G. De Ferrari

11 total papers · 564 total citations
7 papers, 432 citations indexed

About

G. De Ferrari is a scholar working on Clinical Biochemistry, Physiology and Nephrology. According to data from OpenAlex, G. De Ferrari has authored 7 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Clinical Biochemistry, 3 papers in Physiology and 2 papers in Nephrology. Recurrent topics in G. De Ferrari's work include Metabolism and Genetic Disorders (6 papers), Diet and metabolism studies (3 papers) and Folate and B Vitamins Research (2 papers). G. De Ferrari is often cited by papers focused on Metabolism and Genetic Disorders (6 papers), Diet and metabolism studies (3 papers) and Folate and B Vitamins Research (2 papers). G. De Ferrari collaborates with scholars based in Italy and United States. G. De Ferrari's co-authors include A Tizianello, Giacomo Garibotto, G Gurreri, Cristina Robaudo, Giulia Gastaldi, Umberto Laforenza, N Acquarone, D. Casirola, Gianguido Rindi and M. Orsenigo and has published in prestigious journals such as Journal of Clinical Investigation, American Journal of Clinical Nutrition and Journal of Nutrition.

In The Last Decade

G. De Ferrari

7 papers receiving 406 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 Ferrari 166 152 119 106 105 7 432
Donald E. Kamm 61 0.4× 132 0.9× 97 0.8× 152 1.4× 51 0.5× 13 391
L. Cosso 163 1.0× 69 0.5× 41 0.3× 98 0.9× 55 0.5× 9 410
Qiu Gen Zhou 51 0.3× 120 0.8× 84 0.7× 105 1.0× 63 0.6× 10 440
D Sandler 96 0.6× 68 0.4× 83 0.7× 89 0.8× 19 0.2× 11 451
Susan S. Godfrey 100 0.6× 76 0.5× 156 1.3× 158 1.5× 37 0.4× 8 446
G. N. Thompson 209 1.3× 199 1.3× 14 0.1× 108 1.0× 195 1.9× 12 409
Ernesto Rodríguez Ayala 88 0.5× 125 0.8× 157 1.3× 74 0.7× 21 0.2× 9 417
Brenda Sager 119 0.7× 158 1.0× 12 0.1× 80 0.8× 108 1.0× 10 421
Srinivas Dhanakoti 109 0.7× 247 1.6× 18 0.2× 145 1.4× 52 0.5× 8 492
LJ Hirsch 68 0.4× 175 1.2× 20 0.2× 110 1.0× 52 0.5× 14 451

Countries citing papers authored by G. De Ferrari

Since Specialization
Citations

This map shows the geographic impact of G. De Ferrari'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 Ferrari 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 Ferrari more than expected).

Fields of papers citing papers by G. De Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. De Ferrari

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