Pere Arús

14.4k total citations
179 papers, 7.2k citations indexed

About

Pere Arús is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Pere Arús has authored 179 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Plant Science, 87 papers in Molecular Biology and 31 papers in Cell Biology. Recurrent topics in Pere Arús's work include Plant Reproductive Biology (62 papers), Plant Physiology and Cultivation Studies (56 papers) and Horticultural and Viticultural Research (47 papers). Pere Arús is often cited by papers focused on Plant Reproductive Biology (62 papers), Plant Physiology and Cultivation Studies (56 papers) and Horticultural and Viticultural Research (47 papers). Pere Arús collaborates with scholars based in Spain, France and United States. Pere Arús's co-authors include María José Aranzana, Jordi García-Más, Werner Howad, Elisabeth Dirlewanger, Antonio J. Monforte, Iban Eduardo, Tarek Joobeur, Joaquim Carbó, Amparo Monfort and Mourad Mnejja and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Pere Arús

176 papers receiving 6.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pere Arús Spain 49 6.0k 3.2k 1.8k 1.3k 811 179 7.2k
Fernando Nuez Spain 44 5.0k 0.8× 1.8k 0.6× 1.1k 0.6× 410 0.3× 322 0.4× 222 6.1k
R. Testolin Italy 37 4.3k 0.7× 1.8k 0.6× 968 0.5× 1.2k 0.9× 626 0.8× 128 5.2k
Elisabeth Dirlewanger France 35 3.9k 0.6× 2.0k 0.6× 553 0.3× 672 0.5× 421 0.5× 95 4.4k
Nahla Bassil United States 39 3.5k 0.6× 1.7k 0.5× 531 0.3× 1.0k 0.8× 353 0.4× 185 4.1k
S. D. Tanksley United States 34 6.6k 1.1× 2.1k 0.7× 2.9k 1.6× 350 0.3× 425 0.5× 54 7.5k
Anne Frary Türkiye 31 4.7k 0.8× 2.1k 0.7× 1.2k 0.7× 308 0.2× 204 0.3× 98 5.7k
G. Cipriani Italy 29 3.1k 0.5× 1.2k 0.4× 786 0.4× 788 0.6× 428 0.5× 95 3.7k
M. L. Badenes Spain 38 3.3k 0.6× 1.9k 0.6× 278 0.2× 413 0.3× 541 0.7× 171 3.9k
Caiguo Xu China 50 10.8k 1.8× 4.3k 1.4× 4.8k 2.7× 332 0.3× 203 0.3× 83 12.0k
Amy Iezzoni United States 38 3.6k 0.6× 2.5k 0.8× 355 0.2× 502 0.4× 1.0k 1.3× 126 4.2k

