L Bersani
- Immunology top 5%
- Molecular Biology
- Oncology
- Immunology and Allergy top 5%
- Virology top 5%
- Co-authors
- Alberto MantovaniFrancesco ColottaPaola AllavenaAdriano LazzarinGuido PoliGiovanna D’AmicoSilvano SozzaniGiuseppe Bianchi
- Topics
- Peptidase Inhibition and Analysis (5 papers)Immunotherapy and Immune Responses (4 papers)Immune Response and Inflammation (3 papers)
- Partner nations
- Italy
In The Last Decade
L Bersani
17 papers receiving 819 citations
Peers
Comparison fields: 5 of 88
- Immunology 534
- Molecular Biology 169
- Oncology 125
- Immunology and Allergy 118
- Virology 103
Countries citing papers authored by L Bersani
This map shows the geographic impact of L Bersani'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 L Bersani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L Bersani more than expected).
Fields of papers citing papers by L Bersani
This network shows the impact of papers produced by L Bersani. 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 L Bersani. The network helps show where L Bersani may publish in the future.
Co-authorship network of co-authors of L Bersani
This figure shows the co-authorship network connecting the top 25 collaborators of L Bersani. A scholar is included among the top collaborators of L Bersani 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 L Bersani. L Bersani 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 | 112 | |
| 3 | 42 | |
| 4 | 13 | |
| 5 | Effects of cyclosporin A on psoriatic monocyte functions and secretion. | 2 |
| 6 | 458 | |
| 7 | 14 | |
| 8 | Involvement of tumour necrosis factor in monocyte-mediated rapid killing of actinomycin D-pretreated WEHI 164 sarcoma cells. | 36 |
| 9 | Rapid killing of actinomycin D-treated tumour cells by mononuclear phagocytes: reactivity in mouse strains with defective classical tumour cytotoxicity. | 4 |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 10 | |
| 13 | 28 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | Monocyte function in intravenous drug abusers with lymphadenopathy syndrome and in patients with acquired immunodeficiency syndrome: selective impairment of chemotaxis. | 117 |
| 17 | Mechanism of killing of actinomycin d treated wehi 164 tumor cells by human peripheral blood monocytes | 1 |
| 18 | Detection of human mononuclear cell subsets by complement fixing monoclonal antibodies: evaluation of manual procedures. | 6 |
About L Bersani
L Bersani is a scholar working on Microbiology, Immunology and Allergy and Immunology, having authored 18 papers that have together received 864 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (5 papers), Immunotherapy and Immune Responses (4 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Immunology (534 citations), Virology (103 citations) and Immunology and Allergy (118 citations). L Bersani has collaborated with scholars based in Italy. Frequent co-authors include Alberto Mantovani, Francesco Colotta, Paola Allavena, Adriano Lazzarin, Guido Poli, Giovanna D’Amico, Silvano Sozzani, Giuseppe Bianchi, Lorenzo Piemonti and Sergio Bernasconi. Their work appears in journals such as Blood, The Journal of Immunology and FEBS Letters.
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.