Laura Rossini

5.7k total citations
71 papers, 2.6k citations indexed

About

Laura Rossini is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Laura Rossini has authored 71 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Plant Science, 40 papers in Molecular Biology and 14 papers in Genetics. Recurrent topics in Laura Rossini's work include Plant Reproductive Biology (25 papers), Plant Physiology and Cultivation Studies (22 papers) and Plant Molecular Biology Research (16 papers). Laura Rossini is often cited by papers focused on Plant Reproductive Biology (25 papers), Plant Physiology and Cultivation Studies (22 papers) and Plant Molecular Biology Research (16 papers). Laura Rossini collaborates with scholars based in Italy, France and Spain. Laura Rossini's co-authors include D. Bassi, Jane A. Langdale, Iban Eduardo, Igor Pacheco, Alberto Vecchietti, Giorgiana Chietera, Elahe Tavakol, David James Martin, Carlo Pozzi and Raul Pirona and has published in prestigious journals such as PLoS ONE, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Laura Rossini

69 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Rossini Italy 28 2.2k 1.3k 382 217 162 71 2.6k
Sateesh Kagale Canada 22 2.4k 1.1× 1.5k 1.1× 205 0.5× 116 0.5× 165 1.0× 46 2.9k
Kenta Shirasawa Japan 37 3.6k 1.6× 1.9k 1.4× 773 2.0× 233 1.1× 217 1.3× 191 4.3k
Alberto Acquadro Italy 30 1.8k 0.8× 717 0.5× 360 0.9× 163 0.8× 119 0.7× 102 2.3k
M. J. Asíns Spain 32 2.9k 1.3× 818 0.6× 550 1.4× 309 1.4× 213 1.3× 81 3.1k
María José Truco United States 26 1.8k 0.8× 806 0.6× 361 0.9× 238 1.1× 108 0.7× 56 2.1k
Stefano Pavan Italy 27 2.1k 1.0× 618 0.5× 323 0.8× 199 0.9× 154 1.0× 65 2.6k
Nabila Yahiaoui France 31 2.8k 1.2× 1.0k 0.7× 282 0.7× 110 0.5× 69 0.4× 53 3.2k
Andrew Baumgarten United States 8 2.1k 1.0× 1.3k 1.0× 234 0.6× 134 0.6× 115 0.7× 9 2.5k
Ki‐Byung Lim South Korea 32 2.9k 1.3× 2.3k 1.7× 263 0.7× 345 1.6× 460 2.8× 203 3.5k
Douglas Senalik United States 27 1.5k 0.7× 1.2k 0.9× 652 1.7× 247 1.1× 281 1.7× 54 2.3k

Countries citing papers authored by Laura Rossini

Since Specialization
Citations

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

Fields of papers citing papers by Laura Rossini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Rossini