Countries citing papers authored by Pere Arús

Since Specialization
Citations

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

Fields of papers citing papers by Pere Arús

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pere Arús

This figure shows the co-authorship network connecting the top 25 collaborators of Pere Arús. A scholar is included among the top collaborators of Pere Arús 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 Pere Arús. Pere Arús 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.
Quilot‐Turion, Bénédicte, et al.. (2023). Almond population genomics and non-additive GWAS reveal new insights into almond dissemination history and candidate genes for nut traits and blooming time. Horticulture Research. 10(10). uhad193–uhad193. 10 indexed citations
3.
Duval, Henri, Sebastián E. Ramos‐Onsins, Konstantinos G. Alexiou, et al.. (2023). Development and Evaluation of an AxiomTM 60K SNP Array for Almond (Prunus dulcis). Plants. 12(2). 242–242. 11 indexed citations
4.
Li, Yong, Ke Cao, Gengrui Zhu, et al.. (2021). Genomic analyses provide insights into peach local adaptation and responses to climate change. Genome Research. 31(4). 592–606. 41 indexed citations
5.
Martínez‐García, Pedro J., A. Romero, Xavier Miarnau, et al.. (2020). Pedigree analysis of 220 almond genotypes reveals two world mainstream breeding lines based on only three different cultivars. Horticulture Research. 8(1). 11–11. 22 indexed citations
6.
Linge, Cássia da Silva, Laima Antanaviciute, Pere Arús, et al.. (2018). High-density multi-population consensus genetic linkage map for peach. PLoS ONE. 13(11). e0207724–e0207724. 24 indexed citations
7.
Meneses, Claudio, Rodrigo Infante, Celia M. Cantín, et al.. (2016). A codominant diagnostic marker for the slow ripening trait in peach. Molecular Breeding. 36(6). 17 indexed citations
8.
Obando‐Ulloa, Javier M., J.P. Fernández-Trujillo, Antonio Alarcón, et al.. (2008). Identification of Melon Fruit Quality Quantitative Trait Loci Using Near-isogenic Lines. Journal of the American Society for Horticultural Science. 133(1). 139–151. 59 indexed citations
9.
Eduardo, Iban, Pere Arús, Antonio J. Monforte, et al.. (2007). Estimating the Genetic Architecture of Fruit Quality Traits in Melon Using a Genomic Library of Near Isogenic Lines. Journal of the American Society for Horticultural Science. 132(1). 80–89. 97 indexed citations
10.
Fernández-Trujillo, J.P., Javier M. Obando‐Ulloa, Antonio Alarcón, et al.. (2007). Mapping Fruit Susceptibility to Postharvest Physiological Disorders and Decay Using a Collection of Near-isogenic Lines of Melon. Journal of the American Society for Horticultural Science. 132(5). 739–748. 27 indexed citations
11.
Howad, Werner, Toshiya Yamamoto, Elisabeth Dirlewanger, et al.. (2005). Mapping With a Few Plants: Using Selective Mapping for Microsatellite Saturation of the Prunus Reference Map. Genetics. 171(3). 1305–1309. 140 indexed citations
12.
Morales, Mónica, Gisella Orjeda, Cristina Nieto, et al.. (2005). A physical map covering the nsv locus that confers resistance to Melon necrotic spot virus in melon (Cucumis melo L.). Theoretical and Applied Genetics. 111(5). 914–922. 22 indexed citations
13.
Romero, et al.. (2005). Use of Sf-specific PCR for early selection of self-compatible seedlings in almond breeding. 3 indexed citations
14.
Monforte, Antonio J., et al.. (2005). Inheritance mode of fruit traits in melon: Heterosis for fruit shape and its correlation with genetic distance. Euphytica. 144(1-2). 31–38. 55 indexed citations
15.
Morales, M. P., et al.. (2004). Single-nucleotide polymorphisms detected in expressed sequence tags of melon (Cucumis meloL.). Genome. 47(2). 352–360. 33 indexed citations
16.
Dirlewanger, Elisabeth, Pierre Cosson, Muriel Tavaud, et al.. (2002). Development of microsatellite markers in peach [Prunus persica (L.) Batsch] and their use in genetic diversity analysis in peach and sweet cherry (Prunus avium L.). Theoretical and Applied Genetics. 105(1). 127–138. 474 indexed citations
17.
Pitrat, Michel, et al.. (2000). Simple sequence repeats in Cucumis mapping and map merging. HAL (Le Centre pour la Communication Scientifique Directe). 7 indexed citations
18.
Vicente, M. Carmen De, María José Truco, J. Egea, L. Burgos, & Pere Arús. (1998). RFLP variability in apricot (Prunus armeniaca L.). Plant Breeding. 117(2). 153–158. 39 indexed citations
19.
Viruel, M.A., Ramón Messeguer, M. Carmen De Vicente, et al.. (1995). A linkage map with RFLP and isozyme markers for almond. Theoretical and Applied Genetics. 91-91(6-7). 964–971. 98 indexed citations
20.
Rovira, M., et al.. (1993). Inheritance and linkage relationships of ten isozyme genes in hazelnut. Theoretical and Applied Genetics. 86-86(2-3). 322–328. 10 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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