Giuseppe De Matteis

89 total papers · 1.8k total citations
60 papers, 1.1k citations indexed

About

Giuseppe De Matteis is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Giuseppe De Matteis has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 10 papers in Infectious Diseases and 10 papers in Surgery. Recurrent topics in Giuseppe De Matteis's work include Migraine and Headache Studies (9 papers), COVID-19 Clinical Research Studies (8 papers) and Frailty in Older Adults (7 papers). Giuseppe De Matteis is often cited by papers focused on Migraine and Headache Studies (9 papers), COVID-19 Clinical Research Studies (8 papers) and Frailty in Older Adults (7 papers). Giuseppe De Matteis collaborates with scholars based in Italy, United States and Japan. Giuseppe De Matteis's co-authors include A Carolei, Corrado P. Marini, Marcello Covino, Francesco Franceschi, Benedetta Simeoni, Antonio Gasbarrini, Michele Santoro, Andrea Russo, Maria Giuliana Tozzi Ciancarelli and Rocco Totaro and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Giuseppe De Matteis

57 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Giuseppe De Matteis 331 243 238 184 172 60 1.1k
Marion Bertrand 200 0.6× 265 1.1× 261 1.1× 45 0.2× 50 0.3× 51 1.4k
Themba Nyirenda 100 0.3× 311 1.3× 131 0.6× 61 0.3× 37 0.2× 61 970
Doug W Gould 58 0.2× 87 0.4× 189 0.8× 143 0.8× 65 0.4× 46 1.2k
Joseph Barr 137 0.4× 72 0.3× 95 0.4× 47 0.3× 64 0.4× 50 1.1k
Gabriele Savioli 101 0.3× 251 1.0× 161 0.7× 53 0.3× 25 0.1× 78 1.3k
Charlotte Moss 46 0.1× 229 0.9× 410 1.7× 218 1.2× 42 0.2× 57 1.3k
Neal S. Parikh 278 0.8× 405 1.7× 84 0.4× 34 0.2× 41 0.2× 100 1.5k
H. Earl Ginn 97 0.3× 68 0.3× 144 0.6× 191 1.0× 115 0.7× 39 1.2k
Adem Küçük 111 0.3× 101 0.4× 88 0.4× 135 0.7× 60 0.3× 83 1.1k
Che‐Chen Lin 144 0.4× 50 0.2× 71 0.3× 54 0.3× 27 0.2× 52 1.0k

Countries citing papers authored by Giuseppe De Matteis

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe De Matteis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe De Matteis. A scholar is included among the top collaborators of Giuseppe De Matteis 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 Giuseppe De Matteis. Giuseppe De Matteis 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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2026