Concha Domingo

2.5k total citations · 1 hit paper
33 papers, 1.7k citations indexed

About

Concha Domingo is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Concha Domingo has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 14 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Concha Domingo's work include Plant Molecular Biology Research (10 papers), GABA and Rice Research (7 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). Concha Domingo is often cited by papers focused on Plant Molecular Biology Research (10 papers), GABA and Rice Research (7 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). Concha Domingo collaborates with scholars based in Spain, United Kingdom and United States. Concha Domingo's co-authors include Manuel Talón, Javier Terol, Fernando Andrés, Keith Roberts, Nicola Stacey, Maureen C. McCann, Francisco R. Tadeo, Didier Tharreau, Carles Borredá and Domingo J. Iglesias and has published in prestigious journals such as Nature, PLoS ONE and The Plant Cell.

In The Last Decade

Concha Domingo

32 papers receiving 1.7k citations

Hit Papers

Genomics of the origin and evolution of Citrus 2018 2026 2020 2023 2018 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genomics of the origin and evolution of Citrus
    2018 557 citations Guohong Wu, Javier Terol et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Concha Domingo Spain 18 1.4k 793 179 110 98 33 1.7k
Manosh Kumar Biswas China 21 977 0.7× 576 0.7× 177 1.0× 192 1.7× 76 0.8× 57 1.3k
Concetta Lotti Italy 26 1.5k 1.1× 377 0.5× 349 1.9× 108 1.0× 153 1.6× 56 1.8k
Chunxian Chen United States 20 1.1k 0.8× 622 0.8× 124 0.7× 168 1.5× 74 0.8× 75 1.4k
Stefano Pavan Italy 27 2.1k 1.5× 618 0.8× 323 1.8× 199 1.8× 223 2.3× 65 2.6k
Andrew Baumgarten United States 8 2.1k 1.5× 1.3k 1.7× 234 1.3× 134 1.2× 63 0.6× 9 2.5k
Zhanao Deng United States 20 1.3k 0.9× 728 0.9× 108 0.6× 206 1.9× 37 0.4× 144 1.6k
Dariusz Grzebelus Poland 19 985 0.7× 660 0.8× 235 1.3× 69 0.6× 79 0.8× 78 1.3k
Weichao Fang China 20 1.0k 0.7× 721 0.9× 126 0.7× 129 1.2× 88 0.9× 58 1.3k
Hamid Ashrafi United States 22 1.6k 1.1× 716 0.9× 256 1.4× 207 1.9× 71 0.7× 56 1.9k
Cecilia Deng New Zealand 22 996 0.7× 761 1.0× 172 1.0× 215 2.0× 89 0.9× 65 1.4k

Countries citing papers authored by Concha Domingo

Since Specialization
Citations

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

Fields of papers citing papers by Concha Domingo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Concha Domingo

This figure shows the co-authorship network connecting the top 25 collaborators of Concha Domingo. A scholar is included among the top collaborators of Concha Domingo 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 Concha Domingo. Concha Domingo 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.
Català-Forner, Mar, et al.. (2025). Arbuscular Mycorrhizal Fungi Increase Blast Resistance and Grain Yield in Japonica Rice Cultivars in Flooded Fields. Rice. 18(1). 47–47. 1 indexed citations
2.
Bautista, A. San, et al.. (2024). Remote Sensing Dynamics for Analyzing Nitrogen Impact on Rice Yield in Limited Environments. Agriculture. 14(10). 1753–1753. 4 indexed citations
3.
Rubio, Constanza, et al.. (2024). Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data. Agriculture. 14(8). 1385–1385. 3 indexed citations
4.
5.
González, Víctor M, et al.. (2023). Development and Genome-Wide Analysis of a Blast-Resistant japonica Rice Variety. Plants. 12(20). 3536–3536. 5 indexed citations
6.
7.
8.
Talón, Manuel, et al.. (2018). Genome-wide association study of agronomic traits in rice cultivated in temperate regions. BMC Genomics. 19(1). 706–706. 19 indexed citations
9.
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 →
10.
Merelo, Paz, Javier Agustí, Vicent Arbona, et al.. (2017). Cell Wall Remodeling in Abscission Zone Cells during Ethylene-Promoted Fruit Abscission in Citrus. Frontiers in Plant Science. 8. 126–126. 87 indexed citations
11.
Sales, Ester, et al.. (2017). Genome wide association analysis of cold tolerance at germination in temperate japonica rice (Oryza sativa L.) varieties. PLoS ONE. 12(8). e0183416–e0183416. 32 indexed citations
12.
Andrés-Bordería, Amparo, Fernando Andrés, Antoni Garcia‐Molina, et al.. (2017). Copper and ectopic expression of the Arabidopsis transport protein COPT1 alter iron homeostasis in rice (Oryza sativa L.). Plant Molecular Biology. 95(1-2). 17–32. 17 indexed citations
13.
Viruel, Juan, Ester Sales, Javier Terol, et al.. (2016). Genetic Diversity and Population Structure of Rice Varieties Cultivated in Temperate Regions. Rice. 9(1). 58–58. 36 indexed citations
14.
Talón, Manuel, et al.. (2014). Diversity of floral regulatory genes of japonica rice cultivated at northern latitudes. BMC Genomics. 15(1). 101–101. 26 indexed citations
15.
Tadeo, Francisco R., Javier Agustí, Paz Merelo, et al.. (2012). FUNCTIONAL GENOMIC APPROACHES TO UNDERSTANDING ABSCISSION ACTIVATION IN CITRUS. Acta Horticulturae. 39–45. 1 indexed citations
16.
Domingo, Concha, Fernando Andrés, Didier Tharreau, Domingo J. Iglesias, & Manuel Talón. (2009). Constitutive Expression ofOsGH3.1Reduces Auxin Content and Enhances Defense Response and Resistance to a Fungal Pathogen in Rice. Molecular Plant-Microbe Interactions. 22(2). 201–210. 166 indexed citations
17.
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
18.
Baldwin, Timothy C., et al.. (2001). DcAGP1, a secreted arabinogalactan protein, is related to a family of basic proline-rich proteins. Plant Molecular Biology. 45(4). 421–435. 44 indexed citations
19.
Domingo, Concha, et al.. (1999). Identification of a novel peptide motif that mediates cross‐linking of proteins to cell walls. The Plant Journal. 20(5). 563–570. 26 indexed citations
20.
Domingo, Concha, Vicente Conejero, & Pablo Vera. (1994). Genes encoding acidic and basic class III ?-1,3-glucanases are expressed in tomato plants upon viroid infection. Plant Molecular Biology. 24(5). 725–732. 34 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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