Gemma Arnau

1.2k total citations
33 papers, 796 citations indexed

About

Gemma Arnau is a scholar working on Plant Science, Food Science and Molecular Biology. According to data from OpenAlex, Gemma Arnau has authored 33 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 13 papers in Food Science and 4 papers in Molecular Biology. Recurrent topics in Gemma Arnau's work include Potato Plant Research (12 papers), Plant Pathogens and Resistance (7 papers) and Plant Disease Resistance and Genetics (5 papers). Gemma Arnau is often cited by papers focused on Potato Plant Research (12 papers), Plant Pathogens and Resistance (7 papers) and Plant Disease Resistance and Genetics (5 papers). Gemma Arnau collaborates with scholars based in France, Guadeloupe and Ivory Coast. Gemma Arnau's co-authors include J. Lallemand, Vincent Lebot, K. Abraham, Roger Malapa, Jean‐Louis Noyer, M.J. Cristóbal, María Pilar Queralt del Hierro, Judith Burstin, Alain Baranger and Anna‐Liisa Laine and has published in prestigious journals such as PLoS ONE, Scientific Reports and Theoretical and Applied Genetics.

In The Last Decade

Gemma Arnau

32 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gemma Arnau France 16 490 225 165 126 95 33 796
Yasuhiro Yogo Japan 15 329 0.7× 60 0.3× 156 0.9× 12 0.1× 15 0.2× 68 715
Yujin Park South Korea 14 492 1.0× 28 0.1× 158 1.0× 20 0.2× 20 0.2× 38 819
Shigang Wu China 10 268 0.5× 21 0.1× 489 3.0× 102 0.8× 11 0.1× 25 763
Bosheng Chen China 13 181 0.4× 23 0.1× 210 1.3× 138 1.1× 7 0.1× 33 1.1k
K. Nonaka Japan 16 61 0.1× 57 0.3× 27 0.2× 108 0.9× 18 0.2× 41 594
Jimmy K. Triplett United States 13 343 0.7× 13 0.1× 199 1.2× 61 0.5× 11 0.1× 23 677
K. Miyoshi Japan 20 763 1.6× 33 0.1× 634 3.8× 16 0.1× 94 1.0× 77 1.3k

Countries citing papers authored by Gemma Arnau

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Arnau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gemma Arnau

This figure shows the co-authorship network connecting the top 25 collaborators of Gemma Arnau. A scholar is included among the top collaborators of Gemma Arnau 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 Gemma Arnau. Gemma Arnau 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.
Arnau, Gemma, et al.. (2023). Quantitative trait loci and candidate genes for physico‐chemical traits related to tuber quality in greater yam (Dioscorea alata L.). Journal of the Science of Food and Agriculture. 104(8). 4872–4879. 2 indexed citations
2.
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
3.
Desfontaines, Lucienne, Gemma Arnau, Christian Mestres, et al.. (2023). Convolutional neural network allows amylose content prediction in yam (Dioscorea alata L.) flour using near infrared spectroscopy. Journal of the Science of Food and Agriculture. 104(8). 4915–4921. 9 indexed citations
4.
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
5.
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
6.
Cornet, Denis, Lucienne Desfontaines, Carine Marie-Magdeleine, et al.. (2021). Predicting quality, texture and chemical content of yam (Dioscorea alata L.) tubers using near infrared spectroscopy. Journal of Near Infrared Spectroscopy. 29(3). 128–139. 8 indexed citations
7.
Arnau, Gemma, et al.. (2019). Production of hybrid seeds by intraspecific crossing in yam Dioscorea alata L. SPIRE - Sciences Po Institutional REpository. 6 indexed citations
8.
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
9.
Scarcelli, Nora, Gemma Arnau, Claudie Pavis, et al.. (2016). CIRAD, IRD and INRA Yam genomic initiatives: unlocking genetic diversity and accelerating yam breeding. [W902]. 2 indexed citations
10.
Arnau, Gemma, et al.. (2016). Genetic diversity analysis in greater yam (Dioscorea alataL.) native to India using morphological and molecular markers. Acta Horticulturae. 51–58. 4 indexed citations
11.
Scheuerlein, C., et al.. (2015). Elastic Anisotropy in Multifilament <inline-formula> <tex-math notation="TeX">$\hbox{Nb}_{3}\hbox{Sn}$</tex-math></inline-formula> Superconducting Wires. IEEE Transactions on Applied Superconductivity. 25(3). 1–5. 19 indexed citations
12.
Scheuerlein, C., Gemma Arnau, Nóe Jiménez, et al.. (2014). 最先端技術のNb 3 Sn多フィラメント超伝導線におけるテクスチャ. Superconductor Science and Technology. 27(2). 1–6. 1 indexed citations
13.
Arnau, Gemma, et al.. (2013). Microsatellite and flow cytometry analysis to help understand the origin of Dioscorea alata polyploids. Annals of Botany. 112(5). 811–819. 26 indexed citations
14.
Abraham, K., et al.. (2012). Inheritance pattern of tetraploid Dioscorea alata and evidence of double reduction using microsatellite marker segregation analysis. Molecular Breeding. 30(4). 1657–1667. 9 indexed citations
15.
Arnau, Gemma, et al.. (2009). Revision of ploidy status of Dioscorea alata L. (Dioscoreaceae) by cytogenetic and microsatellite segregation analysis. Theoretical and Applied Genetics. 118(7). 1239–1249. 57 indexed citations
16.
17.
Baranger, Alain, Grégoire Aubert, Gemma Arnau, et al.. (2004). Genetic diversity within Pisum sativum using protein- and PCR-based markers. Theoretical and Applied Genetics. 108(7). 1309–1321. 126 indexed citations
18.
Pérez, F.J., et al.. (2001). High-Temperature Oxidation Studies of Low-Nickel Austenitic Stainless Steel. Part I: Isothermal Oxidation. Oxidation of Metals. 55(1-2). 105–118. 48 indexed citations
19.
Cristóbal, M.J., et al.. (2000). Effect of yttrium and erbium ion implantation on the oxidation behaviour of the AISI 304 austenitic steel. Surface and Coatings Technology. 126(2-3). 116–122. 30 indexed citations
20.
Arnau, Gemma & P. Monneveux. (1995). Physiology and genetics of terminal water stress tolerance in barley. Journal of genetics & breeding. 7 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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