E. A. Carbonell

3.0k total citations
84 papers, 2.2k citations indexed

About

E. A. Carbonell is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, E. A. Carbonell has authored 84 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Plant Science, 24 papers in Molecular Biology and 17 papers in Genetics. Recurrent topics in E. A. Carbonell's work include Plant Reproductive Biology (18 papers), Plant Physiology and Cultivation Studies (18 papers) and Plant Virus Research Studies (17 papers). E. A. Carbonell is often cited by papers focused on Plant Reproductive Biology (18 papers), Plant Physiology and Cultivation Studies (18 papers) and Plant Virus Research Studies (17 papers). E. A. Carbonell collaborates with scholars based in Spain, United States and United Kingdom. E. A. Carbonell's co-authors include M. J. Asíns, Luís Navarro, Antonio J. Monforte, G. P. Bernet, M. P. Bretó, Irène Villalta, Rolando Herrero, M. Cambra, F. Dicenta and Pere Mestre and has published in prestigious journals such as Biometrics, Theoretical and Applied Genetics and Journal of Food Science.

In The Last Decade

E. A. Carbonell

84 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
E. A. Carbonell 1.9k 520 410 244 193 84 2.2k
J. Nienhuis 1.7k 0.9× 592 1.1× 535 1.3× 157 0.6× 157 0.8× 58 2.4k
Maria Manzanares–Dauleux 2.4k 1.2× 768 1.5× 212 0.5× 125 0.5× 94 0.5× 80 2.6k
James M. Bradeen 2.2k 1.2× 722 1.4× 206 0.5× 353 1.4× 103 0.5× 69 2.6k
Fenny Dane 1.1k 0.6× 558 1.1× 409 1.0× 183 0.8× 144 0.7× 71 1.5k
Giampiero Valè 2.6k 1.3× 760 1.5× 656 1.6× 441 1.8× 105 0.5× 94 3.1k
P. Lindhout 4.5k 2.4× 1.2k 2.2× 858 2.1× 656 2.7× 384 2.0× 107 4.9k
Paulo José Pereira Lima Teixeira 2.6k 1.3× 996 1.9× 98 0.2× 344 1.4× 107 0.6× 46 3.2k
Stefano La Malfa 1.7k 0.9× 910 1.8× 184 0.4× 301 1.2× 302 1.6× 129 2.3k
Messias Gonzaga Pereira 3.2k 1.6× 438 0.8× 700 1.7× 113 0.5× 155 0.8× 279 3.6k
M. L. Deadman 1.1k 0.6× 270 0.5× 97 0.2× 536 2.2× 87 0.5× 94 1.6k

Countries citing papers authored by E. A. Carbonell

Since Specialization
Citations

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

Fields of papers citing papers by E. A. Carbonell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. A. Carbonell

This figure shows the co-authorship network connecting the top 25 collaborators of E. A. Carbonell. A scholar is included among the top collaborators of E. A. Carbonell 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 E. A. Carbonell. E. A. Carbonell 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.
2.
Intrigliolo, Diego S., et al.. (2016). Genetic analysis of salt tolerance in a progeny derived from the citrus rootstocks Cleopatra mandarin and trifoliate orange. Tree Genetics & Genomes. 12(3). 20 indexed citations
3.
Asíns, M. J., et al.. (2015). Genetic analysis of reproductive, vegetative and fruit quality traits to improve Citrus varieties. Tree Genetics & Genomes. 11(6). 11 indexed citations
4.
Villalta, Irène, María C. Bolarín, J. Cuartero, et al.. (2008). Genetic analysis of Na+ and K+ concentrations in leaf and stem as physiological components of salt tolerance in Tomato. Theoretical and Applied Genetics. 116(6). 869–880. 73 indexed citations
5.
Capote, Nieves, César Monzó, Alberto Urbaneja, et al.. (2007). Evaluación del riesgo ambiental del cultivo de campo de ciruelos europeos transgénicos sensibles y resistentes a "Plum pox virus". 156–164. 1 indexed citations
6.
Carbonell, E. A., et al.. (2006). Nivel de daño económico para "Aulacorthum solani" (Hemiptera, Aphididae) sobre el pimiento en invernadero comercial. Boletín de sanidad vegetal. Plagas. 32(2). 181–188. 2 indexed citations
7.
Mendoza, A. Hermoso de, et al.. (2006). Economic injury level for Aulacorthum solani (Hemiptera, Aphididae) on commercial greenhouse pepper.. 32(2). 181–187. 1 indexed citations
8.
Mendoza, A. Hermoso de, et al.. (2006). Intervention Thresholds for <I>Aphis spiraecola</I> (Hemiptera: Aphididae) on <I>Citrus clementina</I>. Journal of Economic Entomology. 99(4). 1273–1279. 17 indexed citations
9.
Asíns, M. J., G. P. Bernet, C. Ruiz, et al.. (2003). QTL analysis of citrus tristeza virus-citradia interaction. Theoretical and Applied Genetics. 108(4). 603–611. 33 indexed citations
10.
Garcı́a, Ricardo, M. J. Asíns, J.B. Forner, & E. A. Carbonell. (1999). Genetic analysis of apomixis in Citrus and Poncirus by molecular markers. Theoretical and Applied Genetics. 99(3-4). 511–518. 70 indexed citations
11.
Asíns, M. J., et al.. (1998). Molecular markers : a continuously growing biotechnology area to help citrus improvement. Fruits. 53(5). 293–302. 5 indexed citations
12.
Carbonell, E. A., et al.. (1993). Power studies in the estimation of genetic parameters and the localization of quantitative trait loci for backcross and doubled haploid populations. Theoretical and Applied Genetics. 86(4). 411–416. 27 indexed citations
13.
Bretó, M. P., M. J. Asíns, & E. A. Carbonell. (1993). Genetic variability in Lycopersicon species and their genetic relationships. Theoretical and Applied Genetics. 86(1). 113–120. 62 indexed citations
14.
Asíns, M. J., M. P. Bretó, & E. A. Carbonell. (1993). Salt tolerance in Lycopersicon species. II. Genetic effects and a search for associated traits. Theoretical and Applied Genetics. 86(6). 769–774. 15 indexed citations
15.
Marsal, José Ignacio, et al.. (1991). Genética de la resistencia a Phytophthora capsici LEÓN en pimiento. Redivia (Instituto Valenciano de Investigaciones Agrarias (IVIA)). 17(1). 3–124. 15 indexed citations
16.
Carbonell, E. A. & Thomas M. Gerig. (1991). A Program to Detect Linkage between Genetic Markers and Nonadditive Quantitative Trait Loci. Journal of Heredity. 82(5). 435–435. 4 indexed citations
17.
Carbonell, E. A., E. Costell, & L. Durán. (1990). Determinacion del contenido en pectinas en productos vegetales.. 30(1). 1–9. 4 indexed citations
18.
Asíns, M. J. & E. A. Carbonell. (1989). Distribution of genetic variability in a durum wheat world collection. Theoretical and Applied Genetics. 77(2). 287–294. 46 indexed citations
19.
Asíns, M. J. & E. A. Carbonell. (1986). A comparative study on variability and phylogeny of Triticum species. Theoretical and Applied Genetics. 72(4). 559–568. 18 indexed citations
20.
Saúco, V. Galán, et al.. (1984). Study of practice of layering and phenology in the banana tree (Musa acuminata Colla (AAA), cv. Pequena enana) on the island of Tenerife. 3. Phenology of the banana tree on the Island of Tenerife [Spain]. Fruits. 39(10). 595–605. 1 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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