Daniela Milani
- Virology top 2%
- HIV Research and Treatment 11
- Physiology top 2%
- Immunology top 5%
- interferon and immune responses 3
- Cancer Research top 10%
- NF-κB Signaling Pathways 6
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 11
- Cell death mechanisms and regulation 9
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- Legal and Labor Studies 8
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- Theology and Canon Law Studies 8
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- Virus-based gene therapy research 4
- Co-authors
- Giorgio ZauliSilvano CapitaniPaola SecchieroArianna GonelliDavide GibelliniPrisco MirandolaLuca M. NeriM. La Plaça
- Cited by
- VirologyPhysiologyImmunology
- Journals
- British Journal of Haematology (3 papers)AIDS (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Daniela Milani
74 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 131
- Virology 429
- Physiology 126
- Immunology 581
- Cancer Research 294
- Molecular Biology 1.2k
Countries citing papers authored by Daniela Milani
This map shows the geographic impact of Daniela Milani'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 Daniela Milani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Milani more than expected).
Fields of papers citing papers by Daniela Milani
This network shows the impact of papers produced by Daniela Milani. 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 Daniela Milani. The network helps show where Daniela Milani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Milani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2023 | 8 | |
| 3 | 2021 | 5 | |
| 4 | 2021 | 28 | |
| 5 | 2020 | 32 | |
| 6 | 2019 | 19 | |
| 7 | 2019 | 23 | |
| 8 | 2017 | 5 | |
| 9 | Codigos alimentarios y libertad religiosa : la experiencia italiana | 2017 | 0 |
| 10 | 2017 | 6 | |
| 11 | 2012 | 1 | |
| 12 | 2004 | 1 | |
| 13 | 2004 | 122 | |
| 14 | 2001 | 0 | |
| 15 | 2001 | 4 | |
| 16 | 2001 | 2 | |
| 17 | 2001 | 2 | |
| 18 | 2001 | 1 | |
| 19 | 2001 | 1 | |
| 20 | Human immunodeficiency virus type 1 (HIV-1) tat-protein stimulates the production of interleukin-6 (IL-6) by peripheral blood monocytes. | 1993 | 24 |
About Daniela Milani
Daniela Milani is a scholar working on Industrial relations, Virology, Religious studies, Immunology and Physiology, having authored 80 papers that have together received 2.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (11 papers), HIV Research and Treatment (11 papers), Cell death mechanisms and regulation (9 papers), Legal and Labor Studies (8 papers), Theology and Canon Law Studies (8 papers), NF-κB Signaling Pathways (6 papers), Virus-based gene therapy research (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Virology (429 citations), Physiology (126 citations), Immunology (581 citations), Cancer Research (294 citations) and Molecular Biology (1.2k citations). Daniela Milani has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giorgio Zauli, Silvano Capitani, Paola Secchiero, Arianna Gonelli, Davide Gibellini, Prisco Mirandola, Luca M. Neri, M. La Plaça, Erika Rimondi and Meri Mazzoni. Their work appears in journals such as British Journal of Haematology, AIDS, International Journal of Molecular Sciences, Neoplasia and Journal of Cellular Physiology.
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.