G Salvidio

21 total papers · 634 total citations
14 papers, 453 citations indexed

About

G Salvidio is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, G Salvidio has authored 14 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nephrology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Immunology. Recurrent topics in G Salvidio's work include Renal Diseases and Glomerulopathies (5 papers), Inflammatory mediators and NSAID effects (2 papers) and Electrolyte and hormonal disorders (2 papers). G Salvidio is often cited by papers focused on Renal Diseases and Glomerulopathies (5 papers), Inflammatory mediators and NSAID effects (2 papers) and Electrolyte and hormonal disorders (2 papers). G Salvidio collaborates with scholars based in United States, Italy and Pakistan. G Salvidio's co-authors include Giovanni Camussi, Corrado Baglioni, Federico Bussolino, Giuseppe A. Andres, Jan R. Brentjens, G Biesecker, Giacomo Deferrari, Stefano Saffioti, Cristina Robaudo and A Tizianello and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and American Journal of Clinical Nutrition.

In The Last Decade

G Salvidio

13 papers receiving 430 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 Salvidio 157 91 85 71 68 14 453
A Papayianni 231 1.5× 73 0.8× 98 1.2× 122 1.7× 49 0.7× 8 530
Jan Forslid 197 1.3× 63 0.7× 71 0.8× 72 1.0× 78 1.1× 18 512
Michaela Finsterbusch 230 1.5× 81 0.9× 104 1.2× 36 0.5× 35 0.5× 17 529
Tatsuomi Yasaka 145 0.9× 105 1.2× 148 1.7× 61 0.9× 45 0.7× 19 487
Klaus Burkhardt 92 0.6× 61 0.7× 95 1.1× 66 0.9× 35 0.5× 20 455
Koshu Okubo 255 1.6× 61 0.7× 133 1.6× 42 0.6× 25 0.4× 12 463
D. M. Humphrey 118 0.8× 91 1.0× 76 0.9× 14 0.2× 73 1.1× 10 490
Marco Morale 98 0.6× 88 1.0× 58 0.7× 23 0.3× 37 0.5× 14 483
Leonard A. Arbeit 56 0.4× 106 1.2× 88 1.0× 78 1.1× 35 0.5× 19 551
D.A.K. Black 60 0.4× 74 0.8× 129 1.5× 57 0.8× 42 0.6× 18 547

Countries citing papers authored by G Salvidio

Since Specialization
Citations

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

Fields of papers citing papers by G Salvidio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Salvidio

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