Fabio A. Facchini
Impact in
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- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Cell Function and Interaction
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- Antimicrobial Peptides and Activities
Papers in
- Immunology 14
- Immune Response and Inflammation 11
- Immunotherapy and Immune Responses 2
- Galectins and Cancer Biology 1
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- RNA Interference and Gene Delivery 2
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Francesco Peri (11 shared papers)Francesca Granucci (4 shared papers)Laura Marongiu (3 shared papers)Sonsoles Martín‐Santamaría (4 shared papers)Jean‐Marc Billod (3 shared papers)Roman Jerala (2 shared papers)Rudi Beyaert (2 shared papers)Grisha Pirianov (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (3 papers)Scientific Reports (1 paper)iScience (1 paper)ChemMedChem (1 paper)Innate Immunity (1 paper)
- Partner nations
- ItalySpainUnited Kingdom
In The Last Decade
Fabio A. Facchini
14 papers receiving 276 citations
Peers
Comparison fields: 5 of 81
- Immunology 130
- Microbiology 29
- Neurology 19
- Developmental Neuroscience 9
- Biological Psychiatry 4
Countries citing papers authored by Fabio A. Facchini
This map shows the geographic impact of Fabio A. Facchini'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 Fabio A. Facchini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio A. Facchini more than expected).
Fields of papers citing papers by Fabio A. Facchini
This network shows the impact of papers produced by Fabio A. Facchini. 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 Fabio A. Facchini. The network helps show where Fabio A. Facchini may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio A. Facchini, 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 | 2018 | 48 | |
| 2 | 2018 | 40 | |
| 3 | 2017 | 29 | |
| 4 | 2018 | 27 | |
| 5 | 2021 | 25 | |
| 6 | 2019 | 25 | |
| 7 | 2021 | 25 | |
| 8 | 2020 | 18 | |
| 9 | 2019 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2017 | 5 | |
| 14 | Toll-like Receptor 4 (TLR4) therapeutic modulation: a chemical biology approach | 2018 | 1 |
About Fabio A. Facchini
Fabio A. Facchini is a scholar working on Immunology, Molecular Biology, Microbiology, Epidemiology and Infectious Diseases, having authored 14 papers that have together received 277 indexed citations. Recurring topics across this work include Immune Response and Inflammation (11 papers), Antimicrobial Peptides and Activities (3 papers), Immunotherapy and Immune Responses (2 papers), RNA Interference and Gene Delivery (2 papers), Influenza Virus Research Studies (2 papers), Glycosylation and Glycoproteins Research (1 paper), Coffee research and impacts (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology (130 citations), Microbiology (29 citations), Neurology (19 citations), Developmental Neuroscience (9 citations) and Biological Psychiatry (4 citations). Fabio A. Facchini has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Francesco Peri, Francesca Granucci, Laura Marongiu, Sonsoles Martín‐Santamaría, Jean‐Marc Billod, Roman Jerala, Rudi Beyaert, Grisha Pirianov, Harald Braun and Flaviana Di Lorenzo. Their work appears in journals such as Journal of Medicinal Chemistry, Scientific Reports, iScience, ChemMedChem and Innate Immunity.
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.