G. Grossi

56 total papers · 1.3k total citations
28 papers, 871 citations indexed

About

G. Grossi is a scholar working on Hepatology, Epidemiology and Infectious Diseases. According to data from OpenAlex, G. Grossi has authored 28 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Hepatology, 20 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in G. Grossi's work include Hepatitis B Virus Studies (17 papers), Hepatitis C virus research (17 papers) and Liver Disease Diagnosis and Treatment (10 papers). G. Grossi is often cited by papers focused on Hepatitis B Virus Studies (17 papers), Hepatitis C virus research (17 papers) and Liver Disease Diagnosis and Treatment (10 papers). G. Grossi collaborates with scholars based in Italy, United Kingdom and United States. G. Grossi's co-authors include Pietro Lampertico, Mauro Viganò, Alessandro Loglio, Carolina Boni, Carlo Ferrari, T. Giuberti, Federica Invernizzi, Marco Bongini, Manuela Ferracin and Valeria Barili and has published in prestigious journals such as Nature Medicine, Gastroenterology and Scientific Reports.

In The Last Decade

G. Grossi

27 papers receiving 855 citations

Author Peers

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

Author						Papers	Cites
G. Grossi	555	530	195	116	90	28	871
Onofrio G. Manghisi	524 0.9×	518 1.0×	141 0.7×	61 0.5×	33 0.4×	33	876
P. J. Grob	461 0.8×	411 0.8×	177 0.9×	82 0.7×	86 1.0×	42	970
Kouzaburo Yamaji	403 0.7×	394 0.7×	177 0.9×	110 0.9×	75 0.8×	27	758
Mathis Heydtmann	553 1.0×	666 1.3×	224 1.1×	139 1.2×	29 0.3×	31	1.0k
Fanny Lebossé	716 1.3×	755 1.4×	136 0.7×	78 0.7×	164 1.8×	37	1.0k
Fabien Lavocat	398 0.7×	361 0.7×	212 1.1×	82 0.7×	89 1.0×	26	830
Vincent Leroy	545 1.0×	634 1.2×	59 0.3×	111 1.0×	86 1.0×	41	942
Carmela Cacciapuoti	627 1.1×	661 1.2×	98 0.5×	69 0.6×	84 0.9×	20	923
Sk. Md. Fazle Akbar	418 0.8×	318 0.6×	485 2.5×	98 0.8×	71 0.8×	27	864
Wenwei Yin	413 0.7×	259 0.5×	463 2.4×	128 1.1×	157 1.7×	28	850

Countries citing papers authored by G. Grossi

Since Specialization

Citations

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

Fields of papers citing papers by G. Grossi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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