Mario Passalacqua
- Physiology top 1%
- Erythrocyte Function and Pathophysiology 12
- Calcium signaling and nucleotide metabolism 8
- Alzheimer's disease research and treatments 7
- Clinical Biochemistry top 1%
- Advanced Glycation End Products research 9
- Neurology top 5%
- Aging top 5%
- Geriatrics and Gerontology top 2%
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- Protein Kinase Regulation and GTPase Signaling 19
- Metabolism, Diabetes, and Cancer 7
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- Cellular transport and secretion 11
- Calpain Protease Function and Regulation 9
- Co-authors
- S. PontremoliEdon MelloniBianca SparatoreMauro PatroneMarco PedrazziE. MelloniF. SalaminoMonica Averna
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ItalyUnited StatesSweden
In The Last Decade
Mario Passalacqua
120 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 125
- Physiology 281
- Clinical Biochemistry 348
- Neurology 284
- Aging 58
- Geriatrics and Gerontology 126
Countries citing papers authored by Mario Passalacqua
This map shows the geographic impact of Mario Passalacqua'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 Mario Passalacqua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Passalacqua more than expected).
Fields of papers citing papers by Mario Passalacqua
This network shows the impact of papers produced by Mario Passalacqua. 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 Mario Passalacqua. The network helps show where Mario Passalacqua may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario Passalacqua, 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 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 16 | |
| 8 | 2017 | 83 | |
| 9 | 2015 | 46 | |
| 10 | 2013 | 23 | |
| 11 | 2011 | 27 | |
| 12 | 2010 | 32 | |
| 13 | 2010 | 36 | |
| 14 | 2007 | 15 | |
| 15 | 2007 | 115 | |
| 16 | 2001 | 22 | |
| 17 | 2000 | 13 | |
| 18 | 1999 | 11 | |
| 19 | 1991 | 5 | |
| 20 | 1990 | 9 |
About Mario Passalacqua
Mario Passalacqua is a scholar working on Physiology, Cell Biology and Clinical Biochemistry, having authored 124 papers that have together received 3.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (19 papers), Erythrocyte Function and Pathophysiology (12 papers), Cellular transport and secretion (11 papers), Calpain Protease Function and Regulation (9 papers), Advanced Glycation End Products research (9 papers), Calcium signaling and nucleotide metabolism (8 papers), Metabolism, Diabetes, and Cancer (7 papers) and Alzheimer's disease research and treatments (7 papers). The work is most often cited by research in Physiology (281 citations), Clinical Biochemistry (348 citations) and Neurology (284 citations). Mario Passalacqua has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include S. Pontremoli, Edon Melloni, Bianca Sparatore, Mauro Patrone, Marco Pedrazzi, E. Melloni, F. Salamino, Monica Averna, Roberta De Tullio and Chiara Cervetto. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.