Paolo Governa

78 total papers · 1.1k total citations
51 papers, 842 citations indexed

About

Paolo Governa is a scholar working on Molecular Biology, Pharmacology and Food Science. According to data from OpenAlex, Paolo Governa has authored 51 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Pharmacology and 11 papers in Food Science. Recurrent topics in Paolo Governa's work include Cannabis and Cannabinoid Research (7 papers), Phytochemicals and Antioxidant Activities (7 papers) and Essential Oils and Antimicrobial Activity (7 papers). Paolo Governa is often cited by papers focused on Cannabis and Cannabinoid Research (7 papers), Phytochemicals and Antioxidant Activities (7 papers) and Essential Oils and Antimicrobial Activity (7 papers). Paolo Governa collaborates with scholars based in Italy, United States and Spain. Paolo Governa's co-authors include Marco Biagi, Vittoria Borgonetti, Fabrizio Manetti, Elisabetta Miraldi, Nicoletta Galeotti, Francesca Aiello, Gabriele Carullo, Daniela Giachetti, Giulia Baini and Anna Rosa Magnano and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, International Journal of Molecular Sciences and Nature Chemical Biology.

In The Last Decade

Paolo Governa

48 papers receiving 828 citations

Author Peers

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

Author Last Decade Papers Cites
Paolo Governa 248 169 159 131 129 51 842
Shehwaz Anwar 260 1.0× 123 0.7× 192 1.2× 173 1.3× 159 1.2× 32 985
Wan Amir Nizam Wan Ahmad 171 0.7× 110 0.7× 117 0.7× 189 1.4× 79 0.6× 58 780
Maximiliano Ibarra-Barajas 287 1.2× 126 0.7× 126 0.8× 207 1.6× 103 0.8× 39 845
Yang Hee Jo 469 1.9× 168 1.0× 125 0.8× 246 1.9× 129 1.0× 53 984
J Wójcicki 178 0.7× 117 0.7× 193 1.2× 105 0.8× 115 0.9× 75 948
Ikukatsu Suzuki 198 0.8× 145 0.9× 141 0.9× 166 1.3× 71 0.6× 38 788
Leticia Garduño‐Siciliano 230 0.9× 99 0.6× 98 0.6× 181 1.4× 120 0.9× 47 849
Luis A. Salazar‐Olivo 369 1.5× 88 0.5× 155 1.0× 253 1.9× 140 1.1× 35 939
Yhiya Amen 264 1.1× 228 1.3× 70 0.4× 191 1.5× 145 1.1× 74 805
Balu Maliakel 246 1.0× 144 0.9× 167 1.1× 138 1.1× 94 0.7× 44 968

Countries citing papers authored by Paolo Governa

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Governa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Governa

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