Mario A. Moscarello
- Molecular Biology top 2%
- Immunology top 5%
- Pathology and Forensic Medicine top 5%
- Cell Biology top 5%
- Cancer Research top 5%
- Co-authors
- D. D. WoodFabrizio G. MastronardiGeorge HarauzJoan M. BoggsSela CheifetzRichard M. EpandCameron AckerleyShashikant B. Joshi
- Topics
- Lipid Membrane Structure and Behavior (23 papers)Glycosylation and Glycoproteins Research (18 papers)RNA Interference and Gene Delivery (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Mario A. Moscarello
89 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 2.5k
- Immunology 639
- Pathology and Forensic Medicine 445
- Cell Biology 413
- Cancer Research 372
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 of co-authors of Mario A. Moscarello
This figure shows the co-authorship network connecting the top 25 collaborators of Mario A. Moscarello. A scholar is included among the top collaborators of Mario A. Moscarello based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario A. Moscarello. Mario A. Moscarello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 98 | |
| 2 | 92 | |
| 3 | 188 | |
| 4 | 211 | |
| 5 | 71 | |
| 6 | 39 | |
| 7 | 75 | |
| 8 | 48 | |
| 9 | 70 | |
| 10 | 58 | |
| 11 | 34 | |
| 12 | 101 | |
| 13 | 7 | |
| 14 | 88 | |
| 15 | 26 | |
| 16 | 4 | |
| 17 | 20 | |
| 18 | 11 | |
| 19 | 25 | |
| 20 | 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) and RNA Interference and Gene Delivery (11 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.