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Rossini. A scholar is included among the top collaborators of Laura Rossini 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 Laura Rossini. Laura Rossini 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.
Linge, Cássia da Silva, Angelo Ciacciulli, Remo Chiozzotto, et al.. (2025). A novel trait to reduce the mechanical damage of peach fruits at harvest: The first genetic dissection study for peduncle length. Molecular Breeding. 45(3). 29–29.
2.
Scaglione, Davide, Angelo Ciacciulli, Stefano Gattolin, et al.. (2025). Deep resequencing unveils novel SNPs, InDels, and large structural variants for the clonal fingerprinting of sweet orange [ Citrus sinensis (L.) Osbeck]. The Plant Genome. 18(1). e20544–e20544. 1 indexed citations
3.
Paleari, Livia, Alessandro Tondelli, Luigi Cattivelli, et al.. (2025). Extending genomic prediction to future climates through crop modelling. A case study on heading time in barley. Agricultural and Forest Meteorology. 368. 110560–110560. 1 indexed citations
4.
Masiero, Simona, Riccardo Capelli, Carlo Camilloni, et al.. (2025). A Mg‐Chelatase Subunit I Missense Mutant in Barley Exhibits a Cold‐Sensitive Phenotype Under Field Conditions. Physiologia Plantarum. 177(4). e70434–e70434.
5.
Tadini, Luca, Peter Jahns, Menachem Moshelion, et al.. (2024). A missense mutation in the barley Xan-h gene encoding the Mg-chelatase subunit I leads to a viable pale green line with reduced daily transpiration rate. Plant Cell Reports. 43(10). 246–246. 1 indexed citations
6.
Tondelli, Alessandro, Luigi Cattivelli, Robbie Waugh, et al.. (2022). Multi-environment genome -wide association mapping of culm morphology traits in barley. Frontiers in Plant Science. 13. 926277–926277. 8 indexed citations
7.
8.
Linge, Cássia da Silva, Laima Antanaviciute, Pere Arús, et al.. (2018). High-density multi-population consensus genetic linkage map for peach. PLoS ONE. 13(11). e0207724–e0207724. 24 indexed citations
9.
Verde, Ignazio, Jerry Jenkins, Luca Dondini, et al.. (2017). The Peach v2.0 release: high-resolution linkage mapping and deep resequencing improve chromosome-scale assembly and contiguity. BMC Genomics. 18(1). 225–225. 273 indexed citations
10.
Cirilli, Marco, Tiziano Flati, Silvia Gioiosa, et al.. (2017). PeachVar-DB: A Curated Collection of Genetic Variations for the Interactive Analysis of Peach Genome Data. Plant and Cell Physiology. 59(1). e2–e2. 13 indexed citations
11.
Cirilli, Marco, Laura Rossini, Filippo Geuna, et al.. (2017). Genetic dissection of Sharka disease tolerance in peach (P. persica L. Batsch). BMC Plant Biology. 17(1). 192–192. 19 indexed citations
12.
Tavakol, Elahe, Alessandro Tondelli, Xin Xu, et al.. (2016). Photoperiod-H1 (Ppd-H1) Controls Leaf Size. PLANT PHYSIOLOGY. 172(1). 405–415. 63 indexed citations
13.
Tavakol, Elahe, Ron J. Okagaki, Vahid Shariati J., et al.. (2015). The Barley Uniculme4 Gene Encodes a BLADE-ON-PETIOLE-Like Protein That Controls Tillering and Leaf Patterning. PLANT PHYSIOLOGY. 168(1). 164–174. 71 indexed citations
14.
Greco, Raffaella, Adamantia Agalou, Jingxia Shao, et al.. (2014). Interaction between theGROWTH-REGULATING FACTORandKNOTTED1-LIKE HOMEOBOXFamilies of Transcription Factors  . PLANT PHYSIOLOGY. 164(4). 1952–1966. 133 indexed citations
15.
Vendramin, Elisa, Giorgio Pea, Luca Dondini, et al.. (2014). A Unique Mutation in a MYB Gene Cosegregates with the Nectarine Phenotype in Peach. PLoS ONE. 9(3). e90574–e90574. 78 indexed citations
16.
Pirona, Raul, Alberto Vecchietti, Andrea Caprera, et al.. (2012). Expression profiling of genes involved in the formation of aroma in two peach genotypes. Plant Biology. 15(3). 443–451. 12 indexed citations
17.
Feuillet, Catherine, Nils Stein, Laura Rossini, et al.. (2012). Integrating cereal genomics to support innovation in the Triticeae. Functional & Integrative Genomics. 12(4). 573–583. 35 indexed citations
18.
Eduardo, Iban, Giorgiana Chietera, D. Bassi, Laura Rossini, & Alberto Vecchietti. (2010). Identification of key odor volatile compounds in the essential oil of nine peach accessions. Journal of the Science of Food and Agriculture. 90(7). 1146–1154. 116 indexed citations
19.
Roig, Cristina, Carlo Pozzi, Luca Santi, et al.. (2004). Genetics of Barley Hooded Suppression. Genetics. 167(1). 439–448. 22 indexed citations
20.
Rossini, Laura, et al.. (1995). Molecular analysis and mapping of two genes encoding maize glutathione S-transferases (GST I and GST II). Molecular and General Genetics MGG. 248(5). 535–539. 11 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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