Antonio De Giuseppe

26 total papers · 462 total citations
14 papers, 371 citations indexed

About

Antonio De Giuseppe is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Antonio De Giuseppe has authored 14 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in Antonio De Giuseppe's work include T-cell and Retrovirus Studies (4 papers), Vector-Borne Animal Diseases (4 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Antonio De Giuseppe is often cited by papers focused on T-cell and Retrovirus Studies (4 papers), Vector-Borne Animal Diseases (4 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Antonio De Giuseppe collaborates with scholars based in Italy, Poland and United States. Antonio De Giuseppe's co-authors include Pier Giuseppe Pelicci, Francesco Feliziani, Gian Mario De Mia, Marco Giorgio, Luciana Dente, Gianni Cesareni, Costantino Vetriani, Monica Cagiola, Flavia Troglio and Giuliana Pelicci and has published in prestigious journals such as Molecular and Cellular Biology, Veterinary Microbiology and Microbial Cell Factories.

In The Last Decade

Antonio De Giuseppe

14 papers receiving 365 citations

Author Peers

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

Author						Papers	Cites
Antonio De Giuseppe	170	80	69	65	56	14	371
María Licursi	185 1.1×	80 1.0×	156 2.3×	20 0.3×	66 1.2×	21	429
Carolina Epifano	197 1.2×	81 1.0×	30 0.4×	42 0.6×	51 0.9×	12	374
Mark D. Robida	197 1.2×	84 1.1×	37 0.5×	32 0.5×	60 1.1×	16	369
J.F. Santarén	226 1.3×	124 1.6×	58 0.8×	66 1.0×	15 0.3×	12	385
A. K. Smith	73 0.4×	80 1.0×	66 1.0×	14 0.2×	50 0.9×	21	405
Jun Rong	185 1.1×	19 0.2×	47 0.7×	47 0.7×	15 0.3×	25	439
P. Denis	210 1.2×	56 0.7×	63 0.9×	71 1.1×	39 0.7×	11	398
Heather Branscome	234 1.4×	27 0.3×	78 1.1×	63 1.0×	13 0.2×	19	374
Rebekah van Bruggen	160 0.9×	55 0.7×	62 0.9×	38 0.6×	13 0.2×	18	380
Joana R. Lérias	140 0.8×	93 1.2×	82 1.2×	53 0.8×	40 0.7×	19	413

Countries citing papers authored by Antonio De Giuseppe

Since Specialization

Citations

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

Fields of papers citing papers by Antonio De Giuseppe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio De Giuseppe. 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 Antonio De Giuseppe. The network helps show where Antonio De Giuseppe may publish in the future.

Co-authorship network of co-authors of Antonio De Giuseppe

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio De Giuseppe. A scholar is included among the top collaborators of Antonio De Giuseppe 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 Antonio De Giuseppe. Antonio De Giuseppe 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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