Igor Pacheco

1.5k total citations
34 papers, 954 citations indexed

About

Igor Pacheco is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Igor Pacheco has authored 34 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 20 papers in Molecular Biology and 4 papers in Biochemistry. Recurrent topics in Igor Pacheco's work include Plant Physiology and Cultivation Studies (16 papers), Postharvest Quality and Shelf Life Management (11 papers) and Plant Reproductive Biology (11 papers). Igor Pacheco is often cited by papers focused on Plant Physiology and Cultivation Studies (16 papers), Postharvest Quality and Shelf Life Management (11 papers) and Plant Reproductive Biology (11 papers). Igor Pacheco collaborates with scholars based in Chile, Italy and Spain. Igor Pacheco's co-authors include D. Bassi, Laura Rossini, Iban Eduardo, Alberto Vecchietti, Raul Pirona, Cássia da Silva Linge, Giorgiana Chietera, Carlo Pozzi, Ignazio Verde and Rodrigo Infante and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and The Plant Journal.

In The Last Decade

Igor Pacheco

32 papers receiving 923 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Pacheco Chile 15 832 434 156 122 69 34 954
Pablo Aleza Spain 22 1.1k 1.4× 756 1.7× 95 0.6× 115 0.9× 60 0.9× 56 1.3k
Gengrui Zhu China 13 731 0.9× 509 1.2× 101 0.6× 62 0.5× 118 1.7× 33 924
Ziniu Deng China 6 582 0.7× 419 1.0× 155 1.0× 67 0.5× 75 1.1× 10 789
Monika Höfer Germany 18 640 0.8× 411 0.9× 132 0.8× 116 1.0× 30 0.4× 69 734
Andrés García-Lor Spain 15 701 0.8× 472 1.1× 198 1.3× 74 0.6× 84 1.2× 35 922
Masami Yamaguchi Japan 22 1.0k 1.2× 592 1.4× 128 0.8× 230 1.9× 51 0.7× 46 1.2k
Claire T. Federici United States 13 941 1.1× 474 1.1× 251 1.6× 114 0.9× 170 2.5× 21 1.1k
Hoy‐Taek Kim South Korea 20 990 1.2× 588 1.4× 119 0.8× 97 0.8× 148 2.1× 91 1.2k
Paolo De Franceschi Italy 15 603 0.7× 486 1.1× 58 0.4× 160 1.3× 99 1.4× 34 788
A. G. Manganaris Greece 15 583 0.7× 248 0.6× 183 1.2× 128 1.0× 86 1.2× 27 677

Countries citing papers authored by Igor Pacheco

Since Specialization
Citations

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

Fields of papers citing papers by Igor Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Pacheco

