Gloria De Mori

30 total papers · 526 total citations
9 papers, 425 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 425 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 Plant tissue culture and regeneration (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 Plant tissue culture and regeneration (2 papers). Gloria De Mori collaborates with scholars based in Italy, Colombia and France. Gloria De Mori's co-authors include Alessandro Spadotto, Filippo Geuna, Francesco Palmisano, Rachele Falchi, Stefano Tartarini, D. Bassi, Luca Dondini, Federica Savazzini, A. Minafra 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 421 citations

Hit Papers

Resistance to Sharka in A... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gloria De Mori 326 120 34 33 32 9 425
G. Nervo 200 0.6× 98 0.8× 30 0.9× 25 0.8× 17 0.5× 18 375
Lidia López‐Serrano 377 1.2× 105 0.9× 14 0.4× 25 0.8× 28 0.9× 14 462
Markus Bönn 239 0.7× 193 1.6× 48 1.4× 38 1.2× 10 0.3× 13 444
R. Mead 238 0.7× 45 0.4× 22 0.6× 28 0.8× 33 1.0× 4 462
Ramwant Gupta 337 1.0× 124 1.0× 26 0.8× 84 2.5× 36 1.1× 19 437
M. Bernier-Cardou 235 0.7× 153 1.3× 17 0.5× 34 1.0× 13 0.4× 18 379
Peter Leech 191 0.6× 49 0.4× 21 0.6× 73 2.2× 23 0.7× 10 368
Martin Heß 222 0.7× 98 0.8× 8 0.2× 59 1.8× 34 1.1× 9 376
Maren E. Veatch‐Blohm 368 1.1× 106 0.9× 66 1.9× 34 1.0× 44 1.4× 22 469
Giovanni Figliuolo 292 0.9× 40 0.3× 54 1.6× 40 1.2× 32 1.0× 21 486

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

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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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