José I. Ibeas

3.8k total citations
35 papers, 2.0k citations indexed

About

José I. Ibeas is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, José I. Ibeas has authored 35 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 24 papers in Plant Science and 7 papers in Food Science. Recurrent topics in José I. Ibeas's work include Fungal and yeast genetics research (17 papers), Plant-Microbe Interactions and Immunity (16 papers) and Fermentation and Sensory Analysis (7 papers). José I. Ibeas is often cited by papers focused on Fungal and yeast genetics research (17 papers), Plant-Microbe Interactions and Immunity (16 papers) and Fermentation and Sensory Analysis (7 papers). José I. Ibeas collaborates with scholars based in Spain, United States and Japan. José I. Ibeas's co-authors include Juan Jiménez, Ray A. Bressan, Meena L. Narasimhan, Barbara Damsz, Paul M. Hasegawa, Ramón Ramos Barrales, Alfonso Fernández-Álvarez, José M. Pardo, Paola Veronese and Hyeseung Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Molecular Cell.

In The Last Decade

José I. Ibeas

35 papers receiving 1.9k citations

Peers

José I. Ibeas

PHARM

Romy Scholz Germany

Helmut Junge Germany

Simeon O. Kotchoni United States

Tomoya Yoshinari Japan

Philippe Simoneau France

Yueqiu He China

Esther Badosa Spain

Veronika Nagl Austria

Ana M. Maldonado‐Alconada Spain

Romy Scholz Germany

José I. Ibeas

1.3k ×1.0

1.0k ×0.9

354 ×0.8

229 ×1.0

335 ×3.2

PHARM

Citations per year, relative to José I. Ibeas José I. Ibeas (= 1×) peers Romy Scholz

Countries citing papers authored by José I. Ibeas

Since Specialization

Citations

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

Fields of papers citing papers by José I. Ibeas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José I. Ibeas. 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 José I. Ibeas. The network helps show where José I. Ibeas may publish in the future.

Co-authorship network of co-authors of José I. Ibeas

This figure shows the co-authorship network connecting the top 25 collaborators of José I. Ibeas. A scholar is included among the top collaborators of José I. Ibeas 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 José I. Ibeas. José I. Ibeas 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

Tomás‐Gallardo, Laura, et al.. (2024). Row1, a member of a new family of conserved fungal proteins involved in infection, is required for appressoria functionality in Ustilago maydis. New Phytologist. 243(3). 1101–1122. 1 indexed citations

Ibeas, José I., et al.. (2023). Systematic characterization of Ustilago maydis sirtuins shows Sir2 as a modulator of pathogenic gene expression. Frontiers in Microbiology. 14. 1157990–1157990. 6 indexed citations

Morales, M. Lourdes, et al.. (2019). Volatile metabolites produced by different flor yeast strains during wine biological ageing. Food Research International. 128. 108771–108771. 12 indexed citations

Barrales, Ramón Ramos, et al.. (2019). Chromatin modification factors in plant pathogenic fungi: Insights from Ustilago maydis. Fungal Genetics and Biology. 129. 52–64. 12 indexed citations

Barrales, Ramón Ramos, et al.. (2016). Population analysis of biofilm yeasts during fino sherry wine aging in the Montilla-Moriles D.O. region. International Journal of Food Microbiology. 244. 67–73. 19 indexed citations

Fernández-Álvarez, Alfonso, et al.. (2015). The Hos2 Histone Deacetylase Controls Ustilago maydis Virulence through Direct Regulation of Mating-Type Genes. PLoS Pathogens. 11(8). e1005134–e1005134. 35 indexed citations

Fernández-Álvarez, Alfonso, et al.. (2013). Endoplasmic Reticulum Glucosidases and Protein Quality Control Factors Cooperate to Establish Biotrophy inUstilago maydis . The Plant Cell. 25(11). 4676–4690. 28 indexed citations

Fernández-Álvarez, Alfonso, et al.. (2011). The General Transcriptional Repressor Tup1 Is Required for Dimorphism and Virulence in a Fungal Plant Pathogen. PLoS Pathogens. 7(9). e1002235–e1002235. 29 indexed citations

Fernández-Álvarez, Alfonso, et al.. (2010). Protein glycosylation in the phytopathogen Ustilago maydis: From core oligosaccharide synthesis to the ER glycoprotein quality control system, a genomic analysis. Fungal Genetics and Biology. 47(9). 727–735. 11 indexed citations

10.

Barrales, Ramón Ramos, et al.. (2006). Adaptive evolution by mutations in the FLO11 gene. Proceedings of the National Academy of Sciences. 103(30). 11228–11233. 146 indexed citations

11.

Salzman, Ron A., Hisashi Koiwa, José I. Ibeas, et al.. (2004). Inorganic Cations Mediate Plant PR5 Protein Antifungal Activity through Fungal Mnn1- and Mnn4-Regulated Cell Surface Glycans. Molecular Plant-Microbe Interactions. 17(7). 780–788. 23 indexed citations

12.

Narasimhan, Meena L., Hyeseung Lee, Barbara Damsz, et al.. (2003). Overexpression of a cell wall glycoprotein in Fusarium oxysporum increases virulence and resistance to a plant PR‐5 protein. The Plant Journal. 36(3). 390–400. 37 indexed citations

13.

Huh, Gyung‐Hye, Barbara Damsz, Tracie K. Matsumoto, et al.. (2002). Salt causes ion disequilibrium‐induced programmed cell death in yeast and plants. The Plant Journal. 29(5). 649–659. 225 indexed citations

14.

Maggio, Albino, Saori Miyazaki, Paola Veronese, et al.. (2002). Does proline accumulation play an active role in stress‐induced growth reduction?. The Plant Journal. 31(6). 699–712. 365 indexed citations

15.

Ibeas, José I., Dae‐Jin Yun, Barbara Damsz, et al.. (2001). Resistance to the plant PR‐5 protein osmotin in the model fungus Saccharomyces cerevisiae is mediated by the regulatory effects of SSD1 on cell wall composition. The Plant Journal. 25(3). 271–280. 51 indexed citations

16.

Koiwa, Hisashi, Matilde Paino D’Urzo, Keyan Zhu‐Salzman, et al.. (2000). An In-Gel Assay of a Recombinant Western Corn Rootworm (Diabrotica virgifera virgifera) Cysteine Proteinase Expressed in Yeast. Analytical Biochemistry. 282(1). 153–155. 3 indexed citations

17.

Ibeas, José I., Hyeseung Lee, Barbara Damsz, et al.. (2000). Fungal cell wall phosphomannans facilitate the toxic activity of a plant PR‐5 protein. The Plant Journal. 23(3). 375–383. 81 indexed citations

18.

Yun, Dae‐Jin, José I. Ibeas, Hyeseung Lee, et al.. (1998). Osmotin, a Plant Antifungal Protein, Subverts Signal Transduction to Enhance Fungal Cell Susceptibility. Molecular Cell. 1(6). 807–817. 105 indexed citations

19.

Ibeas, José I. & Juan Jiménez. (1996). Genomic complexity and chromosomal rearrangements in wine-laboratory yeast hybrids. Current Genetics. 30(5). 410–416. 34 indexed citations

20.

Ibeas, José I. & Juan Jiménez. (1993). Electrophoretic Karyotype of budding yeasts with intact cell Wall. Nucleic Acids Research. 21(16). 3902–3902. 9 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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