Gloria De Mori

529 total citations · 1 hit paper
9 papers, 428 citations indexed

About

Gloria De Mori is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Gloria De Mori has authored 9 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 5 papers in Molecular Biology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Gloria De Mori's work include Plant Physiology and Cultivation Studies (3 papers), Plant Virus Research Studies (2 papers) and Horticultural and Viticultural Research (2 papers). Gloria De Mori is often cited by papers focused on Plant Physiology and Cultivation Studies (3 papers), Plant Virus Research Studies (2 papers) and Horticultural and Viticultural Research (2 papers). Gloria De Mori collaborates with scholars based in Italy, Colombia and France. Gloria De Mori's co-authors include D. Bassi, Federica Savazzini, Francesco Palmisano, A. Minafra, Rachele Falchi, Filippo Geuna, Luca Dondini, Stefano Tartarini, Alessandro Spadotto and G. Cipriani and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Plant Science and Crop Science.

In The Last Decade

Gloria De Mori

9 papers receiving 423 citations

Hit Papers

Resistance to Sharka in Apricot: Comparison of Phase-Reco... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gloria De Mori Italy 5 329 121 35 33 32 9 428
Anne Sophie A. S. Walker France 2 392 1.2× 132 1.1× 25 0.7× 52 1.6× 26 0.8× 3 516
Gerardo Armando Aguado-Santacruz Mexico 12 444 1.3× 198 1.6× 19 0.5× 44 1.3× 38 1.2× 26 560
Tribikram Bhattarai Nepal 9 391 1.2× 217 1.8× 24 0.7× 56 1.7× 24 0.8× 21 618
Jan J. Ślaski Canada 16 590 1.8× 106 0.9× 40 1.1× 30 0.9× 31 1.0× 57 708
Kevin J. Betts United States 12 387 1.2× 81 0.7× 21 0.6× 47 1.4× 24 0.8× 21 547
Xing Han China 15 535 1.6× 210 1.7× 27 0.8× 25 0.8× 90 2.8× 43 681
Francisco Sánchez Spain 8 451 1.4× 66 0.5× 22 0.6× 25 0.8× 41 1.3× 11 545
Yufei Zhou China 13 443 1.3× 87 0.7× 25 0.7× 17 0.5× 31 1.0× 44 552
Chaodong Yang China 13 231 0.7× 84 0.7× 22 0.6× 95 2.9× 16 0.5× 30 336
Nematollah Etemadi Iran 16 624 1.9× 107 0.9× 28 0.8× 73 2.2× 42 1.3× 58 732

Countries citing papers authored by Gloria De Mori

Since Specialization
Citations

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

Fields of papers citing papers by Gloria De Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gloria De Mori. 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 Gloria De Mori. The network helps show where Gloria De Mori may publish in the future.

Co-authorship network of co-authors of Gloria De Mori

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

All Works

9 of 9 papers shown
1.
Ashraf, Iqra, G. Cipriani, & Gloria De Mori. (2025). Bridging the Gap: Genetic Insights into Graft Compatibility for Enhanced Kiwifruit Production. International Journal of Molecular Sciences. 26(7). 2925–2925. 1 indexed citations
2.
Mori, Gloria De & G. Cipriani. (2023). Marker-Assisted Selection in Breeding for Fruit Trait Improvement: A Review. International Journal of Molecular Sciences. 24(10). 8984–8984. 22 indexed citations
3.
Testolin, R., R. Messina, G. Cipriani, & Gloria De Mori. (2022). SSR‐based DNA fingerprinting of fruit crops. Crop Science. 63(2). 390–459. 20 indexed citations
4.
Wiedemann‐Merdinoglu, Sabine, Didier Merdinoglu, Daniele Migliaro, et al.. (2021). Construction of a high-density genetic map and detection of a major QTL of resistance to powdery mildew (Erysiphe necator Sch.) in Caucasian grapes (Vitis vinifera L.). BMC Plant Biology. 21(1). 528–528. 20 indexed citations
5.
Testolin, R., et al.. (2021). Pyramiding resistance genes and widening the genetic base of the apple (Malus × domestica Borkh.) crop. Institutional Research Information System (University of Udine). 28(1). 32–32. 3 indexed citations
6.
Mori, Gloria De, R. Testolin, & G. Cipriani. (2021). A molecular protocol for Early Sex Discrimination (ESD) in Actinidia spp. Journal of Berry Research. 12(2). 249–266. 3 indexed citations
7.
Mori, Gloria De, et al.. (2020). Targeted Mutagenesis of the Female-Suppressor SyGI Gene in Tetraploid Kiwifruit by CRISPR/CAS9. Plants. 10(1). 62–62. 11 indexed citations
8.
Mori, Gloria De, Rachele Falchi, D. Bassi, et al.. (2019). Resistance to Sharka in Apricot: Comparison of Phase-Reconstructed Resistant and Susceptible Haplotypes of ‘Lito’ Chromosome 1 and Analysis of Candidate Genes. Frontiers in Plant Science. 10. 1576–1576. 347 indexed citations breakdown →
9.
Savazzini, Federica, Luca Dondini, Stefano Tartarini, et al.. (2017). Construction of a minimum tiling path of BAC clones covering the Sharka resistance region in apricot. Acta Horticulturae. 47–52. 1 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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