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Pacheco. A scholar is included among the top collaborators of Igor Pacheco 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 Igor Pacheco. Igor Pacheco 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.
Dare, Andrew P., Paulina Ballesta, Lee A. Meisel, et al.. (2025). Systematic characterization of the bZIP transcription factor family of Japanese plum (Prunus salicina Lindl.) and their potential role in phenolic compound biosynthesis. Scientia Horticulturae. 341. 113962–113962. 1 indexed citations
2.
Ballesta, Paulina, et al.. (2025). Genomic prediction of phenological and fruit-quality traits in a multi-family Japanese plum breeding population. Horticultural Plant Journal. 1 indexed citations
3.
Infante, Rodrigo, et al.. (2025). A Japanese Plum Breeding Core Collection Capturing and Exploiting Genetic Variation. Agriculture. 15(13). 1369–1369.
4.
Ballesta, Paulina, Lee A. Meisel, Álvaro Peña‐Neira, et al.. (2024). The R2R3 MYB700 activates the expression of biosynthetic genes involved in the accumulation of (+)-catechin but not (-)-epicatechin in Chinese plum fruits (Prunus salicina Lindl.). Scientia Horticulturae. 338. 113798–113798. 2 indexed citations
5.
Pacheco, Igor, et al.. (2022). An LTR retrotransposon in the promoter of a PsMYB10.2 gene associated with the regulation of fruit flesh color in Japanese plum. Horticulture Research. 9. uhac206–uhac206. 14 indexed citations
6.
Salazar, Juan Alfonso, Isaac Cho, Claudio Gardana, et al.. (2022). An Upgraded, Highly Saturated Linkage Map of Japanese Plum (Prunus salicina Lindl.), and Identification of a New Major Locus Controlling the Flavan-3-ol Composition in Fruits. Frontiers in Plant Science. 13. 805744–805744. 6 indexed citations
9.
Salazar, Juan Alfonso, Claudia Silva, Claudio Gardana, et al.. (2021). Detection of Quantitative Trait Loci Controlling the Content of Phenolic Compounds in an Asian Plum (Prunus salicina L.) F1 Population. Frontiers in Plant Science. 12. 679059–679059. 14 indexed citations
10.
Caruffo, Mario, Dinka Mandaković, Pablo Cabrera, et al.. (2020). Insights into gene expression responses to infections in teleosts using microarray data: a systematic review. Reviews in Aquaculture. 13(1). 18–42. 1 indexed citations
11.
Salazar, Juan Alfonso, et al.. (2020). Identification of loci controlling phenology, fruit quality and post-harvest quantitative parameters in Japanese plum (Prunus salicina Lindl.). Postharvest Biology and Technology. 169. 111292–111292. 21 indexed citations
12.
Uribe, Rodrigo, et al.. (2020). Do Consumers Evaluate New and Existing Fruit Varieties in the Same Way? Modeling the Role of Search and Experience Intrinsic Attributes. Journal of Food Products Marketing. 26(8). 521–534. 9 indexed citations
13.
Salazar, Juan Alfonso, Igor Pacheco, Claudia Silva, et al.. (2018). Development and applicability of GBS approach for genomic studies in Japanese plum (Prunus salicina Lindl.). The Journal of Horticultural Science and Biotechnology. 94(3). 284–294. 6 indexed citations
14.
Salazar, Juan Alfonso, Igor Pacheco, Claudia Silva, et al.. (2017). Genotyping by Sequencing for SNP-Based Linkage Analysis and Identification of QTLs Linked to Fruit Quality Traits in Japanese Plum (Prunus salicina Lindl.). Frontiers in Plant Science. 8. 476–476. 59 indexed citations
15.
Avila, Luis Antônio de, et al.. (2017). Leaching and residual activity of imidazolinone herbicides in lowland soils. Ciência Rural. 47(5). 17 indexed citations
16.
Biscarini, Filippo, Nelson Nazzicari, M.C.A.M. Bink, et al.. (2017). Genome-enabled predictions for fruit weight and quality from repeated records in European peach progenies. BMC Genomics. 18(1). 432–432. 59 indexed citations
17.
Pacheco, Igor, et al.. (2015). TOWARDS FASTER PHENOTYPING METHODS FOR BROWN ROT SUSCEPTIBILITY BY ARTIFICIAL INOCULATION IN THE ORCHARD. Acta Horticulturae. 367–374. 3 indexed citations
18.
Vendramin, Elisa, Giorgio Pea, Luca Dondini, et al.. (2014). A Unique Mutation in a MYB Gene Cosegregates with the Nectarine Phenotype in Peach. PLoS ONE. 9(3). e90574–e90574. 78 indexed citations
19.
Pirona, Raul, Iban Eduardo, Igor Pacheco, et al.. (2013). Fine mapping and identification of a candidate gene for a major locus controlling maturity date in peach. BMC Plant Biology. 13(1). 166–166. 102 indexed citations
20.
González-Agüero, Mauricio, Leonardo Pavéz, Igor Pacheco, et al.. (2008). Identification of woolliness response genes in peach fruit after post-harvest treatments. Journal of Experimental Botany. 59(8). 1973–1986. 69 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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