Juan Majada

2.3k total citations
79 papers, 1.7k citations indexed

About

Juan Majada is a scholar working on Plant Science, Nature and Landscape Conservation and Molecular Biology. According to data from OpenAlex, Juan Majada has authored 79 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 34 papers in Nature and Landscape Conservation and 24 papers in Molecular Biology. Recurrent topics in Juan Majada's work include Forest ecology and management (26 papers), Plant tissue culture and regeneration (16 papers) and Seed Germination and Physiology (12 papers). Juan Majada is often cited by papers focused on Forest ecology and management (26 papers), Plant tissue culture and regeneration (16 papers) and Seed Germination and Physiology (12 papers). Juan Majada collaborates with scholars based in Spain, United Kingdom and France. Juan Majada's co-authors include Ricardo Sánchez Tamés, Ricardo Alı́a, Isabel Feito, Andrea Hevia, Unai Ortega-Lasuen, Ismael Aranda, Miren K. Duñabeitia, Marcos Barrio-Anta, Pedro Álvarez-Álvarez and Carmen González‐Murua and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Juan Majada

79 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Majada Spain 26 863 628 499 447 166 79 1.7k
Steven E. McKeand United States 30 843 1.0× 1.6k 2.6× 335 0.7× 871 1.9× 256 1.5× 122 2.6k
Nuno Borralho Portugal 25 638 0.7× 1.1k 1.8× 208 0.4× 309 0.7× 187 1.1× 77 1.8k
Fikret Işik United States 25 796 0.9× 1.1k 1.7× 329 0.7× 227 0.5× 196 1.2× 97 2.2k
Dudley A. Huber United States 26 583 0.7× 884 1.4× 197 0.4× 425 1.0× 175 1.1× 67 1.7k
Pertti Pulkkinen Finland 22 682 0.8× 838 1.3× 398 0.8× 417 0.9× 415 2.5× 109 2.1k
Risto Rikala Finland 23 1.1k 1.2× 982 1.6× 177 0.4× 465 1.0× 181 1.1× 88 1.7k
Franck Brignolas France 30 1.5k 1.8× 614 1.0× 544 1.1× 1.1k 2.5× 365 2.2× 55 2.5k
Marc Villar France 22 857 1.0× 431 0.7× 287 0.6× 594 1.3× 241 1.5× 50 1.7k
Gary R. Hodge United States 24 651 0.8× 863 1.4× 192 0.4× 173 0.4× 309 1.9× 87 1.7k
Bailian Li United States 26 947 1.1× 503 0.8× 578 1.2× 163 0.4× 69 0.4× 69 1.6k

Countries citing papers authored by Juan Majada

Since Specialization
Citations

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

Fields of papers citing papers by Juan Majada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Majada

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Majada. A scholar is included among the top collaborators of Juan Majada 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 Juan Majada. Juan Majada 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.
Alı́a, Ricardo, José Climent, Luis Santos del Blanco, et al.. (2024). Adaptive potential of maritime pine under contrasting environments. BMC Plant Biology. 24(1). 37–37. 5 indexed citations
2.
Majada, Juan, et al.. (2022). Canopy characterization of sweet chestnut coppice in the north of spain from lidar data. European Journal of Forest Research. 141(2). 267–279. 1 indexed citations
3.
Hevia, Andrea, Filipe Campelo, María Regina Chambel, et al.. (2020). Which matters more for wood traits in Pinus halepensis Mill., provenance or climate?. Annals of Forest Science. 77(2). 18 indexed citations
4.
Hevia, Andrea, et al.. (2017). Assessing the effect of pruning and thinning on crown fire hazard in young Atlantic maritime pine forests. Journal of Environmental Management. 205. 9–17. 14 indexed citations
5.
Majada, Juan, et al.. (2017). Efficacy of propidium iodide and FUN-1 stains for assessing viability in basidiospores of Rhizopogon roseolus. Mycologia. 109(2). 350–358. 8 indexed citations
6.
Tolosana, Eduardo, et al.. (2016). Analysis of Productivity and Cost of Forwarding Bundles of Eucalyptus\nLogging Residues on Steep Terrain. SHILAP Revista de lepidopterología. 10 indexed citations
7.
Rodríguez, A., et al.. (2016). Hormonal profiling: Development of a simple method to extract and quantify phytohormones in complex matrices by UHPLC–MS/MS. Journal of Chromatography B. 1040. 239–249. 27 indexed citations
8.
Hevia, Andrea, et al.. (2016). Estimación de variables de combustible de copa y de masa, caracterizando el efecto de las claras en su estructura usando LiDAR aerotransportado. SHILAP Revista de lepidopterología. 41–41. 19 indexed citations
9.
Cañas, Rafael A., et al.. (2015). Transcriptome-wide analysis supports environmental adaptations of two Pinus pinaster populations from contrasting habitats. BMC Genomics. 16(1). 909–909. 21 indexed citations
10.
Elvira‐Recuenco, Margarita, Eugenia Iturritxa, Juan Majada, Ricardo Alı́a, & Rosa Raposo. (2014). Adaptive Potential of Maritime Pine (Pinus pinaster) Populations to the Emerging Pitch Canker Pathogen, Fusarium circinatum. PLoS ONE. 9(12). e114971–e114971. 28 indexed citations
11.
Moreno‐Fernández, Daniel, Mariola Sánchez‐González, Juan Gabriél Álvarez‐González, et al.. (2014). Response to the interaction of thinning and pruning of pine species in Mediterranean mountains. European Journal of Forest Research. 133(5). 833–843. 18 indexed citations
12.
Valdés, Ana Elisa, Sami Irar, Juan Majada, et al.. (2013). Drought tolerance acquisition in Eucalyptus globulus (Labill.): A research on plant morphology, physiology and proteomics. Journal of Proteomics. 79. 263–276. 41 indexed citations
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15.
Granda, Víctor, Candela Cuesta, Rubén Álvarez-Fernández, et al.. (2010). Rapid responses of C14 clone of Eucalyptus globulus to root drought stress: Time-course of hormonal and physiological signaling. Journal of Plant Physiology. 168(7). 661–670. 19 indexed citations
16.
Ortega-Lasuen, Unai, Miren K. Duñabeitia, S. Menéndez, Carmen González‐Murua, & Juan Majada. (2004). Effectiveness of mycorrhizal inoculation in the nursery on growth and water relations of Pinus radiata in different water regimes. Tree Physiology. 24(1). 65–73. 69 indexed citations
17.
Cañal, María Jesús, Roberto Rodríguez Madrera, Belén Fernández, Ricardo Sánchez Tamés, & Juan Majada. (2001). Fisiología del cultivo in vitro. Biotecnología vegetal. 1(1). 3–9. 4 indexed citations
18.
Majada, Juan, Marta Sierra, & Ricardo Sánchez Tamés. (2000). One step more towards taxane production through enhanced Taxus propagation. Plant Cell Reports. 19(8). 825–830. 17 indexed citations
19.
Majada, Juan, et al.. (1999). Differences between Dianthus caryophyllus L. cultivar in in vitro growth and morphogenesis are related to their ethylene production. Plant Growth Regulation. 27(2). 131–136. 19 indexed citations
20.
González, Ana María, et al.. (1997). Ethylene involvement in in vitro organogenesis and plant growth of Populus tremula L.. Plant Growth Regulation. 22(1). 1–6. 32 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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