G. Sbolli

64 total papers · 962 total citations
38 papers, 704 citations indexed

About

G. Sbolli is a scholar working on Epidemiology, Hepatology and Pathology and Forensic Medicine. According to data from OpenAlex, G. Sbolli has authored 38 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Epidemiology, 20 papers in Hepatology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in G. Sbolli's work include Liver Disease Diagnosis and Treatment (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (14 papers) and Lymphoma Diagnosis and Treatment (4 papers). G. Sbolli is often cited by papers focused on Liver Disease Diagnosis and Treatment (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (14 papers) and Lymphoma Diagnosis and Treatment (4 papers). G. Sbolli collaborates with scholars based in Italy and United States. G. Sbolli's co-authors include Giuseppe Civardi, Fabio Fornari, Luigi Cavanna, M. Stasi, L Buscarini, Sandro Rossi, Elisabetta Buscarini, Luigi Buscarini, Daniele Vallisa and E. Buscarini and has published in prestigious journals such as Cancer, Gut and The American Journal of Medicine.

In The Last Decade

G. Sbolli

37 papers receiving 677 citations

Author Peers

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

Author						Papers	Cites
G. Sbolli	383	305	217	180	127	38	704
Pietro Gatti	551 1.4×	332 1.1×	124 0.6×	134 0.7×	106 0.8×	36	881
Toshikazu Masumoto	324 0.8×	346 1.1×	169 0.8×	203 1.1×	151 1.2×	39	797
Koji Waki	485 1.3×	308 1.0×	141 0.6×	219 1.2×	101 0.8×	42	842
Satoshi Nakano	451 1.2×	382 1.3×	125 0.6×	303 1.7×	101 0.8×	56	848
Yasuaki Kuwata	419 1.1×	240 0.8×	182 0.8×	249 1.4×	154 1.2×	31	699
I. Wichmann	211 0.6×	289 0.9×	65 0.3×	151 0.8×	105 0.8×	47	834
Yehyun Park	242 0.6×	325 1.1×	104 0.5×	222 1.2×	218 1.7×	62	849
T. Kirchhoff	249 0.7×	246 0.8×	102 0.5×	305 1.7×	104 0.8×	35	870
Ana Paula Barreiros	306 0.8×	304 1.0×	170 0.8×	319 1.8×	69 0.5×	28	719
Valentina Del Prete	225 0.6×	231 0.8×	348 1.6×	259 1.4×	223 1.8×	28	743

Countries citing papers authored by G. Sbolli

Since Specialization

Citations

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

Fields of papers citing papers by G. Sbolli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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