Mario A. Moscarello
- Developmental Neuroscience top 1%
- Immunology and Allergy top 2%
- Molecular Biology top 2%
- Lipid Membrane Structure and Behavior 23
- Glycosylation and Glycoproteins Research 18
- RNA Interference and Gene Delivery 11
- RNA Research and Splicing 9
- Protein Structure and Dynamics 7
- Signaling Pathways in Disease 7
- Immunology top 5%
- Cell Biology top 5%
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- Biochemical effects in animals 11
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- D. D. WoodFabrizio G. MastronardiGeorge HarauzJoan M. BoggsSela CheifetzRichard M. EpandCameron AckerleyShashikant B. Joshi
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (5 papers)Journal of Neuroscience (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Mario A. Moscarello
89 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 118
- Developmental Neuroscience 330
- Immunology and Allergy 297
- Molecular Biology 2.5k
- Immunology 639
- Cell Biology 413
Countries citing papers authored by Mario A. Moscarello
This map shows the geographic impact of Mario A. Moscarello'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 A. Moscarello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario A. Moscarello more than expected).
Fields of papers citing papers by Mario A. Moscarello
This network shows the impact of papers produced by Mario A. Moscarello. 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 A. Moscarello. The network helps show where Mario A. Moscarello may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario A. Moscarello, 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 | 2008 | 98 | |
| 2 | 2008 | 92 | |
| 3 | 2006 | 188 | |
| 4 | 2006 | 211 | |
| 5 | 2004 | 71 | |
| 6 | 2001 | 39 | |
| 7 | 2001 | 75 | |
| 8 | 2001 | 48 | |
| 9 | 2000 | 70 | |
| 10 | 2000 | 58 | |
| 11 | 1999 | 34 | |
| 12 | 1995 | 101 | |
| 13 | 1994 | 7 | |
| 14 | 1993 | 88 | |
| 15 | 1993 | 26 | |
| 16 | 1993 | 4 | |
| 17 | 1992 | 20 | |
| 18 | 1991 | 11 | |
| 19 | 1986 | 25 | |
| 20 | 1977 | 18 |
About Mario A. Moscarello
Mario A. Moscarello is a scholar working on Immunology and Allergy, Molecular Biology and Developmental Neuroscience, having authored 90 papers that have together received 3.8k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (23 papers), Glycosylation and Glycoproteins Research (18 papers), RNA Interference and Gene Delivery (11 papers), Biochemical effects in animals (11 papers), RNA Research and Splicing (9 papers), Protein Structure and Dynamics (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Signaling Pathways in Disease (7 papers). The work is most often cited by research in Developmental Neuroscience (330 citations), Immunology and Allergy (297 citations) and Molecular Biology (2.5k citations). Mario A. Moscarello has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include D. D. Wood, Fabrizio G. Mastronardi, George Harauz, Joan M. Boggs, Sela Cheifetz, Richard M. Epand, Cameron Ackerley, Shashikant B. Joshi, Laura B. Pritzker and Tony F. Cruz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.