Jean‐François Rami

2.3k total citations
44 papers, 1.6k citations indexed

About

Jean‐François Rami is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Jean‐François Rami has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 21 papers in Genetics and 15 papers in Agronomy and Crop Science. Recurrent topics in Jean‐François Rami's work include Genetic Mapping and Diversity in Plants and Animals (21 papers), Peanut Plant Research Studies (14 papers) and Bioenergy crop production and management (12 papers). Jean‐François Rami is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (21 papers), Peanut Plant Research Studies (14 papers) and Bioenergy crop production and management (12 papers). Jean‐François Rami collaborates with scholars based in France, Senegal and United States. Jean‐François Rami's co-authors include Brigitte Courtois, Monique Deu, Gilles Trouche, Claire Billot, Manuel Ruíz, Daniel Foncéka, Perla Hamon, Sophie Bouchet, Jean-Christophe Glaszmann and Adam H. Price and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Jean‐François Rami

41 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean‐François Rami France 22 1.3k 641 379 203 180 44 1.6k
Punna Ramu United States 21 1.5k 1.2× 955 1.5× 486 1.3× 312 1.5× 10 0.1× 29 2.0k
Jean-Christophe Glaszmann France 30 2.5k 2.0× 832 1.3× 171 0.5× 443 2.2× 69 0.4× 79 2.8k
Cláudio Brondani Brazil 24 1.4k 1.1× 796 1.2× 94 0.2× 323 1.6× 20 0.1× 72 1.8k
Imad A. Eujayl United States 16 1.3k 1.0× 419 0.7× 80 0.2× 277 1.4× 18 0.1× 43 1.5k
G. M. Halloran Australia 21 1.4k 1.1× 238 0.4× 437 1.2× 261 1.3× 66 0.4× 107 1.5k
Laurent Grivet France 24 2.0k 1.6× 338 0.5× 118 0.3× 411 2.0× 70 0.4× 36 2.3k
Jeppe Reitan Andersen Denmark 20 1.3k 1.0× 677 1.1× 214 0.6× 314 1.5× 6 0.0× 32 1.5k
L. S. Lee Australia 6 651 0.5× 264 0.4× 65 0.2× 222 1.1× 10 0.1× 8 875
Yunsu Shi China 28 2.2k 1.8× 1.3k 2.0× 399 1.1× 552 2.7× 8 0.0× 89 2.4k
N. K. Blake United States 25 1.8k 1.4× 560 0.9× 345 0.9× 331 1.6× 4 0.0× 70 2.0k

Countries citing papers authored by Jean‐François Rami

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐François Rami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐François Rami. 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 Jean‐François Rami. The network helps show where Jean‐François Rami may publish in the future.

Co-authorship network of co-authors of Jean‐François Rami

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐François Rami. A scholar is included among the top collaborators of Jean‐François Rami 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 Jean‐François Rami. Jean‐François Rami 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.
Fragoso, Christopher, et al.. (2025). Fast and accurate imputation of genotypes from noisy low-coverage sequencing data in bi-parental populations. PLoS ONE. 20(1). e0314759–e0314759.
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Rouan, Lauriane, et al.. (2024). Linking genetic markers and crop model parameters using neural networks to enhance genomic prediction of integrative traits. Frontiers in Plant Science. 15. 1393965–1393965. 3 indexed citations
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Foncéka, Daniel, Josh Clevenger, Prasad Bajaj, et al.. (2023). Genome-wide association studies reveal novel loci for resistance to groundnut rosette disease in the African core groundnut collection. Theoretical and Applied Genetics. 136(3). 35–35. 10 indexed citations
7.
Sine, Bassirou, Sandeep Marla, Sophie Bouchet, et al.. (2021). A genomics resource for genetics, physiology, and breeding of West African sorghum. The Plant Genome. 14(2). e20075–e20075. 19 indexed citations
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Bell, Joseph Martin, Jean‐François Rami, Shivali Sharma, et al.. (2016). Evidence of Genomic Exchanges between Homeologous Chromosomes in a Cross of Peanut with Newly Synthetized Allotetraploid Hybrids. Frontiers in Plant Science. 7. 1635–1635. 24 indexed citations
10.
Rami, Jean‐François. (2013). Interspecific Introgression and Trait Dissection In Peanut (Arachis hypogaea). 1 indexed citations
11.
Shirasawa, Kenta, David J. Bertioli, Rajeev K. Varshney, et al.. (2013). Integrated Consensus Map of Cultivated Peanut and Wild Relatives Reveals Structures of the A and B Genomes of Arachis and Divergence of the Legume Genomes. DNA Research. 20(2). 173–184. 86 indexed citations
12.
Ramu, Punna, Claire Billot, Jean‐François Rami, et al.. (2013). Assessment of genetic diversity in the sorghum reference set using EST-SSR markers. Theoretical and Applied Genetics. 126(8). 2051–2064. 66 indexed citations
13.
Blenda, Anna V., David D. Fang, Jean‐François Rami, et al.. (2012). A High Density Consensus Genetic Map of Tetraploid Cotton That Integrates Multiple Component Maps through Molecular Marker Redundancy Check. PLoS ONE. 7(9). e45739–e45739. 84 indexed citations
14.
Gautami, Bhimana, Daniel Foncéka, Manish K. Pandey, et al.. (2012). An International Reference Consensus Genetic Map with 897 Marker Loci Based on 11 Mapping Populations for Tetraploid Groundnut (Arachis hypogaea L.). PLoS ONE. 7(7). e41213–e41213. 67 indexed citations
15.
Bouchet, Sophie, David Pot, Monique Deu, et al.. (2012). Genetic Structure, Linkage Disequilibrium and Signature of Selection in Sorghum: Lessons from Physically Anchored DArT Markers. PLoS ONE. 7(3). e33470–e33470. 72 indexed citations
16.
Foncéka, Daniel, Ronan Rivallan, Hélène Vignes, et al.. (2012). Construction of Chromosome Segment Substitution Lines in Peanut (Arachis hypogaea L.) Using a Wild Synthetic and QTL Mapping for Plant Morphology. PLoS ONE. 7(11). e48642–e48642. 63 indexed citations
17.
Gaspin, Christine, Jean‐François Rami, & Bernard Lescure. (2010). Distribution of short interstitial telomere motifs in two plant genomes: putative origin and function. BMC Plant Biology. 10(1). 283–283. 30 indexed citations
18.
Sagnard, Fabrice, Adéline Barnaud, Monique Deu, et al.. (2008). Analyse multiéchelle de la diversité génétique des sorghos : compréhension des processus évolutifs pour  la conservation in situ. Cahiers Agricultures. 17(2). 114–121. 17 indexed citations
19.
Chantereau, Jacques, et al.. (2001). RFLP mapping of QTLs for photoperiod response in tropical sorghum. Euphytica. 120(2). 183–194. 30 indexed citations
20.
Rami, Jean‐François, Philippe Dufour, Gilles Trouche, et al.. (1998). Quantitative trait loci for grain quality, productivity, morphological and agronomical traits in sorghum (Sorghum bicolor L. Moench). Theoretical and Applied Genetics. 97(4). 605–616. 101 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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