Stefano Fais
- Cancer Research top 0.05%
- Cancer, Hypoxia, and Metabolism 25
- MicroRNA in disease regulation 23
- Immunology top 0.5%
- Immune Cell Function and Interaction 24
- Molecular Biology top 0.2%
- Extracellular vesicles in disease 47
- ATP Synthase and ATPases Research 34
- Enzyme function and inhibition 19
- Virology top 1%
- HIV Research and Treatment 20
- Immunology and Allergy top 0.5%
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- Inflammatory Bowel Disease 17
- Co-authors
- Mariantonia LogozziAngelo De MilitoLuana LuginiLicia RivoltiniCristina FedericiFrancesco LozuponeElisabetta IessiVeronica Huber
- Journals
- Journal of Enzyme Inhibition and Medicinal Chemistry (11 papers)Cancers (10 papers)International Journal of Molecular Sciences (10 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Stefano Fais
216 papers receiving 17.0k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Cancer Research 6.4k
- Immunology 4.4k
- Molecular Biology 11.7k
- Virology 670
- Immunology and Allergy 662
Countries citing papers authored by Stefano Fais
This map shows the geographic impact of Stefano Fais'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 Stefano Fais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Fais more than expected).
Fields of papers citing papers by Stefano Fais
This network shows the impact of papers produced by Stefano Fais. 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 Stefano Fais. The network helps show where Stefano Fais may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefano Fais, 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 | 5 | |
| 2 | 2023 | 13 | |
| 3 | 2023 | 32 | |
| 4 | 2023 | 35 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 48 | |
| 8 | 2021 | 25 | |
| 9 | 2021 | 49 | |
| 10 | 2021 | 68 | |
| 11 | 2020 | 80 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 58 | |
| 14 | 2019 | 84 | |
| 15 | 2016 | 145 | |
| 16 | Modulation of Microenvironment Acidity Reverses Anergy in Human and Murine Tumor-Infiltrating T Lymphocytesbreakdown → | 2012 | 490 |
| 17 | 2007 | 242 | |
| 18 | 2006 | 222 | |
| 19 | 1994 | 50 | |
| 20 | 1992 | 11 |
About Stefano Fais
Stefano Fais is a scholar working on Virology, Cancer Research, Immunology, Immunology and Allergy and Molecular Biology, having authored 217 papers that have together received 17.3k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (47 papers), ATP Synthase and ATPases Research (34 papers), Cancer, Hypoxia, and Metabolism (25 papers), Immune Cell Function and Interaction (24 papers), MicroRNA in disease regulation (23 papers), HIV Research and Treatment (20 papers), Enzyme function and inhibition (19 papers) and Inflammatory Bowel Disease (17 papers). The work is most often cited by research in Cancer Research (6.4k citations), Immunology (4.4k citations), Molecular Biology (11.7k citations), Virology (670 citations) and Immunology and Allergy (662 citations). Stefano Fais has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Mariantonia Logozzi, Angelo De Milito, Luana Lugini, Licia Rivoltini, Cristina Federici, Francesco Lozupone, Elisabetta Iessi, Veronica Huber, Giorgio Parmiani and Enrico P. Spugnini. Their work appears in journals such as Journal of Enzyme Inhibition and Medicinal Chemistry, Cancers, International Journal of Molecular Sciences, Cancer Letters and Cancer Research.
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.