G Badolati

39 total papers · 495 total citations
22 papers, 369 citations indexed

About

G Badolati is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, G Badolati has authored 22 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in G Badolati's work include Viral gastroenteritis research and epidemiology (5 papers), Influenza Virus Research Studies (4 papers) and Respiratory viral infections research (3 papers). G Badolati is often cited by papers focused on Viral gastroenteritis research and epidemiology (5 papers), Influenza Virus Research Studies (4 papers) and Respiratory viral infections research (3 papers). G Badolati collaborates with scholars based in Italy. G Badolati's co-authors include Silvio De Flora, Silvio De Flora, Carlo Bennicelli, Patrizia Zanacchi, Anna Camoirano, M. R. Magnolia, A. Picciotto, Vincenzo Savarino, Patrizio Caciagli and Andrea Bacigalupo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of General Virology and Vaccine.

In The Last Decade

G Badolati

21 papers receiving 332 citations

Author Peers

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

Author						Papers	Cites
G Badolati	111	108	61	58	45	22	369
Zhuangzhi Yang	39 0.4×	91 0.8×	96 1.6×	35 0.6×	25 0.6×	16	378
Junko Matsubara	39 0.4×	144 1.3×	63 1.0×	34 0.6×	35 0.8×	34	443
Yuhan Gao	37 0.3×	16 0.1×	98 1.6×	74 1.3×	20 0.4×	31	392
P S MacWilliams	77 0.7×	53 0.5×	78 1.3×	49 0.8×	17 0.4×	26	445
Markus Woegerbauer	16 0.1×	21 0.2×	115 1.9×	59 1.0×	18 0.4×	17	396
Chih‐Hung Lin	48 0.4×	77 0.7×	140 2.3×	25 0.4×	12 0.3×	21	436
Ángel H. Álvarez	18 0.2×	111 1.0×	98 1.6×	90 1.6×	4 0.1×	24	425
H. Kenneth Dillon	37 0.3×	174 1.6×	51 0.8×	31 0.5×	5 0.1×	21	403
Monique Parenteau	25 0.2×	93 0.9×	42 0.7×	65 1.1×	5 0.1×	13	403
Anna Velia Stazi	38 0.3×	86 0.8×	44 0.7×	7 0.1×	5 0.1×	27	414

Countries citing papers authored by G Badolati

Since Specialization

Citations

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

Fields of papers citing papers by G Badolati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Badolati

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