G. Cavallari

46 total papers · 529 total citations
33 papers, 412 citations indexed

About

G. Cavallari is a scholar working on Surgery, Hepatology and Transplantation. According to data from OpenAlex, G. Cavallari has authored 33 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 12 papers in Hepatology and 11 papers in Transplantation. Recurrent topics in G. Cavallari's work include Organ Transplantation Techniques and Outcomes (20 papers), Liver Disease and Transplantation (12 papers) and Renal Transplantation Outcomes and Treatments (11 papers). G. Cavallari is often cited by papers focused on Organ Transplantation Techniques and Outcomes (20 papers), Liver Disease and Transplantation (12 papers) and Renal Transplantation Outcomes and Treatments (11 papers). G. Cavallari collaborates with scholars based in Italy, Switzerland and United States. G. Cavallari's co-authors include Bruno Nardo, Riccardo Bertelli, Richard A. Zuellig, Roger Lehmann, Wolfgang Moritz, Flavia Neri, Markus Weber, Alessandro Faenza, Antonino Cavallari and Roberto Montalti and has published in prestigious journals such as Diseases of the Colon & Rectum, Bone Marrow Transplantation and Journal of Tissue Engineering and Regenerative Medicine.

In The Last Decade

G. Cavallari

33 papers receiving 394 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. Cavallari 297 104 104 85 83 33 412
R Weil 300 1.0× 50 0.5× 133 1.3× 129 1.5× 68 0.8× 19 446
G. Florack 415 1.4× 48 0.5× 38 0.4× 95 1.1× 91 1.1× 31 487
George M. Abouna 231 0.8× 123 1.2× 64 0.6× 184 2.2× 32 0.4× 25 400
Francisco Arnal 297 1.0× 100 1.0× 199 1.9× 51 0.6× 65 0.8× 26 447
Kiara Tulla 178 0.6× 89 0.9× 29 0.3× 82 1.0× 129 1.6× 27 477
L.S Leonardi 219 0.7× 38 0.4× 182 1.8× 37 0.4× 38 0.5× 38 463
Hakala Tr 217 0.7× 83 0.8× 36 0.3× 231 2.7× 42 0.5× 21 390
F. Quarto di Palo 103 0.3× 76 0.7× 56 0.5× 116 1.4× 119 1.4× 30 410
A. Gruessner 368 1.2× 87 0.8× 30 0.3× 275 3.2× 26 0.3× 22 432
Dean Y. Kim 224 0.8× 70 0.7× 130 1.3× 140 1.6× 42 0.5× 28 390

Countries citing papers authored by G. Cavallari

Since Specialization
Citations

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

Fields of papers citing papers by G. Cavallari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Cavallari

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