlanticell Micomix on Tomato Seedlings Under Salt Stress. Plants. 14(8). 1198–1198. 1 indexed citations

Larriba, Eduardo, et al.. (2025). A systematic review to identify target genes that modulate root system architecture in response to abiotic stress. Scientific Reports. 15(1). 13219–13219. 2 indexed citations

Larriba, Eduardo, Camino de Juan Romero, Araceli García‐Martínez, et al.. (2024). Identification of new targets for glioblastoma therapy based on a DNA expression microarray. Computers in Biology and Medicine. 179. 108833–108833.

Kevei, Zoltán, Eduardo Larriba, Fady Mohareb, et al.. (2024). Genes involved in auxin biosynthesis, transport and signalling underlie the extreme adventitious root phenotype of the tomato aer mutant. Theoretical and Applied Genetics. 137(4). 76–76. 3 indexed citations

Larriba, Eduardo, José Manuel Pérez‐Pérez, Tariq Pervaiz, et al.. (2024). Temporal profiling of physiological, histological, and transcriptomic dissection during auxin-induced adventitious root formation in tetraploid Robinia pseudoacacia micro-cuttings. Planta. 259(3). 66–66. 3 indexed citations

Larriba, Eduardo, et al.. (2024). Recent Advances in Tomato Gene Editing. International Journal of Molecular Sciences. 25(5). 2606–2606. 6 indexed citations

Pasternak, Taras, et al.. (2023). Optimization of Callus Induction and Shoot Regeneration from Tomato Cotyledon Explants. Plants. 12(16). 2942–2942. 11 indexed citations

Larriba, Eduardo, et al.. (2022). Unraveling mitochondrial piRNAs in mouse embryonic gonadal cells. Scientific Reports. 12(1). 10730–10730. 4 indexed citations

Larriba, Eduardo, et al.. (2022). Transcriptomic and hormonal analysis of the roots of maize seedlings grown hydroponically at low temperature. Plant Science. 326. 111525–111525. 11 indexed citations

10.

Larriba, Eduardo, et al.. (2021). piRNA-IPdb: a PIWI-bound piRNAs database to mining NGS sncRNA data and beyond. BMC Genomics. 22(1). 765–765. 11 indexed citations

11.

Larriba, Eduardo, et al.. (2019). Combined proteomic and miRNome analyses of mouse testis exposed to an endocrine disruptors chemicals mixture reveals altered toxicological pathways involved in male infertility. Molecular Human Reproduction. 25(3). 156–169. 13 indexed citations

12.

Larriba, Eduardo & Jesús del Mazo. (2018). An integrative piRNA analysis of mouse gametes and zygotes reveals new potential origins and gene regulatory roles. Scientific Reports. 8(1). 12832–12832. 17 indexed citations

13.

Barberá, Víctor Manuel, et al.. (2018). A phylogenetic approach to the Philippines endemic centipedes of the genus Scolopendra Linnaeus, 1758 (Scolopendromorpha, Scolopendridae), with the description of a new species. Zootaxa. 4483(3). 401–427. 3 indexed citations

14.

Larriba, Eduardo, Eduardo Rial, & Jesús del Mazo. (2018). The landscape of mitochondrial small non-coding RNAs in the PGCs of male mice, spermatogonia, gametes and in zygotes. BMC Genomics. 19(1). 634–634. 32 indexed citations

15.

Fernández-Pérez, Daniel, et al.. (2017). Cellular and molecular characterization of gametogenic progression in ex vivo cultured prepuberal mouse testes. Reproductive Biology and Endocrinology. 15(1). 85–85. 17 indexed citations

16.

Larriba, Eduardo, et al.. (2017). Chronic low-dose exposure to a mixture of environmental endocrine disruptors induces microRNAs/isomiRs deregulation in mouse concomitant with intratesticular estradiol reduction. Scientific Reports. 7(1). 3373–3373. 33 indexed citations

17.

Larriba, Eduardo & Jesús del Mazo. (2016). Role of Non-Coding RNAs in the Transgenerational Epigenetic Transmission of the Effects of Reprotoxicants. International Journal of Molecular Sciences. 17(4). 452–452. 33 indexed citations

18.

Brieño‐Enríquez, Miguel A., Eduardo Larriba, & Jesús del Mazo. (2016). Endocrine disrupters, microRNAs, and primordial germ cells: a dangerous cocktail. Fertility and Sterility. 106(4). 871–879. 16 indexed citations

19.

Larriba, Eduardo, José Carbonell‐Caballero, Ana Conesa, et al.. (2014). Sequencing and functional analysis of the genome of a nematode egg-parasitic fungus, Pochonia chlamydosporia. Fungal Genetics and Biology. 65. 69–80. 78 indexed citations

20.

Palma‐Guerrero, Javier, et al.. (2010). Chitosan increases conidiation in fungal pathogens of invertebrates. Applied Microbiology and Biotechnology. 87(6). 2237–2245. 11 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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