Eva Reali
- Immunology top 5%
- Psoriasis: Treatment and Pathogenesis 16
- T-cell and B-cell Immunology 14
- Immunotherapy and Immune Responses 12
- Immune Cell Function and Interaction 11
- Dermatology top 2%
- Dermatology and Skin Diseases 8
- Virology top 10%
- Rheumatology top 10%
-
- Peptidase Inhibition and Analysis 4
-
- Monoclonal and Polyclonal Antibodies Research 6
-
- MicroRNA in disease regulation 3
- Co-authors
- Marco DianiG. F. AltomarePaola SecchieroFabio CascianoGiuseppe BanfiSerena TranielloJeffrey SchlomAndrea Altomare
- Cited by
- ImmunologyDermatologyVirology
- Journals
- Frontiers in Immunology (3 papers)International Journal of Molecular Sciences (3 papers)Scientific Reports (2 papers)
- Partner nations
- ItalyUnited StatesSweden
In The Last Decade
Eva Reali
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 91
- Immunology 837
- Dermatology 209
- Virology 43
- Rheumatology 137
- Oncology 212
Countries citing papers authored by Eva Reali
This map shows the geographic impact of Eva Reali'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 Eva Reali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Reali more than expected).
Fields of papers citing papers by Eva Reali
This network shows the impact of papers produced by Eva Reali. 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 Eva Reali. The network helps show where Eva Reali may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eva Reali, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 7 | |
| 4 | 2021 | 18 | |
| 5 | 2020 | 18 | |
| 6 | 2020 | 41 | |
| 7 | 2020 | 30 | |
| 8 | 2019 | 54 | |
| 9 | 2012 | 8 | |
| 10 | 2011 | 35 | |
| 11 | 2009 | 19 | |
| 12 | 2008 | 12 | |
| 13 | 1997 | 2 | |
| 14 | 1995 | 12 | |
| 15 | 1994 | 17 | |
| 16 | 1994 | 15 | |
| 17 | GM-CSF augments the IL-4-induced cytotoxic activity of human mononuclear cells in the presence of the mouse monoclonal antibody 17-1A | 1993 | 1 |
| 18 | 1993 | 18 | |
| 19 | 1993 | 15 | |
| 20 | 1987 | 77 |
About Eva Reali
Eva Reali is a scholar working on Immunology, Dermatology and Oncology, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (16 papers), T-cell and B-cell Immunology (14 papers), Immunotherapy and Immune Responses (12 papers), Immune Cell Function and Interaction (11 papers), Dermatology and Skin Diseases (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Peptidase Inhibition and Analysis (4 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Immunology (837 citations), Dermatology (209 citations) and Virology (43 citations). Eva Reali has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Marco Diani, G. F. Altomare, Paola Secchiero, Fabio Casciano, Giuseppe Banfi, Serena Traniello, Jeffrey Schlom, Andrea Altomare, John W. Greiner and Susanna Spisani. Their work appears in journals such as Frontiers in Immunology, International Journal of Molecular Sciences, Scientific Reports, Vaccine and Clinical Immunology.
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.