Mariolina Gullì

66 total papers · 2.4k total citations
51 papers, 1.7k citations indexed

About

Mariolina Gullì is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Mariolina Gullì has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 28 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Mariolina Gullì's work include Wheat and Barley Genetics and Pathology (10 papers), Plant Stress Responses and Tolerance (10 papers) and Identification and Quantification in Food (8 papers). Mariolina Gullì is often cited by papers focused on Wheat and Barley Genetics and Pathology (10 papers), Plant Stress Responses and Tolerance (10 papers) and Identification and Quantification in Food (8 papers). Mariolina Gullì collaborates with scholars based in Italy, United States and Finland. Mariolina Gullì's co-authors include Nelson Marmiroli, Elena Maestri, Henry T. Nguyen, Carla Perrotta, Clelia Peano, Sara Graziano, Natalya Klueva, Michela Janni, Marta Marmiroli and Giovanna Visioli and has published in prestigious journals such as Blood, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Mariolina Gullì

50 papers receiving 1.6k citations

Hit Papers

Molecular and genetic bas... 2020 2026 2022 2024 2020 2024 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Mariolina Gullì 1.1k 781 212 146 125 51 1.7k
Sébastien Planchon 974 0.9× 725 0.9× 70 0.3× 118 0.8× 54 0.4× 73 1.9k
Bruce G. Hammond 1.4k 1.2× 1.2k 1.5× 394 1.9× 175 1.2× 116 0.9× 37 2.0k
Luigi Orrù 630 0.6× 548 0.7× 287 1.4× 328 2.2× 139 1.1× 55 1.5k
Xin Li 1.1k 1.0× 312 0.4× 118 0.6× 144 1.0× 102 0.8× 88 1.6k
Zoran Minić 1.0k 0.9× 1.2k 1.5× 114 0.5× 121 0.8× 39 0.3× 77 2.0k
Peter R. Shewry 1.1k 1.0× 875 1.1× 122 0.6× 163 1.1× 108 0.9× 47 1.7k
Naxin Huo 1.2k 1.1× 649 0.8× 393 1.9× 33 0.2× 75 0.6× 36 1.7k
I. E. Liener 893 0.8× 737 0.9× 80 0.4× 465 3.2× 70 0.6× 50 2.1k
Edward K. Gilding 725 0.7× 1.2k 1.5× 74 0.3× 97 0.7× 49 0.4× 48 1.6k
Wei Hua 895 0.8× 958 1.2× 229 1.1× 29 0.2× 49 0.4× 59 1.6k

Countries citing papers authored by Mariolina Gullì

Since Specialization
Citations

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

Fields of papers citing papers by Mariolina Gullì

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariolina Gullì

This figure shows the co-authorship network connecting the top 25 collaborators of Mariolina Gullì. A scholar is included among the top collaborators of Mariolina Gullì 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 Mariolina Gullì. Mariolina Gullì 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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