Guido Scalia

122 total papers · 1.3k total citations
60 papers, 712 citations indexed

About

Guido Scalia is a scholar working on Epidemiology, Infectious Diseases and Cell Biology. According to data from OpenAlex, Guido Scalia has authored 60 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Epidemiology, 19 papers in Infectious Diseases and 8 papers in Cell Biology. Recurrent topics in Guido Scalia's work include Fungal Infections and Studies (13 papers), Antifungal resistance and susceptibility (11 papers) and Plant Pathogens and Fungal Diseases (8 papers). Guido Scalia is often cited by papers focused on Fungal Infections and Studies (13 papers), Antifungal resistance and susceptibility (11 papers) and Plant Pathogens and Fungal Diseases (8 papers). Guido Scalia collaborates with scholars based in Italy, Croatia and Finland. Guido Scalia's co-authors include Stefania Stefani, Massimo Libra, Dafne Bongiorno, Nicolò Musso, Giuseppe Gattuso, Concetta Palermo, Luca Falzone, Laura Trovato, Salvatore Massimo Oliveri and Maria Teresa Bruno and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Journal of Clinical Microbiology.

In The Last Decade

Guido Scalia

55 papers receiving 694 citations

Author Peers

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

Author						Papers	Cites
Guido Scalia	299	228	104	93	90	60	712
Kaiwen Chen	212 0.7×	184 0.8×	106 1.0×	66 0.7×	172 1.9×	41	801
Anke Binder	296 1.0×	377 1.7×	137 1.3×	84 0.9×	146 1.6×	25	774
Joshua A. Lieberman	122 0.4×	278 1.2×	164 1.6×	67 0.7×	45 0.5×	48	831
Kathleen L. Vincent	189 0.6×	185 0.8×	137 1.3×	51 0.5×	37 0.4×	58	892
Salina Torres	176 0.6×	222 1.0×	188 1.8×	29 0.3×	27 0.3×	32	791
Jonas Michel Wolf	258 0.9×	115 0.5×	210 2.0×	25 0.3×	42 0.5×	59	649
Gemma Johnson	312 1.0×	351 1.5×	254 2.4×	74 0.8×	31 0.3×	28	814
Praveen Kumar Balne	173 0.6×	102 0.4×	92 0.9×	50 0.5×	83 0.9×	54	798
Isabell Pink	121 0.4×	283 1.2×	137 1.3×	78 0.8×	109 1.2×	29	765
Ruijuan Zheng	319 1.1×	398 1.7×	308 3.0×	56 0.6×	109 1.2×	50	824

Countries citing papers authored by Guido Scalia

Since Specialization

Citations

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

Fields of papers citing papers by Guido Scalia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Scalia

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