Marco Fabbri
- Immunology top 2%
- Invertebrate Immune Response Mechanisms 5
- Immune cells in cancer 5
- Cancer Research top 5%
- MicroRNA in disease regulation 9
- Cell Biology top 2%
- Molecular Biology top 5%
- Molecular Biology Techniques and Applications 4
- RNA modifications and cancer 4
- Insect Science top 5%
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- Heavy Metal Exposure and Toxicity 9
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- Trace Elements in Health 5
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- Genetic and phenotypic traits in livestock 4
- Co-authors
- Alberto MantovaniMassimo LocatiAndrea CabibboRoberto SitiaNeil J. BulleidMassimiliano PaganiMassimiliano MiroloPaola Allavena
- Journals
- animal (4 papers)Biochemical and Biophysical Research Communications (4 papers)The Journal of Immunology (3 papers)
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Marco Fabbri
60 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 136
- Immunology 1.3k
- Cancer Research 582
- Cell Biology 535
- Molecular Biology 1.5k
- Insect Science 195
Countries citing papers authored by Marco Fabbri
This map shows the geographic impact of Marco Fabbri'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 Marco Fabbri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Fabbri more than expected).
Fields of papers citing papers by Marco Fabbri
This network shows the impact of papers produced by Marco Fabbri. 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 Marco Fabbri. The network helps show where Marco Fabbri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marco Fabbri, 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 | 2024 | 5 | |
| 3 | 2022 | 12 | |
| 4 | 2020 | 2 | |
| 5 | 2018 | 20 | |
| 6 | 2018 | 69 | |
| 7 | 2015 | 30 | |
| 8 | 2013 | 53 | |
| 9 | 2012 | 32 | |
| 10 | 2011 | 7 | |
| 11 | 2010 | 60 | |
| 12 | 2010 | 55 | |
| 13 | 2009 | 84 | |
| 14 | 2006 | 19 | |
| 15 | Mode of action of antimicrobial proteins, pore-forming toxins and biologically active peptides (Hypothesis) | 2005 | 6 |
| 16 | 2004 | 63 | |
| 17 | 2000 | 23 | |
| 18 | 2000 | 254 | |
| 19 | 2000 | 24 | |
| 20 | 2000 | 231 |
About Marco Fabbri
Marco Fabbri is a scholar working on Immunology, Health, Toxicology and Mutagenesis, Cancer Research, Equine and Nutrition and Dietetics, having authored 62 papers that have together received 3.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Heavy Metal Exposure and Toxicity (9 papers), Invertebrate Immune Response Mechanisms (5 papers), Trace Elements in Health (5 papers), Immune cells in cancer (5 papers), Genetic and phenotypic traits in livestock (4 papers), Molecular Biology Techniques and Applications (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Immunology (1.3k citations), Cancer Research (582 citations), Cell Biology (535 citations), Molecular Biology (1.5k citations) and Insect Science (195 citations). Marco Fabbri has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Alberto Mantovani, Massimo Locati, Andrea Cabibbo, Roberto Sitia, Neil J. Bulleid, Massimiliano Pagani, Massimiliano Mirolo, Paola Allavena, Laura Gribaldo and Marco A. Cassatella. Their work appears in journals such as animal, Biochemical and Biophysical Research Communications, The Journal of Immunology, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.
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.