Ana María Ramos‐Cabrer

1.2k total citations
40 papers, 790 citations indexed

About

Ana María Ramos‐Cabrer is a scholar working on Plant Science, Cell Biology and Nutrition and Dietetics. According to data from OpenAlex, Ana María Ramos‐Cabrer has authored 40 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 15 papers in Cell Biology and 14 papers in Nutrition and Dietetics. Recurrent topics in Ana María Ramos‐Cabrer's work include Horticultural and Viticultural Research (24 papers), Plant Pathogens and Fungal Diseases (15 papers) and Plant and Fungal Interactions Research (14 papers). Ana María Ramos‐Cabrer is often cited by papers focused on Horticultural and Viticultural Research (24 papers), Plant Pathogens and Fungal Diseases (15 papers) and Plant and Fungal Interactions Research (14 papers). Ana María Ramos‐Cabrer collaborates with scholars based in Spain, France and Portugal. Ana María Ramos‐Cabrer's co-authors include Santiago Pereira‐Lorenzo, María Belén Díaz-Hernández, Domingo Ríos Mesa, Teresa Barreneche, Rita Costa, Aída González-Díaz, Emilia Díaz‐Losada, Claudia Mattioni, Federico Sau and M.Á. Martín and has published in prestigious journals such as Scientific Reports, Food Control and Biodiversity and Conservation.

In The Last Decade

Ana María Ramos‐Cabrer

38 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana María Ramos‐Cabrer Spain 17 645 275 235 186 178 40 790
Patrick J. Conner United States 16 705 1.1× 95 0.3× 55 0.2× 291 1.6× 108 0.6× 63 808
María Belén Díaz-Hernández Spain 10 356 0.6× 132 0.5× 77 0.3× 127 0.7× 94 0.5× 14 442
Joaquim Carbó Spain 13 694 1.1× 71 0.3× 51 0.2× 226 1.2× 135 0.8× 30 814
M. Rovira Spain 16 507 0.8× 348 1.3× 200 0.9× 202 1.1× 85 0.5× 69 709
Lynda Hagen France 11 888 1.4× 33 0.1× 88 0.4× 231 1.2× 115 0.6× 15 985
Göksel Özer Türkiye 16 824 1.3× 34 0.1× 57 0.2× 183 1.0× 417 2.3× 172 970
Ana Wünsch Spain 20 921 1.4× 53 0.2× 57 0.2× 675 3.6× 137 0.8× 57 1.1k
Shingo Terakami Japan 24 1.3k 2.0× 116 0.4× 124 0.5× 793 4.3× 280 1.6× 79 1.5k
M. C. de Vicente Spain 7 419 0.6× 69 0.3× 69 0.3× 273 1.5× 112 0.6× 10 528
Maria Teresa Dettori Italy 17 1.3k 2.0× 103 0.4× 171 0.7× 698 3.8× 427 2.4× 36 1.5k

Countries citing papers authored by Ana María Ramos‐Cabrer

Since Specialization
Citations

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

Fields of papers citing papers by Ana María Ramos‐Cabrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana María Ramos‐Cabrer. 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 Ana María Ramos‐Cabrer. The network helps show where Ana María Ramos‐Cabrer may publish in the future.

