Santo Landolfo
- Immunology top 0.5%
- Epidemiology top 1%
- Molecular Biology top 5%
- Oncology top 2%
- Infectious Diseases top 5%
- Co-authors
- Marisa GariglioGiorgio GribaudoMarco De AndreaDavid LemboValentina Dell’OsteMichele MondiniG CavalloMirella Giovarelli
- Topics
- Cytomegalovirus and herpesvirus research (56 papers)interferon and immune responses (54 papers)Immune Cell Function and Interaction (45 papers)
- Cited by
- ImmunologyEpidemiologyVirology
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Santo Landolfo
238 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 114
- Immunology 3.6k
- Epidemiology 2.3k
- Molecular Biology 2.3k
- Oncology 1.3k
- Infectious Diseases 499
Countries citing papers authored by Santo Landolfo
This map shows the geographic impact of Santo Landolfo'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 Santo Landolfo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Santo Landolfo more than expected).
Fields of papers citing papers by Santo Landolfo
This network shows the impact of papers produced by Santo Landolfo. 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 Santo Landolfo. The network helps show where Santo Landolfo may publish in the future.
Co-authorship network of co-authors of Santo Landolfo
This figure shows the co-authorship network connecting the top 25 collaborators of Santo Landolfo. A scholar is included among the top collaborators of Santo Landolfo 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 Santo Landolfo. Santo Landolfo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 23 | |
| 3 | 8 | |
| 4 | 20 | |
| 5 | 23 | |
| 6 | 21 | |
| 7 | Differential expression of HER2, STAT3, SOX2, IFI16 and cell cycle markers during HPV-related head and neck carcinogenesis. | 25 |
| 8 | 51 | |
| 9 | 5 | |
| 10 | 40 | |
| 11 | 8 | |
| 12 | 63 | |
| 13 | 9 | |
| 14 | 9 | |
| 15 | 68 | |
| 16 | 10 | |
| 17 | 7 | |
| 18 | 7 | |
| 19 | 19 | |
| 20 | Genetic control of Trichomonas vaginalis infection. I. Resistance or susceptibility among different mouse strains. | 3 |
About Santo Landolfo
Santo Landolfo is a scholar working on Immunology, Epidemiology and Oncology, having authored 239 papers that have together received 6.5k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (56 papers), interferon and immune responses (54 papers) and Immune Cell Function and Interaction (45 papers). The work is most often cited by research in Immunology (3.6k citations), Epidemiology (2.3k citations) and Virology (277 citations). Santo Landolfo has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Marisa Gariglio, Giorgio Gribaudo, Marco De Andrea, David Lembo, Valentina Dell’Oste, Michele Mondini, G Cavallo, Mirella Giovarelli, Anna Luganini and Francesca Gugliesi. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.