Fabio Uggeri

130 total papers · 1.4k total citations
66 papers, 829 citations indexed

About

Fabio Uggeri is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fabio Uggeri has authored 66 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Surgery, 22 papers in Oncology and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fabio Uggeri's work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Pancreatic and Hepatic Oncology Research (9 papers) and Abdominal Trauma and Injuries (9 papers). Fabio Uggeri is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Pancreatic and Hepatic Oncology Research (9 papers) and Abdominal Trauma and Injuries (9 papers). Fabio Uggeri collaborates with scholars based in Italy, United States and Cameroon. Fabio Uggeri's co-authors include Roberto Caprotti, Fabrizio Romano, Franco Uggeri, Luca Gianotti, F. Romano, Luca Degrate, Mattia Garancini, Luca Nespoli, Giovanni Colombo and Chiara Franciosi and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Medicine and Annals of Surgical Oncology.

In The Last Decade

Fabio Uggeri

62 papers receiving 804 citations

Hit Papers

Early Gastric Cancer: Upd... 2023 2026 2024 2023 20 40 60

Author Peers

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

Author Last Decade Papers Cites
Fabio Uggeri 490 295 263 163 85 66 829
Norihisa Takakura 533 1.1× 418 1.4× 355 1.3× 119 0.7× 85 1.0× 94 985
Erhan Hamaloğlu 506 1.0× 240 0.8× 148 0.6× 97 0.6× 127 1.5× 71 896
Ryuichi Hamazoe 557 1.1× 363 1.2× 152 0.6× 122 0.7× 113 1.3× 61 960
Hideaki Yano 493 1.0× 169 0.6× 334 1.3× 167 1.0× 208 2.4× 65 1.0k
Raymond C. Doberneck 464 0.9× 259 0.9× 174 0.7× 117 0.7× 134 1.6× 50 871
Stefano Puleo 539 1.1× 322 1.1× 248 0.9× 210 1.3× 196 2.3× 94 1.0k
Erkin Öztaş 453 0.9× 212 0.7× 288 1.1× 102 0.6× 212 2.5× 78 872
Jayaprakash Sreenarasimhaiah 747 1.5× 360 1.2× 297 1.1× 81 0.5× 113 1.3× 44 967
Benjamin Thomson 693 1.4× 422 1.4× 295 1.1× 170 1.0× 66 0.8× 68 1.0k
P Ténière 740 1.5× 326 1.1× 228 0.9× 167 1.0× 93 1.1× 83 989

Countries citing papers authored by Fabio Uggeri

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Uggeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Uggeri

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