M. Scudeletti
- Co-authors
- Francesco IndiveriFrancesco PuppoGilberto FilaciSoldano FerroneLorella LanzaSabrina BrenciMaria Adele ImroPaola Contini
- Topics
- T-cell and B-cell Immunology (33 papers)Immune Cell Function and Interaction (31 papers)Immunotherapy and Immune Responses (18 papers)
- Cited by
- ImmunologyTransplantationDermatology
- Journals
- The Journal of ImmunologyAnnals of the New York Academy of SciencesEuropean Journal of Immunology
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
M. Scudeletti
63 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Immunology 647
- Oncology 136
- Molecular Biology 121
- Pathology and Forensic Medicine 118
- Epidemiology 116
Countries citing papers authored by M. Scudeletti
This map shows the geographic impact of M. Scudeletti'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 M. Scudeletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Scudeletti more than expected).
Fields of papers citing papers by M. Scudeletti
This network shows the impact of papers produced by M. Scudeletti. 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 M. Scudeletti. The network helps show where M. Scudeletti may publish in the future.
Co-authorship network of co-authors of M. Scudeletti
This figure shows the co-authorship network connecting the top 25 collaborators of M. Scudeletti. A scholar is included among the top collaborators of M. Scudeletti 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 M. Scudeletti. M. Scudeletti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 15 | |
| 3 | 10 | |
| 4 | 37 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | [The immunological activity of corticosteroids]. | 9 |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 26 | |
| 14 | 15 | |
| 15 | 40 | |
| 16 | 128 | |
| 17 | 14 | |
| 18 | 8 | |
| 19 | 16 | |
| 20 | Comparison of the immunomodulation of prednisone, dexamethasone and deflazacort on T-cell activation pathways and gamma interferon production. | 5 |
About M. Scudeletti
M. Scudeletti is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Rheumatology, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (33 papers), Immune Cell Function and Interaction (31 papers) and Immunotherapy and Immune Responses (18 papers). The work is most often cited by research in Immunology (647 citations), Transplantation (29 citations) and Dermatology (83 citations). M. Scudeletti has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Francesco Indiveri, Francesco Puppo, Gilberto Filaci, Soldano Ferrone, Lorella Lanza, Francesco Puppo, Sabrina Brenci, Maria Adele Imro, Paola Contini and Ornella Bosco. Their work appears in journals such as The Journal of Immunology, Annals of the New York Academy of Sciences and European Journal of Immunology.
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.