Co-authorship network of co-authors of Ana María Ramos‐Cabrer

This figure shows the co-authorship network connecting the top 25 collaborators of Ana María Ramos‐Cabrer. A scholar is included among the top collaborators of Ana María Ramos‐Cabrer 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 Ana María Ramos‐Cabrer. Ana María Ramos‐Cabrer 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.
Urrestarazu, Jorge, Ana María Ramos‐Cabrer, Santiago Pereira‐Lorenzo, et al.. (2024). Unlocking Spanish pear genetic diversity: strategies for construction of a national core collection. Scientific Reports. 14(1). 26555–26555. 1 indexed citations
3.
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Ramos‐Cabrer, Ana María, et al.. (2022). Traceability of the local cultivar ‘Caaveiro’ in flour mixtures used to produce Galician bread by simple sequence repeats and droplet digital polymerase chain reaction technology. International Journal of Food Science & Technology. 57(11). 7085–7098. 5 indexed citations
5.
Pereira‐Lorenzo, Santiago, Marco Conedera, Julien Crovadore, et al.. (2020). Reservoir of the European chestnut diversity in Switzerland. Biodiversity and Conservation. 29(7). 2217–2234. 10 indexed citations
6.
Pereira‐Lorenzo, Santiago, Ana María Ramos‐Cabrer, Teresa Barreneche, et al.. (2018). Instant domestication process of European chestnut cultivars. Annals of Applied Biology. 174(1). 74–85. 25 indexed citations
7.
Pereira‐Lorenzo, Santiago, Ana María Ramos‐Cabrer, Vanessa Ferreira, et al.. (2018). Genetic diversity and core collection of Malus × domestica in northwestern Spain, Portugal and the Canary Islands by SSRs. Scientia Horticulturae. 240. 49–56. 23 indexed citations
8.
Miranda, C., Enrique Dapena de la Fuente, Santiago Pereira‐Lorenzo, et al.. (2017). Development of a standardized methodology for phenotypical characterizations in apple. Acta Horticulturae. 367–370. 4 indexed citations
9.
Pereira‐Lorenzo, Santiago, et al.. (2012). Morphological variation in local pears from north-western Spain. Scientia Horticulturae. 138. 176–182. 25 indexed citations
10.
Díaz‐Losada, Emilia, et al.. (2012). Genetic and geographical structure in grapevines from northwestern Spain. Annals of Applied Biology. 161(1). 24–35. 12 indexed citations
11.
Díaz‐Losada, Emilia, et al.. (2011). Determination of Genetic Relationships of Albariño and Loureira Cultivars with the Caíño Group by Microsatellites. American Journal of Enology and Viticulture. 62(3). 371–375. 8 indexed citations
12.
Díaz‐Losada, Emilia, et al.. (2010). Twenty microsatellites (SSRs) reveal two main origins of variability in grapevine cultivars from Northwestern Spain. Dialnet (Universidad de la Rioja). 49(2). 55–62. 18 indexed citations
13.
Pereira‐Lorenzo, Santiago, et al.. (2010). Variation in grafted European chestnut and hybrids by microsatellites reveals two main origins in the Iberian Peninsula. Tree Genetics & Genomes. 6(5). 701–715. 59 indexed citations
14.
Pereira‐Lorenzo, Santiago, et al.. (2010). CHESTNUT IN SPAIN, FROM NUT AND TIMBER PRODUCTION TO INDUSTRY. Acta Horticulturae. 499–503. 3 indexed citations
15.
Ramos‐Cabrer, Ana María, et al.. (2006). Study of Spanish Chestnut Cultivars Using SSR Markers.. Advances in Horticultural Science. 20(1). 1000–1004. 2 indexed citations
16.
Pereira‐Lorenzo, Santiago, Ana María Ramos‐Cabrer, & María Belén Díaz-Hernández. (2006). Evaluation of genetic identity and variation of local apple cultivars (Malus × domestica Borkh.) from Spain using microsatellite markers. Genetic Resources and Crop Evolution. 54(2). 405–420. 62 indexed citations
17.
Pereira‐Lorenzo, Santiago, et al.. (2005). Chemical composition of chestnut cultivars from Spain. Scientia Horticulturae. 107(3). 306–314. 112 indexed citations
18.
Pereira‐Lorenzo, Santiago, et al.. (2003). Analysis of Apple Germplasm in Northwestern Spain. Journal of the American Society for Horticultural Science. 128(1). 67–84. 38 indexed citations
19.
Ramos‐Cabrer, Ana María, et al.. (2003). Características morfológicas e isoenzimáticas de los cultivares de castaño (Castanea sativa Mill.) de Andalucía. Dialnet (Universidad de la Rioja). 4 indexed citations
20.
Pereira‐Lorenzo, Santiago, et al.. (2001). Spanish Chestnut Cultivars. HortScience. 36(2). 344–347. 18 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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