Hanâ Chaïr

877 total citations
25 papers, 475 citations indexed

About

Hanâ Chaïr is a scholar working on Plant Science, Food Science and Molecular Biology. According to data from OpenAlex, Hanâ Chaïr has authored 25 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 11 papers in Food Science and 8 papers in Molecular Biology. Recurrent topics in Hanâ Chaïr's work include Potato Plant Research (10 papers), Plant Pathogens and Resistance (7 papers) and Pacific and Southeast Asian Studies (6 papers). Hanâ Chaïr is often cited by papers focused on Potato Plant Research (10 papers), Plant Pathogens and Resistance (7 papers) and Pacific and Southeast Asian Studies (6 papers). Hanâ Chaïr collaborates with scholars based in France, Vanuatu and Guadeloupe. Hanâ Chaïr's co-authors include Vincent Lebot, Pierre Mournet, Roger Malapa, M. F. Duval, Xavier Perrier, Gemma Arnau, Sandrine Causse, Jean‐Louis Noyer, Nora Scarcelli and Yves Vigouroux and has published in prestigious journals such as PLoS ONE, Scientific Reports and Science Advances.

In The Last Decade

Hanâ Chaïr

23 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hanâ Chaïr France	13	251	186	136	131	96	25	475
M. F. Duval France	13	402 1.6×	75 0.4×	220 1.6×	82 0.6×	53 0.6×	22	547
Pierre Mournet France	15	478 1.9×	124 0.7×	212 1.6×	37 0.3×	109 1.1×	44	639
T. Okpul Papua New Guinea	9	131 0.5×	42 0.2×	52 0.4×	148 1.1×	27 0.3×	18	292
Brian M. Irish United States	13	322 1.3×	100 0.5×	120 0.9×	21 0.2×	57 0.6×	50	491
Serge Tostain France	11	315 1.3×	168 0.9×	87 0.6×	24 0.2×	148 1.5×	25	434
O Daïnou France	9	224 0.9×	128 0.7×	97 0.7×	16 0.1×	101 1.1×	19	366
Genoveva Rossel Peru	11	333 1.3×	51 0.3×	129 0.9×	29 0.2×	101 1.1×	14	485
Cecile T. Olano United States	14	315 1.3×	86 0.5×	142 1.0×	8 0.1×	30 0.3×	20	500
Françoise Carreel France	10	654 2.6×	19 0.1×	218 1.6×	41 0.3×	34 0.4×	19	727
Jaime Martínez‐Castillo Mexico	15	451 1.8×	91 0.5×	80 0.6×	5 0.0×	87 0.9×	42	576

Countries citing papers authored by Hanâ Chaïr

Since Specialization

Citations

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

Fields of papers citing papers by Hanâ Chaïr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanâ Chaïr

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

All Works

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20 of 20 papers shown

Zoclanclounon, Yedomon Ange Bovys, et al.. (2024). Genome‐wide development of intra‐ and inter‐specific transferable SSR markers and construction of a dynamic web resource for yam molecular breeding: Y2MD. The Plant Genome. 17(2). e20428–e20428.

Mota, Ana Paula Zotta, Mathieu Léchaudel, Denis Cornet, et al.. (2024). Whole-genome sequencing and comparative genomics reveal candidate genes associated with quality traits in Dioscorea alata. BMC Genomics. 25(1). 248–248. 4 indexed citations

Léchaudel, Mathieu, et al.. (2024). Detecting the genetic variants associated with key culinary traits in Dioscorea alata. LWT. 202. 116301–116301.

Chaïr, Hanâ, et al.. (2023). Advancing breeding for climate‐resilient yam production in Côte d'Ivoire. Plants People Planet. 7(3). 502–513. 3 indexed citations

Dossa, Komivi, Ana Paula Zotta Mota, Pierre Mournet, et al.. (2023). Genome‐wide association studies reveal novel loci controlling tuber flesh color and oxidative browning in Dioscorea alata. Journal of the Science of Food and Agriculture. 104(8). 4895–4906. 5 indexed citations

Cormier, Fabien, Hélène Vignes, Assanvo Simon-Pierre N’guetta, et al.. (2022). Identification and validation of QTLs for tuber quality related traits in greater yam (Dioscorea alata L.). Scientific Reports. 12(1). 8423–8423. 10 indexed citations

Cormier, Fabien, Guillaume Martin, Hélène Vignes, et al.. (2021). Genetic control of flowering in greater yam (Dioscorea alata L.). BMC Plant Biology. 21(1). 163–163. 11 indexed citations

Scarcelli, Nora, Philippe Cubry, Roland Akakpo, et al.. (2019). Yam genomics supports West Africa as a major cradle of crop domestication. Science Advances. 5(5). eaaw1947–eaaw1947. 63 indexed citations

Cormier, Fabien, Pierre Mournet, Sandrine Causse, et al.. (2019). Development of a cost‐effective single nucleotide polymorphism genotyping array for management of greater yam germplasm collections. Ecology and Evolution. 9(10). 5617–5636. 9 indexed citations

10.

Arnau, Gemma, Ranjana Bhattacharjee, Hanâ Chaïr, et al.. (2017). Understanding the genetic diversity and population structure of yam (Dioscorea alata L.) using microsatellite markers. PLoS ONE. 12(3). e0174150–e0174150. 47 indexed citations

11.

Scarcelli, Nora, et al.. (2017). Crop wild relative conservation: Wild yams are not that wild. Biological Conservation. 210. 325–333. 15 indexed citations

12.

Akakpo, Roland, Nora Scarcelli, Hanâ Chaïr, et al.. (2017). Molecular basis of African yam domestication: analyses of selection point to root development, starch biosynthesis, and photosynthesis related genes. BMC Genomics. 18(1). 782–782. 14 indexed citations

13.

Chaïr, Hanâ, M. F. Duval, Ronan Rivallan, et al.. (2016). Genetic Diversification and Dispersal of Taro (Colocasia esculenta (L.) Schott). PLoS ONE. 11(6). e0157712–e0157712. 76 indexed citations

14.

Letourmy, Philippe, et al.. (2016). Evaluation of Vegetative Growth, Yield and Quality Related Traits in Taro (Colocasia esculenta [L.] Schott).. Crop Science. 56(3). 976–989. 10 indexed citations

15.

Mournet, Pierre, et al.. (2015). Somaclonal variants of taro (Colocasia esculenta Schott) and yam (Dioscorea alata L.) are incorporated into farmers’ varietal portfolios in Vanuatu. Genetic Resources and Crop Evolution. 63(3). 495–511. 20 indexed citations

16.

Malapa, Roger, et al.. (2014). Characterization of microsatellites in Xanthosoma sagittifolium (Araceae) and cross‐amplification in related species. Applications in Plant Sciences. 2(6). 10 indexed citations

17.

Chaïr, Hanâ, et al.. (2011). Impact of past climatic and recent anthropogenic factors on wild yam genetic diversity. Molecular Ecology. 20(8). 1612–1623. 8 indexed citations

18.

Chaïr, Hanâ, Denis Cornet, Monique Deu, et al.. (2010). Impact of farmer selection on yam genetic diversity. Conservation Genetics. 11(6). 2255–2265. 22 indexed citations

19.

Chaïr, Hanâ, Xavier Perrier, Clément Agbangla, et al.. (2005). Use of cpSSRs for the characterisation of yam phylogeny in Benin. Genome. 48(4). 674–684. 34 indexed citations

20.

Chaïr, Hanâ, et al.. (1996). Transformation of haploid, microspore-derived cell suspension protoplasts of rice (Oryza sativa L.). Plant Cell Reports. 15(10). 766–770. 12 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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