Francesca Gentili
- Immunology top 10%
- Molecular Biology
- Oncology
- Epidemiology
- Immunology and Allergy top 5%
- Co-authors
- Fabio FacchettiWilliam VermiAlberto MantovaniAnnunciata VecchiPierluigi SapelliElena BardelliniAlessandra MajoranaSilvano Sozzani
- Topics
- Cell Adhesion Molecules Research (3 papers)T-cell and B-cell Immunology (3 papers)Oral Health Pathology and Treatment (3 papers)
- Partner nations
- ItalyUnited States
In The Last Decade
Francesca Gentili
16 papers receiving 845 citations
Peers
Comparison fields: 5 of 77
- Immunology 358
- Molecular Biology 207
- Oncology 165
- Epidemiology 140
- Immunology and Allergy 104
Countries citing papers authored by Francesca Gentili
This map shows the geographic impact of Francesca Gentili'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 Francesca Gentili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Gentili more than expected).
Fields of papers citing papers by Francesca Gentili
This network shows the impact of papers produced by Francesca Gentili. 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 Francesca Gentili. The network helps show where Francesca Gentili may publish in the future.
Co-authorship network of co-authors of Francesca Gentili
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Gentili. A scholar is included among the top collaborators of Francesca Gentili 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 Francesca Gentili. Francesca Gentili is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 49 | |
| 3 | 51 | |
| 4 | 98 | |
| 5 | 63 | |
| 6 | 15 | |
| 7 | 17 | |
| 8 | 243 | |
| 9 | 90 | |
| 10 | 139 | |
| 11 | 38 | |
| 12 | 9 | |
| 13 | 38 | |
| 14 | Lymphocyte surface phenotypes in Down's syndrome. | 2 |
| 15 | "In vitro" and "in vivo" leukocyte migration inhibitory factor production in acute infectious mononucleosis patients. | 1 |
| 16 | Serum migration inhibitory activity and monoclonal antibody-defined T-cell phenotypes in patients with acute infectious mononucleosis. | 1 |
About Francesca Gentili
Francesca Gentili is a scholar working on Periodontics, Immunology and Allergy and Immunology, having authored 16 papers that have together received 855 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (3 papers), T-cell and B-cell Immunology (3 papers) and Oral Health Pathology and Treatment (3 papers). The work is most often cited by research in Periodontics (101 citations), Immunology and Allergy (104 citations) and Immunology (358 citations). Francesca Gentili has collaborated with scholars based in Italy and United States. Frequent co-authors include Fabio Facchetti, William Vermi, Alberto Mantovani, Annunciata Vecchi, Pierluigi Sapelli, Elena Bardellini, Alessandra Majorana, Silvano Sozzani, Amerigo Santoro and Marina Sironi. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.
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.