Mario Contorni

27 total papers · 1.7k total citations
21 papers, 714 citations indexed

About

Mario Contorni is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Mario Contorni has authored 21 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Epidemiology and 6 papers in Immunology. Recurrent topics in Mario Contorni's work include Hepatitis B Virus Studies (3 papers), Bacterial Infections and Vaccines (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Mario Contorni is often cited by papers focused on Hepatitis B Virus Studies (3 papers), Bacterial Infections and Vaccines (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Mario Contorni collaborates with scholars based in Italy, United States and United Kingdom. Mario Contorni's co-authors include Massimo Tommasino, F. Cavalièri, Maurizio Morandi, Rino Rappuoli, Giuseppe Del Giudice, Paula Traquina, Gary Van Nest, Samuele Peppoloni, Gianni Pozzi and Paolo Ruggiero and has published in prestigious journals such as Gastroenterology, Biochemical and Biophysical Research Communications and The Journal of Infectious Diseases.

In The Last Decade

Mario Contorni

21 papers receiving 676 citations

Author Peers

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

Author						Papers	Cites
Mario Contorni	292	238	209	138	120	21	714
Maurice M. Exner	198 0.7×	205 0.9×	115 0.6×	114 0.8×	175 1.5×	19	743
Nobuko Wakamatsu	240 0.8×	236 1.0×	200 1.0×	61 0.4×	111 0.9×	47	810
Gianfranco Volpini	440 1.5×	214 0.9×	140 0.7×	80 0.6×	134 1.1×	16	747
Eva-Liz Johansson	461 1.6×	243 1.0×	145 0.7×	71 0.5×	124 1.0×	9	818
Nicolas Sabarth	299 1.0×	239 1.0×	208 1.0×	200 1.4×	111 0.9×	20	733
Miroslav Novák	318 1.1×	308 1.3×	162 0.8×	62 0.4×	141 1.2×	31	778
C Lue	484 1.7×	223 0.9×	114 0.5×	60 0.4×	107 0.9×	20	891
Willemien C. van Dijk	209 0.7×	324 1.4×	131 0.6×	67 0.5×	152 1.3×	28	811
Toshiya Koga	476 1.6×	145 0.6×	150 0.7×	67 0.5×	121 1.0×	18	824
Laurence M. Vaughan	187 0.6×	293 1.2×	192 0.9×	104 0.8×	27 0.2×	28	666

Countries citing papers authored by Mario Contorni

Since Specialization

Citations

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

Fields of papers citing papers by Mario Contorni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Contorni

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