Marco Di Gregorio

37 total papers · 556 total citations
22 papers, 410 citations indexed

About

Marco Di Gregorio is a scholar working on Analytical Chemistry, Food Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Marco Di Gregorio has authored 22 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Analytical Chemistry, 6 papers in Food Science and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Marco Di Gregorio's work include Pesticide Residue Analysis and Safety (6 papers), Analytical chemistry methods development (6 papers) and Heavy Metal Exposure and Toxicity (4 papers). Marco Di Gregorio is often cited by papers focused on Pesticide Residue Analysis and Safety (6 papers), Analytical chemistry methods development (6 papers) and Heavy Metal Exposure and Toxicity (4 papers). Marco Di Gregorio collaborates with scholars based in Italy and Armenia. Marco Di Gregorio's co-authors include Francesco Petrucci, O. Senofonte, N Violante, S. D’Ilio, Giovanni Forte, Marilena D’Amato, Giuseppe Sancesario, Laura Ciaralli, Alessandro Alimonti and Beatrice Bocca and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Analytica Chimica Acta.

In The Last Decade

Marco Di Gregorio

20 papers receiving 390 citations

Author Peers

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

Author Last Decade Papers Cites
Marco Di Gregorio 143 134 69 66 54 22 410
Kátia Christina Leandro 84 0.6× 48 0.4× 79 1.1× 28 0.4× 43 0.8× 36 393
Daniel Andrey 154 1.1× 61 0.5× 15 0.2× 157 2.4× 24 0.4× 14 410
María Rosende 134 0.9× 148 1.1× 39 0.6× 216 3.3× 10 0.2× 28 478
Aleksandra Marjanović 43 0.3× 214 1.6× 39 0.6× 170 2.6× 15 0.3× 28 473
Rocío Barreiro 147 1.0× 31 0.2× 20 0.3× 31 0.5× 50 0.9× 24 417
Sanjay Mishra 38 0.3× 115 0.9× 15 0.2× 119 1.8× 12 0.2× 21 442
Maria Elisa Pereira Bastos de Siqueira 161 1.1× 78 0.6× 49 0.7× 31 0.5× 10 0.2× 36 466
Otis Evans 115 0.8× 157 1.2× 74 1.1× 40 0.6× 5 0.1× 10 488
Małgorzata Herman 94 0.7× 115 0.9× 39 0.6× 37 0.6× 6 0.1× 33 369
Suh‐Jen Jane Tsai 195 1.4× 30 0.2× 100 1.4× 22 0.3× 12 0.2× 27 450

Countries citing papers authored by Marco Di Gregorio

Since Specialization
Citations

This map shows the geographic impact of Marco 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 Marco 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 Marco Di Gregorio more than expected).

Fields of papers citing papers by Marco Di Gregorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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