G. de Gregorio

53 total papers · 796 total citations
27 papers, 622 citations indexed

About

G. de Gregorio is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, G. de Gregorio has authored 27 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Rheumatology. Recurrent topics in G. de Gregorio's work include Pelvic floor disorders treatments (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Cancer-related Molecular Pathways (4 papers). G. de Gregorio is often cited by papers focused on Pelvic floor disorders treatments (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Cancer-related Molecular Pathways (4 papers). G. de Gregorio collaborates with scholars based in Italy, Germany and United States. G. de Gregorio's co-authors include Dan Mercola, Anja Krones‐Herzig, Véronique Baron, Antonio Porcellini, Antonella Calogero, Eileen D. Adamson, Thierry Virolle, Giuseppe Ragona, Thierry Virolle and Luigi Frati and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Oncogene.

In The Last Decade

G. de Gregorio

24 papers receiving 610 citations

Author Peers

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

Author Last Decade Papers Cites
G. de Gregorio 387 140 96 71 65 27 622
Islay Steele 290 0.7× 203 1.4× 116 1.2× 61 0.9× 30 0.5× 20 654
Fraser L. Baker 307 0.8× 217 1.6× 178 1.9× 120 1.7× 80 1.2× 29 710
H Schmidt 291 0.8× 159 1.1× 101 1.1× 113 1.6× 70 1.1× 33 641
Benio Tsuchiya 351 0.9× 132 0.9× 104 1.1× 56 0.8× 32 0.5× 25 581
Takehiro Serikawa 289 0.7× 110 0.8× 88 0.9× 47 0.7× 108 1.7× 30 771
Alan Lap‐Yin Pang 348 0.9× 91 0.7× 160 1.7× 39 0.5× 133 2.0× 19 597
Eliška Krejčí 392 1.0× 111 0.8× 97 1.0× 25 0.4× 74 1.1× 24 647
Bhavani S. Kowtharapu 368 1.0× 153 1.1× 160 1.7× 45 0.6× 41 0.6× 27 682
M. Bianchi 331 0.9× 188 1.3× 106 1.1× 114 1.6× 32 0.5× 43 700
F. Alameda 312 0.8× 268 1.9× 117 1.2× 75 1.1× 93 1.4× 28 712

Countries citing papers authored by G. de Gregorio

Since Specialization
Citations

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

Fields of papers citing papers by G. de Gregorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. de Gregorio

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