Javier Terol

9.8k total citations · 2 hit papers
49 papers, 5.9k citations indexed

About

Javier Terol is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Javier Terol has authored 49 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 34 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Javier Terol's work include Plant Physiology and Cultivation Studies (11 papers), Genomics and Phylogenetic Studies (11 papers) and Plant Molecular Biology Research (9 papers). Javier Terol is often cited by papers focused on Plant Physiology and Cultivation Studies (11 papers), Genomics and Phylogenetic Studies (11 papers) and Plant Molecular Biology Research (9 papers). Javier Terol collaborates with scholars based in Spain, France and United Kingdom. Javier Terol's co-authors include Manuel Talón, Joaquı́n Dopazo, María José Nueda, Ana Conesa, Stefan Götz, Montserrat Robles, Shivashankar H. Nagaraj, Juan M. García‐Gómez, Tim Williams and Manuel Pérez‐Alonso and has published in prestigious journals such as Nature, Nucleic Acids Research and PLANT PHYSIOLOGY.

In The Last Decade

Javier Terol

47 papers receiving 5.7k citations

Hit Papers

High-throughput functional annotation and data mining wit... 2008 2026 2014 2020 2008 2018 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Terol Spain 23 3.1k 3.0k 737 516 476 49 5.9k
Alexis Dereeper France 22 2.2k 0.7× 2.6k 0.9× 615 0.8× 839 1.6× 335 0.7× 53 5.6k
Hui Guo China 27 4.3k 1.4× 4.0k 1.3× 1.0k 1.4× 400 0.8× 278 0.6× 80 7.0k
Hongkun Zheng China 32 3.2k 1.0× 2.9k 1.0× 1.4k 1.9× 433 0.8× 328 0.7× 67 6.1k
Jonathan Wood United Kingdom 15 5.8k 1.9× 3.9k 1.3× 1.3k 1.7× 282 0.5× 433 0.9× 36 7.8k
Siew-Yit Yong United Kingdom 3 2.1k 0.7× 3.3k 1.1× 818 1.1× 1.2k 2.3× 483 1.0× 3 5.9k
Margaret H. Frank United States 15 7.2k 2.3× 6.3k 2.1× 640 0.9× 402 0.8× 367 0.8× 29 10.4k
A. F. Quinn United Kingdom 4 2.0k 0.7× 3.3k 1.1× 811 1.1× 1.2k 2.3× 482 1.0× 5 5.9k
Sarah Hunter United Kingdom 6 2.1k 0.7× 3.3k 1.1× 829 1.1× 1.2k 2.4× 482 1.0× 10 5.9k
Hsin-Yu Chang United Kingdom 9 2.4k 0.8× 3.5k 1.2× 816 1.1× 1.2k 2.3× 485 1.0× 10 6.2k
John Maslen United Kingdom 3 2.1k 0.7× 3.6k 1.2× 835 1.1× 1.2k 2.4× 488 1.0× 3 6.2k

Countries citing papers authored by Javier Terol

Since Specialization
Citations

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

Fields of papers citing papers by Javier Terol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Terol

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Terol. A scholar is included among the top collaborators of Javier Terol 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 Javier Terol. Javier Terol 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.
Pastor, Óscar, Estela Pérez-Román, Carles Borredá, et al.. (2021). Applying User Centred Design to Improve the Design of Genomic User Interfaces. 25–35. 1 indexed citations
2.
Velázquez, Karelia, Susana Ruiz‐Ruiz, Javier Terol, et al.. (2021). IDA (INFLORESCENCE DEFICIENT IN ABSCISSION)-like peptides and HAE (HAESA)-like receptors regulate corolla abscission in Nicotiana benthamiana flowers. BMC Plant Biology. 21(1). 226–226. 23 indexed citations
3.
Mendes, Sandra, et al.. (2020). Integration of mandarin (Citrus reticulata) cytogenetic map with its genome sequence. Genome. 63(9). 437–444. 7 indexed citations
5.
Chen, Yi, Jérôme Grimplet, Karine David, et al.. (2018). Ethylene receptors and related proteins in climacteric and non-climacteric fruits. Plant Science. 276. 63–72. 113 indexed citations
6.
Wu, Guohong, Javier Terol, Victoria Ibáñez, et al.. (2018). Genomics of the origin and evolution of Citrus. Nature. 554(7692). 311–316. 557 indexed citations breakdown →
7.
Terol, Javier, et al.. (2015). An RNA‐Seq‐based reference transcriptome for Citrus. Plant Biotechnology Journal. 14(3). 938–950. 22 indexed citations
8.
Ollitrault, Patrick, Andrés García-Lor, Javier Terol, et al.. (2015). COMPARATIVE VALUES OF SSRS, SNPS AND INDELS FOR CITRUS GENETIC DIVERSITY ANALYSIS. Acta Horticulturae. 457–466. 11 indexed citations
9.
Terol, Javier, Victoria Ibáñez, José Carbonell‐Caballero, et al.. (2015). Involvement of a citrus meiotic recombination TTC-repeat motif in the formation of gross deletions generated by ionizing radiation and MULE activation. BMC Genomics. 16(1). 69–69. 13 indexed citations
10.
Ollitrault, Frédérique, Javier Terol, J. A. Pina, et al.. (2012). Development of indel markers from Citrus clementina (Rutaceae) BAC‐end sequences and interspecific transferability in Citrus. American Journal of Botany. 99(7). 26 indexed citations
11.
Soriano, José Miguel, Carlos Romero, Tetyana Zhebentyayeva, et al.. (2011). Narrowing down the apricot Plum pox virus resistance locus and comparative analysis with the peach genome syntenic region. Molecular Plant Pathology. 12(6). 535–547. 24 indexed citations
12.
Leida, Carmen, Javier Terol, Guillaume Marti, et al.. (2010). Identification of genes associated with bud dormancy release in Prunus persica by suppression subtractive hybridization. Tree Physiology. 30(5). 655–666. 85 indexed citations
13.
Ollitrault, Frédérique, Javier Terol, J. A. Pina, et al.. (2010). Development of SSR markers from Citrus clementina (Rutaceae) BAC end sequences and interspecific transferability in Citrus. American Journal of Botany. 97(11). e124–73. 74 indexed citations
14.
Götz, Stefan, Juan M. García‐Gómez, Javier Terol, et al.. (2008). High-throughput functional annotation and data mining with the Blast2GO suite. Nucleic Acids Research. 36(10). 3420–3435. 3347 indexed citations breakdown →
15.
Luro, François, Gilles Costantino, Javier Terol, et al.. (2008). Transferability of the EST-SSRs developed on Nules clementine (Citrus clementina Hort ex Tan) to other Citrus species and their effectiveness for genetic mapping. BMC Genomics. 9(1). 287–287. 167 indexed citations
17.
Terol, Javier, Ana Conesa, Manuel Cercós, et al.. (2007). Analysis of 13000 unique Citrus clusters associated with fruit quality, production and salinity tolerance. BMC Genomics. 8(1). 31–31. 64 indexed citations
18.
Terol, Javier, Concha Domingo, & Manuel Talón. (2006). The GH3 family in plants: Genome wide analysis in rice and evolutionary history based on EST analysis. Gene. 371(2). 279–290. 122 indexed citations
19.
Artero, Rubén, et al.. (2002). Generation of GAL4‐responsive muscleblind constructs. genesis. 34(1-2). 111–114. 15 indexed citations
20.
Artero, Rubén, et al.. (1998). saliva, a new Drosophila gene expressed in the embryonic salivary glands with homologues in plants and vertebrates. Mechanisms of Development. 75(1-2). 159–162. 36 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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