Daniela Milani

77 papers receiving 2.3k citations

Peers

Daniela Milani
Comparison fields: 5 of 134
  • Virology 426
  • Physiology 130
  • Immunology 557
  • Cancer Research 298
  • Molecular Biology 1.2k
Replace Vincenzo Calvanese with:
Vincenzo Calvanese Spain
Frank Rutsch Germany
Laurent Gros France
Magnhild Rasmussen Norway
Leonie A. Boven Netherlands
Mondira Kundu United States
Virginie Tardif United States
Marianne G. Rots Netherlands
Ichiro Aoki Japan
Jinping An United States
Daniela Milani relative to Vincenzo Calvanese Spain Vincenzo Calvanese's profile →
Citations per field
00.5×1.5×2.1×
Vincenzo Calvanese · 1×
Citations per year

Countries citing papers authored by Daniela Milani

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniela Milani Line = papers co-authored together Daniela Milani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003269
2 2002141
3 2004123
4
Human immunodeficiency virus type 1 Tat protein protects lymphoid, epithelial, and neuronal cell lines from death by apoptosis.
1993118
5 200279
6 200477
7 202076
8 200073
9 200371
10 201970
11 199464
12 199664
13
Nuclear translocation of phosphatidylinositol 3-kinase in rat pheochromocytoma PC 12 cells after treatment with nerve growth factor.
199462
14 200857
15 199856
16 201850
17 199250
18 199549
19 200742
20 199941

About Daniela Milani

Daniela Milani is a scholar working on Virology, Industrial relations, Religious studies, Immunology and Molecular Biology, having authored 83 papers that have together received 2.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), RNA Interference and Gene Delivery (10 papers), Cell death mechanisms and regulation (9 papers), Theology and Canon Law Studies (8 papers), Legal and Labor Studies (8 papers), NF-κB Signaling Pathways (5 papers), Adenosine and Purinergic Signaling (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Virology (426 citations), Physiology (130 citations), Immunology (557 citations), Cancer Research (298 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, Prisco Mirandola, Luca Maria Neri, Davide Gibellini, M. La Plaça, Erika Rimondi and Meri Mazzoni. Their work appears in journals such as International Journal of Molecular Sciences, British Journal of Haematology, AIDS, Oncotarget 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.

Explore authors with similar magnitude of impact