José Díaz-Riquelme

622 total citations
5 papers, 454 citations indexed

About

José Díaz-Riquelme is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, José Díaz-Riquelme has authored 5 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 4 papers in Molecular Biology and 1 paper in Food Science. Recurrent topics in José Díaz-Riquelme's work include Plant Molecular Biology Research (3 papers), Horticultural and Viticultural Research (3 papers) and Plant Gene Expression Analysis (2 papers). José Díaz-Riquelme is often cited by papers focused on Plant Molecular Biology Research (3 papers), Horticultural and Viticultural Research (3 papers) and Plant Gene Expression Analysis (2 papers). José Díaz-Riquelme collaborates with scholars based in Spain, Netherlands and United States. José Díaz-Riquelme's co-authors include José M. Martínez‐Zapater, Maria José Carvalho Carmona, Diego Lijavetzky, Jérôme Grimplet, Pablo Carbonell‐Bejerano, Julie Dickerson, Anne Fennell, John Van Hemert, Mario Pezzotti and Ignacio Pérez Moreno and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and BMC Genomics.

In The Last Decade

José Díaz-Riquelme

5 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
José Díaz-Riquelme Spain	5	418	319	102	26	26	5	454
Chaohong Zhang China	10	323 0.8×	220 0.7×	58 0.6×	39 1.5×	8 0.3×	27	385
Pascale Maillot France	11	386 0.9×	258 0.8×	56 0.5×	36 1.4×	14 0.5×	12	435
Junhua Kong China	11	397 0.9×	294 0.9×	45 0.4×	8 0.3×	27 1.0×	23	461
Bingbing Duan China	10	316 0.8×	202 0.6×	89 0.9×	18 0.7×	7 0.3×	26	390
Hatem Ben Jouira Tunisia	8	298 0.7×	222 0.7×	100 1.0×	21 0.8×	7 0.3×	19	353
João L. Coito Portugal	14	369 0.9×	208 0.7×	137 1.3×	18 0.7×	21 0.8×	16	420
Maria Carola Fiore Italy	9	438 1.0×	284 0.9×	35 0.3×	19 0.7×	24 0.9×	19	489
Noé Cochetel United States	13	444 1.1×	192 0.6×	145 1.4×	72 2.8×	13 0.5×	27	492
Tatsuya Kubo Japan	12	394 0.9×	257 0.8×	92 0.9×	45 1.7×	10 0.4×	29	450
Amanda M. Vondras United States	9	305 0.7×	173 0.5×	152 1.5×	37 1.4×	9 0.3×	10	353

Countries citing papers authored by José Díaz-Riquelme

Since Specialization

Citations

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

Fields of papers citing papers by José Díaz-Riquelme

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Díaz-Riquelme. 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 José Díaz-Riquelme. The network helps show where José Díaz-Riquelme may publish in the future.

Co-authorship network of co-authors of José Díaz-Riquelme

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

All Works

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5 of 5 papers shown

1.

Díaz-Riquelme, José, Vladimir Zhurov, Cristina Rioja, et al.. (2016). Comparative genome-wide transcriptome analysis of Vitis vinifera responses to adapted and non-adapted strains of two-spotted spider mite, Tetranyhus urticae. BMC Genomics. 17(1). 74–74. 33 indexed citations

2.

Díaz-Riquelme, José, José M. Martínez‐Zapater, & Maria José Carvalho Carmona. (2014). Transcriptional Analysis of Tendril and Inflorescence Development in Grapevine (Vitis vinifera L.). PLoS ONE. 9(3). e92339–e92339. 28 indexed citations

3.

Grimplet, Jérôme, John Van Hemert, Pablo Carbonell‐Bejerano, et al.. (2012). Comparative analysis of grapevine whole-genome gene predictions, functional annotation, categorization and integration of the predicted gene sequences. BMC Research Notes. 5(1). 213–213. 133 indexed citations

4.

Díaz-Riquelme, José, Jérôme Grimplet, José M. Martínez‐Zapater, & Maria José Carvalho Carmona. (2012). Transcriptome variation along bud development in grapevine (Vitis viniferaL.). BMC Plant Biology. 12(1). 181–181. 77 indexed citations

5.

Díaz-Riquelme, José, Diego Lijavetzky, José M. Martínez‐Zapater, & Maria José Carvalho Carmona. (2008). Genome-Wide Analysis of MIKCC-Type MADS Box Genes in Grapevine . PLANT PHYSIOLOGY. 149(1). 354–369. 183 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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