Mattia Mori
Impact in
- Virology top 5%
- Molecular Biology top 5%
- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
- 14-3-3 protein interactions
- Ubiquitin and proteasome pathways
- Enzyme function and inhibition
Papers in
- Virology 12
- HIV Research and Treatment 12
- Co-authors
- Bruno BottaMaurizio BottaFrancesca GhirgaPaola InfanteYlenia CauLucia Di MarcotullioDeborah QuaglioRomina Alfonsi
- Journals
- ACS Medicinal Chemistry Letters (10 papers)European Journal of Medicinal Chemistry (9 papers)Journal of Enzyme Inhibition and Medicinal Chemistry (8 papers)International Journal of Molecular Sciences (7 papers)Bioorganic & Medicinal Chemistry Letters (6 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Mattia Mori
144 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 129
- Virology 129
- Molecular Biology 1.7k
- Organic Chemistry 596
- Toxicology 65
- Pharmacology 279
Countries citing papers authored by Mattia Mori
This map shows the geographic impact of Mattia Mori'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 Mattia Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mattia Mori more than expected).
Fields of papers citing papers by Mattia Mori
This network shows the impact of papers produced by Mattia Mori. 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 Mattia Mori. The network helps show where Mattia Mori may publish in the future.
Co-authors
The 25 scholars most cited alongside Mattia Mori, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2020 | 24 | |
| 12 | 2020 | 32 | |
| 13 | 2020 | 12 | |
| 14 | 2020 | 25 | |
| 15 | 2019 | 43 | |
| 16 | 2019 | 9 | |
| 17 | 2018 | 13 | |
| 18 | 2017 | 12 | |
| 19 | Interferon lambda 2 promotes mammary tumor metastasis via angiogenesis extension and stimulation of cancer cell migration. | 2017 | 11 |
| 20 | 2017 | 24 |
About Mattia Mori
Mattia Mori is a scholar working on Virology, Toxicology, Molecular Biology, Organic Chemistry and Molecular Medicine, having authored 152 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (18 papers), Enzyme function and inhibition (13 papers), HIV Research and Treatment (12 papers), Epigenetics and DNA Methylation (12 papers), HIV/AIDS drug development and treatment (12 papers), 14-3-3 protein interactions (11 papers), Synthesis and Catalytic Reactions (10 papers) and Biochemical and Molecular Research (9 papers). The work is most often cited by research in Virology (129 citations), Molecular Biology (1.7k citations), Organic Chemistry (596 citations), Toxicology (65 citations) and Pharmacology (279 citations). Mattia Mori has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Bruno Botta, Maurizio Botta, Francesca Ghirga, Paola Infante, Ylenia Cau, Lucia Di Marcotullio, Deborah Quaglio, Romina Alfonsi, Fabrizio Manetti and Yves Mély. Their work appears in journals such as ACS Medicinal Chemistry Letters, European Journal of Medicinal Chemistry, Journal of Enzyme Inhibition and Medicinal Chemistry, International Journal of Molecular Sciences and Bioorganic & Medicinal Chemistry Letters.
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.