Mauro Piacentini
- Cell Biology top 0.1%
- Endoplasmic Reticulum Stress and Disease 47
- Immunology top 0.5%
- Phagocytosis and Immune Regulation 14
- Physiology top 0.2%
- Erythrocyte Function and Pathophysiology 39
- Epidemiology top 0.2%
- Autophagy in Disease and Therapy 64
- Virology top 1%
- HIV Research and Treatment 30
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- Blood properties and coagulation 67
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- Cell death mechanisms and regulation 26
- Retinoids in leukemia and cellular processes 17
- Co-authors
- Gian María FimiaLászló FésüsMarco CorazzariGerry MelinoFabiola CiccosantiGuido KroemerRoberta NardacciFrancesco Cecconi
- Cited by
- Cell BiologyImmunologyPhysiology
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Mauro Piacentini
283 papers receiving 19.8k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cell Biology 3.4k
- Immunology 4.2k
- Physiology 842
- Epidemiology 6.0k
- Virology 726
Countries citing papers authored by Mauro Piacentini
This map shows the geographic impact of Mauro Piacentini'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 Mauro Piacentini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Piacentini more than expected).
Fields of papers citing papers by Mauro Piacentini
This network shows the impact of papers produced by Mauro Piacentini. 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 Mauro Piacentini. The network helps show where Mauro Piacentini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mauro Piacentini, 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 | 4 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 6 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 32 | |
| 10 | 2021 | 19 | |
| 11 | 2021 | 85 | |
| 12 | 2021 | 55 | |
| 13 | 2020 | 32 | |
| 14 | 2020 | 13 | |
| 15 | 2019 | 14 | |
| 16 | 2018 | 47 | |
| 17 | 2011 | 56 | |
| 18 | 2009 | 12 | |
| 19 | Immunogenic chemotherapy: discovery of a critical protein through proteomic analyses of tumor cells. | 2007 | 22 |
| 20 | A gas chromatographic method for the determination of di- and polyamines in human urine. | 1978 | 2 |
About Mauro Piacentini
Mauro Piacentini is a scholar working on Virology, Cell Biology and Epidemiology, having authored 287 papers that have together received 20.1k indexed citations. Recurring topics across this work include Blood properties and coagulation (67 papers), Autophagy in Disease and Therapy (64 papers), Endoplasmic Reticulum Stress and Disease (47 papers), Erythrocyte Function and Pathophysiology (39 papers), HIV Research and Treatment (30 papers), Cell death mechanisms and regulation (26 papers), Retinoids in leukemia and cellular processes (17 papers) and Phagocytosis and Immune Regulation (14 papers). The work is most often cited by research in Cell Biology (3.4k citations), Immunology (4.2k citations) and Physiology (842 citations). Mauro Piacentini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Gian María Fimia, László Fésüs, Marco Corazzari, Gerry Melino, Fabiola Ciccosanti, Guido Kroemer, Roberta Nardacci, Francesco Cecconi, Peter J. Davies and Manuela Antonioli. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.