Gema Bravo

647 total citations
9 papers, 500 citations indexed

About

Gema Bravo is a scholar working on Food Science, Plant Science and Molecular Biology. According to data from OpenAlex, Gema Bravo has authored 9 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Food Science, 8 papers in Plant Science and 5 papers in Molecular Biology. Recurrent topics in Gema Bravo's work include Fermentation and Sensory Analysis (8 papers), Horticultural and Viticultural Research (8 papers) and Wine Industry and Tourism (4 papers). Gema Bravo is often cited by papers focused on Fermentation and Sensory Analysis (8 papers), Horticultural and Viticultural Research (8 papers) and Wine Industry and Tourism (4 papers). Gema Bravo collaborates with scholars based in Spain, Australia and Argentina. Gema Bravo's co-authors include José M. Martínez‐Zapater, Diego Lijavetzky, Pablo Carbonell‐Bejerano, Juan Carlos Oliveros, Pilar Flores, Jérôme Grimplet, José Fenoll, Pilar Hellín, M. Carmen Antolín and Rafael Torres‐Pérez and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Plant and Cell Physiology.

In The Last Decade

Gema Bravo

9 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gema Bravo Spain 9 417 288 245 104 47 9 500
Rafael Torres‐Pérez Spain 13 527 1.3× 307 1.1× 365 1.5× 52 0.5× 50 1.1× 23 708
Nilo Mejía Chile 11 356 0.9× 171 0.6× 222 0.9× 39 0.4× 40 0.9× 13 392
Alessandra Dal Molin Italy 9 372 0.9× 126 0.4× 250 1.0× 20 0.2× 28 0.6× 14 534
Mara Miculan Italy 10 433 1.0× 132 0.5× 229 0.9× 16 0.2× 77 1.6× 13 532
Oliver Trapp Germany 11 240 0.6× 73 0.3× 150 0.6× 22 0.2× 11 0.2× 21 299
Chris Davies Australia 7 277 0.7× 131 0.5× 320 1.3× 12 0.1× 55 1.2× 8 442
Yung‐Fen Huang Taiwan 10 424 1.0× 98 0.3× 238 1.0× 8 0.1× 189 4.0× 22 573
Marián López Spain 10 227 0.5× 34 0.1× 274 1.1× 5 0.0× 7 0.1× 18 383
Aurora Zuzuarregui Spain 10 102 0.2× 183 0.6× 279 1.1× 10 0.1× 5 0.1× 11 381
Xue Gong China 10 156 0.4× 41 0.1× 95 0.4× 2 0.0× 59 1.3× 24 272

Countries citing papers authored by Gema Bravo

Since Specialization
Citations

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

Fields of papers citing papers by Gema Bravo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gema Bravo

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

All Works

9 of 9 papers shown
1.
Paradela, Alberto, Gema Bravo, Laura Dupont, et al.. (2019). Differential cleavage of lysyl oxidase by the metalloproteinases BMP1 and ADAMTS2/14 regulates collagen binding through a tyrosine sulfate domain. Journal of Biological Chemistry. 294(29). 11087–11100. 34 indexed citations
2.
Bravo, Gema, et al.. (2015). Molecular identification and genetic relationships of Algerian grapevine cultivars maintained at the germplasm collection of Skikda (Algeria). DIGITAL.CSIC (Spanish National Research Council (CSIC)). 48(1). 25–32. 11 indexed citations
3.
Fernandez, Lucie, Loïc Le Cunff, Javier Tello, et al.. (2014). Haplotype diversity of VvTFL1A gene and association with cluster traits ingrapevine (V. vinifera). BMC Plant Biology. 14(1). 209–209. 23 indexed citations
4.
Carbonell‐Bejerano, Pablo, Rafael Torres‐Pérez, Carolina Royo, et al.. (2013). Thermotolerance Responses in Ripening Berries of Vitis vinifera L. cv Muscat Hamburg. Plant and Cell Physiology. 54(7). 1200–1216. 108 indexed citations
5.
Lijavetzky, Diego, Pablo Carbonell‐Bejerano, Jérôme Grimplet, et al.. (2012). Berry Flesh and Skin Ripening Features in Vitis vinifera as Assessed by Transcriptional Profiling. PLoS ONE. 7(6). e39547–e39547. 111 indexed citations
6.
Lijavetzky, Diego, et al.. (2012). Correction: Berry Flesh and Skin Ripening Features in Vitis vinifera as Assessed by Transcriptional Profiling. PLoS ONE. 7(10). 48 indexed citations
7.
Cabezas, José Antonio, Javier Ibáñez, Diego Lijavetzky, et al.. (2011). A 48 SNP set for grapevine cultivar identification. BMC Plant Biology. 11(1). 153–153. 117 indexed citations
8.
Haddioui, Abdelmajid, et al.. (2010). Genetic Origins of Cultivated and Wild Grapevines from Morocco. American Journal of Enology and Viticulture. 61(1). 83–90. 24 indexed citations
9.
González, Ramón, M. Victoria Moreno‐Arribas, M. Carmen Polo, et al.. (2006). Combining microsatellite markers and capillary gel electrophoresis with laser-induced fluorescence to identify the grape (Vitis vinifera) variety of musts. European Food Research and Technology. 223(5). 625–631. 24 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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