Massimo Alessio
Impact in
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Alzheimer's disease research and treatments
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Cell Adhesion Molecules Research 11
- Hematology 12
- Iron Metabolism and Disorders 6
- Co-authors
- Antonio ContiPaolo AreseFabio MalavasiEvelin SchwarzerLucia De MonteCarlo Vittorio CannistraciAda FunaroS. Roggero
- Journals
- The Journal of Immunology (4 papers)Journal of Proteome Research (4 papers)International Journal of Molecular Sciences (3 papers)Journal of Proteomics (3 papers)PROTEOMICS (3 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Massimo Alessio
79 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 133
- Physiology 279
- Neurology 265
- Immunology 651
- Hematology 254
- Genetics 218
Countries citing papers authored by Massimo Alessio
This map shows the geographic impact of Massimo Alessio'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 Massimo Alessio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Alessio more than expected).
Fields of papers citing papers by Massimo Alessio
This network shows the impact of papers produced by Massimo Alessio. 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 Massimo Alessio. The network helps show where Massimo Alessio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Alessio, 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 | 2023 | 8 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 18 | |
| 6 | 2021 | 16 | |
| 7 | 2018 | 33 | |
| 8 | 2016 | 2 | |
| 9 | 2015 | 21 | |
| 10 | 2013 | 29 | |
| 11 | 2013 | 9 | |
| 12 | 2013 | 56 | |
| 13 | 2012 | 177 | |
| 14 | 2012 | 16 | |
| 15 | 2011 | 16 | |
| 16 | 2008 | 21 | |
| 17 | 2005 | 31 | |
| 18 | 2005 | 12 | |
| 19 | 2001 | 16 | |
| 20 | 1992 | 106 |
About Massimo Alessio
Massimo Alessio is a scholar working on Immunology and Allergy, Hematology, Immunology, Neurology and Biophysics, having authored 82 papers that have together received 2.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (16 papers), Cell Adhesion Molecules Research (11 papers), Trace Elements in Health (9 papers), Glycosylation and Glycoproteins Research (9 papers), Complement system in diseases (7 papers), Alzheimer's disease research and treatments (7 papers), Iron Metabolism and Disorders (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). The work is most often cited by research in Physiology (279 citations), Neurology (265 citations), Immunology (651 citations), Hematology (254 citations) and Genetics (218 citations). Massimo Alessio has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Antonio Conti, Paolo Arese, Fabio Malavasi, Evelin Schwarzer, Lucia De Monte, Carlo Vittorio Cannistraci, Ada Funaro, S. Roggero, Sandro Iannaccone and Angela Bachi. Their work appears in journals such as The Journal of Immunology, Journal of Proteome Research, International Journal of Molecular Sciences, Journal of Proteomics and PROTEOMICS.
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.