Luca Nanni
Impact in
- Dermatology top 10%
- Dermatological and COVID-19 studies
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Genomics and Phylogenetic Studies 6
- Gene expression and cancer classification 6
- Genomics and Chromatin Dynamics 5
- Bioinformatics and Genomic Networks 3
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- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Co-authors
- Stefano Ceri (9 shared papers)Colin Logie (2 shared papers)Pietro Pinoli (7 shared papers)Micaela Tiso (2 shared papers)R Millo (2 shared papers)G. De Sandre (2 shared papers)Claudio Lunardi (2 shared papers)L. Borgato (1 shared paper)
- Journals
- European Journal of Immunology (3 papers)Bioinformatics (2 papers)Scientific Reports (1 paper)Human Vaccines & Immunotherapeutics (1 paper)Nature Communications (1 paper)
- Partner nations
- ItalySwitzerlandNetherlands
In The Last Decade
Luca Nanni
24 papers receiving 508 citations
Peers
Comparison fields: 5 of 93
- Dermatology 74
- Immunology 170
- Infectious Diseases 89
- Hematology 38
- Cancer Research 46
Countries citing papers authored by Luca Nanni
This map shows the geographic impact of Luca Nanni'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 Luca Nanni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Nanni more than expected).
Fields of papers citing papers by Luca Nanni
This network shows the impact of papers produced by Luca Nanni. 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 Luca Nanni. The network helps show where Luca Nanni may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Nanni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 100 | |
| 2 | 1994 | 84 | |
| 3 | 2021 | 52 | |
| 4 | 1996 | 47 | |
| 5 | 2020 | 43 | |
| 6 | 2018 | 35 | |
| 7 | 2023 | 32 | |
| 8 | 2019 | 28 | |
| 9 | 2020 | 20 | |
| 10 | 1998 | 16 | |
| 11 | 2018 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2021 | 11 | |
| 14 | 2000 | 10 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 1997 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2009 | 1 | |
| 20 | 2023 | 1 |
About Luca Nanni
Luca Nanni is a scholar working on Molecular Biology, Immunology, Cancer Research, Rheumatology and Hematology, having authored 24 papers that have together received 524 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Gene expression and cancer classification (6 papers), Genomics and Chromatin Dynamics (5 papers), Cancer Genomics and Diagnostics (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Bioinformatics and Genomic Networks (3 papers) and Systemic Sclerosis and Related Diseases (2 papers). The work is most often cited by research in Dermatology (74 citations), Immunology (170 citations), Infectious Diseases (89 citations), Hematology (38 citations) and Cancer Research (46 citations). Luca Nanni has collaborated with scholars based in Italy, Switzerland and Netherlands. Frequent co-authors include Stefano Ceri, Colin Logie, Pietro Pinoli, Micaela Tiso, R Millo, G. De Sandre, Claudio Lunardi, L. Borgato, Alessandro Moretta and Luigia Morelli. Their work appears in journals such as European Journal of Immunology, Bioinformatics, Scientific Reports, Human Vaccines & Immunotherapeutics and Nature Communications.
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.