Yves Al-Ghazi

629 total citations
8 papers, 486 citations indexed

About

Yves Al-Ghazi is a scholar working on Plant Science, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Yves Al-Ghazi has authored 8 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 1 paper in Molecular Biology and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Yves Al-Ghazi's work include Research in Cotton Cultivation (4 papers), Plant nutrient uptake and metabolism (4 papers) and Plant Molecular Biology Research (3 papers). Yves Al-Ghazi is often cited by papers focused on Research in Cotton Cultivation (4 papers), Plant nutrient uptake and metabolism (4 papers) and Plant Molecular Biology Research (3 papers). Yves Al-Ghazi collaborates with scholars based in France, Australia and Brazil. Yves Al-Ghazi's co-authors include Danny Llewellyn, Elizabeth S. Dennis, Tony Arioli, Patrick Doumas, Stéphane Bourot, Philippe Nacry, Bertrand Muller, Timothy J. Tranbarger, Michel Rossignol and François Tardieu and has published in prestigious journals such as PLoS ONE, Plant Cell & Environment and Planta.

In The Last Decade

Yves Al-Ghazi

8 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yves Al-Ghazi France	7	467	107	47	14	11	8	486
Jianjiang Ma China	12	292 0.6×	118 1.1×	31 0.7×	9 0.6×	3 0.3×	29	328
Michael Gonzales United States	5	371 0.8×	146 1.4×	19 0.4×	16 1.1×	15 1.4×	6	409
Charukesi Rajulu Spain	5	501 1.1×	122 1.1×	10 0.2×	16 1.1×	3 0.3×	7	548
Muhammad Arshad Pakistan	12	304 0.7×	232 2.2×	19 0.4×	17 1.2×	4 0.4×	29	383
Fenni Lv China	10	257 0.6×	135 1.3×	25 0.5×	5 0.4×	12 1.1×	18	293
Pengbo Hao China	14	423 0.9×	229 2.1×	47 1.0×	8 0.6×	9 0.8×	38	471
Javier Mora‐Macias Mexico	8	536 1.1×	124 1.2×	13 0.3×	11 0.8×	7 0.6×	8	555
Zhaoyun Tan China	10	355 0.8×	47 0.4×	92 2.0×	8 0.6×	4 0.4×	12	387
Yurong Jiang China	11	284 0.6×	106 1.0×	34 0.7×	24 1.7×	2 0.2×	27	317
Arvind H. Hirani Canada	9	209 0.4×	112 1.0×	15 0.3×	18 1.3×	4 0.4×	14	271

Countries citing papers authored by Yves Al-Ghazi

Since Specialization

Citations

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

Fields of papers citing papers by Yves Al-Ghazi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yves Al-Ghazi. 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 Yves Al-Ghazi. The network helps show where Yves Al-Ghazi may publish in the future.

Co-authorship network of co-authors of Yves Al-Ghazi

This figure shows the co-authorship network connecting the top 25 collaborators of Yves Al-Ghazi. A scholar is included among the top collaborators of Yves Al-Ghazi 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 Yves Al-Ghazi. Yves Al-Ghazi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Lacape, Jean-Marc, Michel Claverie, Ramón Vidal, et al.. (2012). Deep Sequencing Reveals Differences in the Transcriptional Landscapes of Fibers from Two Cultivated Species of Cotton. PLoS ONE. 7(11). e48855–e48855. 31 indexed citations

Lacape, Jean-Marc, Danny Llewellyn, John Jacobs, et al.. (2010). Meta-analysis of cotton fiber quality QTLs across diverse environments in a Gossypium hirsutum x G. barbadense RIL population. BMC Plant Biology. 10(1). 132–132. 111 indexed citations

Al-Ghazi, Yves, Stéphane Bourot, Tony Arioli, Elizabeth S. Dennis, & Danny Llewellyn. (2009). Transcript Profiling During Fiber Development Identifies Pathways in Secondary Metabolism and Cell Wall Structure That May Contribute to Cotton Fiber Quality. Plant and Cell Physiology. 50(7). 1364–1381. 106 indexed citations

Camacho‐Cristóbal, Juan J., Jesús Rexach, Geneviève Conéjéro, et al.. (2008). PRD, an Arabidopsis AINTEGUMENTA-like gene, is involved in root architectural changes in response to phosphate starvation. Planta. 228(3). 511–522. 31 indexed citations

Wu, Yingru, Danny Llewellyn, Rosemary G. White, et al.. (2007). Laser capture microdissection and cDNA microarrays used to generate gene expression profiles of the rapidly expanding fibre initial cells on the surface of cotton ovules. Planta. 226(6). 1475–1490. 62 indexed citations

Tranbarger, Timothy J., Yves Al-Ghazi, Bertrand Muller, et al.. (2003). Transcription factor genes with expression correlated to nitrate‐related root plasticity of Arabidopsis thaliana. Plant Cell & Environment. 26(3). 459–469. 25 indexed citations

Tranbarger, Timothy J., Yves Al-Ghazi, Bertrand Muller, et al.. (2003). A macro-array-based screening approach to identify transcriptional factors involved in the nitrogen-related root plasticity response ofArabidopsis thaliana. Agronomie. 23(5-6). 519–528. 4 indexed citations

Al-Ghazi, Yves, Bertrand Muller, Timothy J. Tranbarger, et al.. (2003). Temporal responses of Arabidopsis root architecture to phosphate starvation: evidence for the involvement of auxin signalling. Plant Cell & Environment. 26(7). 1053–1066. 116 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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