Mario Contorni
- Immunology top 10%
- Epidemiology
- Molecular Biology
- Surgery
- Infectious Diseases top 10%
- Co-authors
- F. CavalièriMassimo TommasinoMaurizio MorandiRino RappuoliGiuseppe Del GiudiceGary Van NestPaula TraquinaSamuele Peppoloni
- Topics
- Virus-based gene therapy research (3 papers)Pneumonia and Respiratory Infections (3 papers)Molecular Biology Techniques and Applications (3 papers)
- Cited by
- MicrobiologyImmunologyEndocrinology
- Journals
- GastroenterologyBiochemical and Biophysical Research CommunicationsThe Journal of Infectious Diseases
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Mario Contorni
21 papers receiving 679 citations
Peers
Comparison fields: 5 of 74
- Immunology 291
- Epidemiology 239
- Molecular Biology 209
- Surgery 139
- Infectious Diseases 119
Countries citing papers authored by Mario Contorni
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 14 | |
| 3 | 3 | |
| 4 | 137 | |
| 5 | 27 | |
| 6 | 64 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 84 | |
| 10 | Physicochemical characterisation of the pertussis vaccine. | 2 |
| 11 | 77 | |
| 12 | 2 | |
| 13 | HPV16 E7 protein associates with the protein kinase p33CDK2 and cyclin A. | 107 |
| 14 | 23 | |
| 15 | Secretion of heterologous proteins in Streptococcus gordonii (Streptococcus sanguis) Challis. | 1 |
| 16 | 10 | |
| 17 | 96 | |
| 18 | 8 | |
| 19 | 26 | |
| 20 | 10 |
About Mario Contorni
Mario Contorni is a scholar working on Microbiology, Endocrinology and Immunology, having authored 21 papers that have together received 717 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Pneumonia and Respiratory Infections (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Microbiology (86 citations), Immunology (291 citations) and Endocrinology (42 citations). Mario Contorni has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include F. Cavalièri, Massimo Tommasino, Maurizio Morandi, Rino Rappuoli, Giuseppe Del Giudice, Gary Van Nest, Paula Traquina, Samuele Peppoloni, Vincent A. Fischetti and Gianni Pozzi. Their work appears in journals such as Gastroenterology, Biochemical and Biophysical Research Communications and The Journal of Infectious Diseases.
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.