José A. Egea

3.0k total citations
60 papers, 1.9k citations indexed

About

José A. Egea is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, José A. Egea has authored 60 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 12 papers in Molecular Biology and 12 papers in Biotechnology. Recurrent topics in José A. Egea's work include Horticultural and Viticultural Research (12 papers), Plant Physiology and Cultivation Studies (11 papers) and Listeria monocytogenes in Food Safety (10 papers). José A. Egea is often cited by papers focused on Horticultural and Viticultural Research (12 papers), Plant Physiology and Cultivation Studies (11 papers) and Listeria monocytogenes in Food Safety (10 papers). José A. Egea collaborates with scholars based in Spain, Netherlands and Germany. José A. Egea's co-authors include Julio R. Banga, María Rodriguez-Fernández, Rafael Martı́, Martin Schlüter, Pablo Salvador Fernández Escámez, Alberto Garre, Alejandro F. Villaverde, Eva Balsa‐Canto, F.J. Hernández-Fernández and V.M. Ortiz-Martínez and has published in prestigious journals such as PLoS ONE, Chemical Engineering Journal and Environmental Pollution.

In The Last Decade

José A. Egea

56 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José A. Egea Spain 24 563 277 222 200 184 60 1.9k
Sang-Bum Lee South Korea 26 392 0.7× 474 1.7× 120 0.5× 61 0.3× 132 0.7× 151 2.6k
Jin Hee Yoon South Korea 26 725 1.3× 83 0.3× 49 0.2× 148 0.7× 154 0.8× 92 1.9k
Xiantao Zhang China 30 321 0.6× 389 1.4× 246 1.1× 35 0.2× 200 1.1× 149 2.8k
Eugénio C. Ferreira Portugal 38 2.0k 3.6× 448 1.6× 78 0.4× 203 1.0× 237 1.3× 245 4.9k
Eva Balsa‐Canto Spain 31 1.4k 2.5× 714 2.6× 334 1.5× 209 1.0× 141 0.8× 99 3.0k
Jesús González Spain 30 331 0.6× 289 1.0× 101 0.5× 49 0.2× 292 1.6× 169 3.1k
Qing‐Song Xu China 25 804 1.4× 155 0.6× 247 1.1× 44 0.2× 458 2.5× 47 4.0k
Ioan-Cristian Trelea France 27 431 0.8× 562 2.0× 438 2.0× 85 0.4× 168 0.9× 80 3.5k
Antonio A. Alonso Spain 33 1.0k 1.8× 1.4k 5.2× 317 1.4× 192 1.0× 107 0.6× 140 3.3k
Hong‐Dong Li China 31 1.3k 2.3× 183 0.7× 293 1.3× 53 0.3× 560 3.0× 118 5.1k

Countries citing papers authored by José A. Egea

Since Specialization
Citations

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

Fields of papers citing papers by José A. Egea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José A. Egea

This figure shows the co-authorship network connecting the top 25 collaborators of José A. Egea. A scholar is included among the top collaborators of José A. Egea 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 A. Egea. José A. Egea 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
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Schiffers, Katja, Antonio Picornell, José A. Egea, et al.. (2025). Contrasting responses to climate change – predicting bloom of major temperate fruit tree species in the Mediterranean region and Central Europe. Agricultural and Forest Meteorology. 375. 110859–110859.
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Egea, José A., et al.. (2024). The timing and pattern of chill and heat exposure affect the estimation of agroclimatic requirements and adaptability potential in Prunus cultivars. Scientia Horticulturae. 339. 113910–113910. 4 indexed citations
5.
López, Juan Antonio, et al.. (2024). A comparison of interpolation methods to predict chill accumulation in a Mediterranean stone fruit production area (Región de Murcia, SE Spain). European Journal of Agronomy. 160. 127316–127316. 1 indexed citations
6.
Garre, Alberto, et al.. (2023). Differences Due to Sex and Sweetener on the Bioavailability of (Poly)phenols in Urine Samples: A Machine Learning Approach. Metabolites. 13(5). 653–653. 2 indexed citations
7.
Escámez, Pablo Salvador Fernández, et al.. (2023). Bioactive Compounds in Plasma as a Function of Sex and Sweetener Resulting from a Maqui-Lemon Beverage Consumption Using Statistical and Machine Learning Techniques. International Journal of Molecular Sciences. 24(3). 2140–2140. 7 indexed citations
8.
Burgos, L., José A. Egea, Lydia Faize, et al.. (2023). The Effect of Silver Nanoparticle Addition on Micropropagation of Apricot Cultivars (Prunus armeniaca L.) in Semisolid and Liquid Media. Plants. 12(7). 1547–1547. 8 indexed citations
9.
Salazar, Juan Alfonso, et al.. (2022). Monitoring Apricot (Prunus armeniaca L.) Ripening Progression through Candidate Gene Expression Analysis. International Journal of Molecular Sciences. 23(9). 4575–4575. 6 indexed citations
10.
Egea, J., et al.. (2022). Risk of Extreme Early Frosts in Almond. Horticulturae. 8(8). 687–687. 13 indexed citations
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Garre, Alberto, et al.. (2019). Mathematical modelling of the stress resistance induced in Listeria monocytogenes during dynamic, mild heat treatments. Food Microbiology. 84. 103238–103238. 14 indexed citations
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Garre, Alberto, et al.. (2019). On the use of in-silico simulations to support experimental design: A case study in microbial inactivation of foods. PLoS ONE. 14(8). e0220683–e0220683. 13 indexed citations
14.
Garre, Alberto, José A. Egea, Asunción Iguaz, Alfredo Palop, & Pablo Salvador Fernández Escámez. (2018). Relevance of the Induced Stress Resistance When Identifying the Critical Microorganism for Microbial Risk Assessment. Frontiers in Microbiology. 9. 1663–1663. 14 indexed citations
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Garre, Alberto, Pablo Salvador Fernández Escámez, Roland Lindqvist, & José A. Egea. (2017). Bioinactivation: Software for modelling dynamic microbial inactivation. Food Research International. 93. 66–74. 44 indexed citations
16.
Egea, José A., David Henriques, Thomas Cokelaer, et al.. (2014). MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics. BMC Bioinformatics. 15(1). 136–136. 121 indexed citations
17.
Egea, José A., Emmanuel Vázquez, Julio R. Banga, & Rafael Martı́. (2012). Improved scatter search for the global optimzation of computationally expensive dynamic models. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 48 indexed citations
18.
Villaverde, Alejandro F., José A. Egea, & Julio R. Banga. (2012). A cooperative strategy for parameter estimation in large scale systems biology models. BMC Systems Biology. 6(1). 75–75. 42 indexed citations
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Balsa‐Canto, Eva, et al.. (2011). Global Optimization in Systems Biology: Stochastic Methods and Their Applications. Advances in experimental medicine and biology. 736. 409–424. 23 indexed citations
20.
Rodriguez-Fernández, María, José A. Egea, & Julio R. Banga. (2006). Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems. BMC Bioinformatics. 7(1). 483–483. 201 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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