Elisabetta Milia
- Aging top 5%
- Immunology top 10%
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Galectins and Cancer Biology 2
-
- Signaling Pathways in Disease 2
- Glycosylation and Glycoproteins Research 1
- Small Animals top 10%
-
- CAR-T cell therapy research 2
-
- Cancer, Hypoxia, and Metabolism 2
-
- Helicobacter pylori-related gastroenterology studies 2
- Co-authors
- Pier Giuseppe PelicciCosima T. BaldariRino RappuoliM BugnoliCesare MontecuccoMarina de BernardEmanuele PapiniLuisa Lanfrancone
- Cited by
- AgingImmunologyMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Immunity (1 paper)Oncogene (2 papers)
- Partner nations
- ItalySwitzerlandFinland
In The Last Decade
Elisabetta Milia
13 papers receiving 887 citations
Peers
Comparison fields: 5 of 82
- Aging 63
- Immunology 394
- Molecular Biology 421
- Virology 28
- Small Animals 40
Countries citing papers authored by Elisabetta Milia
This map shows the geographic impact of Elisabetta Milia'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 Elisabetta Milia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabetta Milia more than expected).
Fields of papers citing papers by Elisabetta Milia
This network shows the impact of papers produced by Elisabetta Milia. 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 Elisabetta Milia. The network helps show where Elisabetta Milia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Elisabetta Milia, 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 | 2002 | 379 | |
| 2 | 2001 | 28 | |
| 3 | 1998 | 16 | |
| 4 | 1997 | 17 | |
| 5 | 1997 | 1 | |
| 6 | 1996 | 92 | |
| 7 | The aminoterminal phosphotyrosine binding domain of Shc associates with ZAP-70 and mediates TCR dependent gene activation. | 1996 | 38 |
| 8 | 1995 | 17 | |
| 9 | 1995 | 48 | |
| 10 | Inhibition of CD4/p56lck signaling by a dominant negative mutant of the Shc adaptor protein. | 1995 | 50 |
| 11 | Inhibition of CD4/p56lck signaling by a dominant negative mutant of Shc | 1995 | 1 |
| 12 | 1994 | 192 | |
| 13 | 1993 | 26 |
About Elisabetta Milia
Elisabetta Milia is a scholar working on Immunology, Virology and Immunology and Allergy, having authored 13 papers that have together received 905 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Signaling Pathways in Disease (2 papers), CAR-T cell therapy research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Galectins and Cancer Biology (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Aging (63 citations), Immunology (394 citations) and Molecular Biology (421 citations). Elisabetta Milia has collaborated with scholars based in Italy, Switzerland and Finland. Frequent co-authors include Pier Giuseppe Pelicci, Cosima T. Baldari, Rino Rappuoli, M Bugnoli, Cesare Montecucco, Marina de Bernard, Emanuele Papini, Luisa Lanfrancone, Marino Zerial and Sara Barozzi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Immunity and Oncogene.
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.