Raphaël Flores

5.3k total citations
8 papers, 356 citations indexed

About

Raphaël Flores is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Raphaël Flores has authored 8 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 3 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Raphaël Flores's work include Chromosomal and Genetic Variations (4 papers), Wheat and Barley Genetics and Pathology (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Raphaël Flores is often cited by papers focused on Chromosomal and Genetic Variations (4 papers), Wheat and Barley Genetics and Pathology (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Raphaël Flores collaborates with scholars based in France, Switzerland and Morocco. Raphaël Flores's co-authors include Hadi Quesneville, Jérôme Salse, Caroline Pont, Florent Murat, Michaël Alaux, Delphine Steinbach, Laura Burlot, Sébastien Guizard, Rongzhi Zhang and Moaïne El Baidouri and has published in prestigious journals such as New Phytologist, The Plant Journal and Frontiers in Plant Science.

In The Last Decade

Raphaël Flores

7 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raphaël Flores France	7	312	146	117	35	15	8	356
Michaël Alaux France	9	307 1.0×	133 0.9×	104 0.9×	31 0.9×	18 1.2×	13	363
Markus Oppermann Germany	11	181 0.6×	60 0.4×	93 0.8×	24 0.7×	12 0.8×	17	235
Yunqing Yu United States	14	527 1.7×	403 2.8×	52 0.4×	43 1.2×	26 1.7×	23	653
Delphine Steinbach France	6	190 0.6×	130 0.9×	76 0.6×	32 0.9×	3 0.2×	10	249
Hanna Ćwiek‐Kupczyńska Poland	9	207 0.7×	67 0.5×	49 0.4×	21 0.6×	20 1.3×	15	262
Sebastian J. Schultheiß Germany	9	649 2.1×	564 3.9×	50 0.4×	13 0.4×	16 1.1×	16	764
Victor Jun Ulat Philippines	6	597 1.9×	231 1.6×	256 2.2×	10 0.3×	10 0.7×	10	661
Anne V. Brown United States	7	276 0.9×	69 0.5×	32 0.3×	7 0.2×	32 2.1×	11	307
Hisataka Numa Japan	10	636 2.0×	405 2.8×	274 2.3×	18 0.5×	11 0.7×	23	802
C. G. McLaren Philippines	8	394 1.3×	33 0.2×	158 1.4×	36 1.0×	56 3.7×	15	437

Countries citing papers authored by Raphaël Flores

Since Specialization

Citations

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

Fields of papers citing papers by Raphaël Flores

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphaël Flores

This figure shows the co-authorship network connecting the top 25 collaborators of Raphaël Flores. A scholar is included among the top collaborators of Raphaël Flores 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 Raphaël Flores. Raphaël Flores 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

Pommier, Cyril, Célia Michotey, Guillaume Cornut, et al.. (2019). Applying FAIR Principles to Plant Phenotypic Data Management in GnpIS. Plant Phenomics. 2019. 1671403–1671403. 28 indexed citations

Quraishi, Umar Masood, Caroline Pont, Quratul Ain, et al.. (2017). Combined Genomic and Genetic Data Integration of Major Agronomical Traits in Bread Wheat (Triticum aestivum L.). Frontiers in Plant Science. 8. 1843–1843. 45 indexed citations

Adam‐Blondon, Anne‐Françoise, Michaël Alaux, Sophie Durand, et al.. (2016). Mining Plant Genomic and Genetic Data Using the GnpIS Information System. Methods in molecular biology. 1533. 103–117.

Baidouri, Moaïne El, Florent Murat, Raphaël Flores, et al.. (2016). Reconciling the evolutionary origin of bread wheat (Triticum aestivum). New Phytologist. 213(3). 1477–1486. 93 indexed citations

Murat, Florent, Rongzhi Zhang, Sébastien Guizard, et al.. (2015). Karyotype and Gene Order Evolution from Reconstructed Extinct Ancestors Highlight Contrasts in Genome Plasticity of Modern Rosid Crops. Genome Biology and Evolution. 7(3). 735–749. 40 indexed citations

Murat, Florent, Rongzhi Zhang, Sébastien Guizard, et al.. (2013). Shared Subgenome Dominance Following Polyploidization Explains Grass Genome Evolutionary Plasticity from a Seven Protochromosome Ancestor with 16K Protogenes. Genome Biology and Evolution. 6(1). 12–33. 62 indexed citations

Langella, Olivier, Benoît Valot, Daniel Jacob, et al.. (2013). Management and dissemination of MS proteomic data with PROTICdb: Example of a quantitative comparison between methods of protein extraction. PROTEOMICS. 13(9). 1457–1466. 21 indexed citations

Pont, Caroline, Florent Murat, Sébastien Guizard, et al.. (2013). Wheat syntenome unveils new evidences of contrasted evolutionary plasticity between paleo‐ and neoduplicated subgenomes. The Plant Journal. 76(6). 1030–1044. 67 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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