Simona Di Gregorio

104 total papers · 2.0k total citations
62 papers, 1.5k citations indexed

About

Simona Di Gregorio is a scholar working on Pollution, Plant Science and Molecular Biology. According to data from OpenAlex, Simona Di Gregorio has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pollution, 19 papers in Plant Science and 16 papers in Molecular Biology. Recurrent topics in Simona Di Gregorio's work include Microbial bioremediation and biosurfactants (19 papers), Enzyme-mediated dye degradation (13 papers) and Microbial Community Ecology and Physiology (13 papers). Simona Di Gregorio is often cited by papers focused on Microbial bioremediation and biosurfactants (19 papers), Enzyme-mediated dye degradation (13 papers) and Microbial Community Ecology and Physiology (13 papers). Simona Di Gregorio collaborates with scholars based in Italy, Canada and Spain. Simona Di Gregorio's co-authors include Giovanni Vallini, G. Siracusa, Davide Dionisi, Simone Becarelli, Mauro Majone, Mario Beccari, Roberto Lorenzi, Silvia Lampis, Giulio Petroni and Salvatore La China and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Bioresource Technology.

In The Last Decade

Simona Di Gregorio

59 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Simona Di Gregorio 795 367 316 259 245 62 1.5k
Ziquan Wang 810 1.0× 171 0.5× 187 0.6× 239 0.9× 241 1.0× 85 1.5k
Yasser M. Awad 834 1.0× 342 0.9× 399 1.3× 388 1.5× 237 1.0× 39 2.3k
Dhruba Jyoti Sarkar 817 1.0× 291 0.8× 204 0.6× 396 1.5× 196 0.8× 75 1.7k
Ahmad Ali Pourbabaee 479 0.6× 254 0.7× 692 2.2× 176 0.7× 318 1.3× 54 1.6k
Meng Qin 745 0.9× 296 0.8× 274 0.9× 181 0.7× 155 0.6× 50 1.6k
Mara Cea 512 0.6× 292 0.8× 359 1.1× 563 2.2× 160 0.7× 60 1.8k
Sutapa Bose 870 1.1× 220 0.6× 429 1.4× 179 0.7× 235 1.0× 29 1.8k
Lei Ren 1.1k 1.4× 291 0.8× 334 1.1× 213 0.8× 689 2.8× 101 2.0k
Yuhong Huang 476 0.6× 170 0.5× 268 0.8× 293 1.1× 274 1.1× 81 1.9k
Reeta Goel 548 0.7× 240 0.7× 708 2.2× 186 0.7× 166 0.7× 71 1.7k

Countries citing papers authored by Simona Di Gregorio

Since Specialization
Citations

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

Fields of papers citing papers by Simona Di Gregorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simona Di Gregorio. 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 Simona Di Gregorio. The network helps show where Simona Di Gregorio may publish in the future.

Co-authorship network of co-authors of Simona Di Gregorio

This figure shows the co-authorship network connecting the top 25 collaborators of Simona Di Gregorio. A scholar is included among the top collaborators of Simona Di Gregorio 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 Simona Di Gregorio. Simona Di Gregorio 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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