Michael Naso
- Genetics top 5%
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research 4
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 8
- Protein purification and stability 3
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 3
- Immunology top 10%
- Psoriasis: Treatment and Pathogenesis 4
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- Monoclonal and Polyclonal Antibodies Research 7
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- CAR-T cell therapy research 6
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- Dermatology and Skin Diseases 3
- Co-authors
- William R. StrohlBrian TomkowiczWilliam L. PerryRenato V. IozzoD. ZimmermannDavid BerdI. CohenAlan D. Murdoch
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Michael Naso
27 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Genetics 556
- Cell Biology 285
- Molecular Biology 1.1k
- Immunology and Allergy 95
- Immunology 313
Countries citing papers authored by Michael Naso
This map shows the geographic impact of Michael Naso'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 Michael Naso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Naso more than expected).
Fields of papers citing papers by Michael Naso
This network shows the impact of papers produced by Michael Naso. 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 Michael Naso. The network helps show where Michael Naso may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Naso, 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 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | Adeno-Associated Virus (AAV) as a Vector for Gene Therapybreakdown → | 2017 | 942 |
| 5 | 2015 | 7 | |
| 6 | 2015 | 5 | |
| 7 | 2015 | 57 | |
| 8 | 2013 | 24 | |
| 9 | 2013 | 3 | |
| 10 | 2013 | 2 | |
| 11 | 2011 | 2 | |
| 12 | 2010 | 57 | |
| 13 | 2010 | 11 | |
| 14 | 2007 | 19 | |
| 15 | 2007 | 33 | |
| 16 | 2007 | 22 | |
| 17 | 2003 | 16 | |
| 18 | 1995 | 29 | |
| 19 | Abnormal expression of perlecan proteoglycan in metastatic melanomas. | 1994 | 107 |
| 20 | 1992 | 50 |
About Michael Naso
Michael Naso is a scholar working on Immunology and Allergy, Cell Biology, Dermatology, Immunology and Oncology, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), CAR-T cell therapy research (6 papers), Psoriasis: Treatment and Pathogenesis (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Dermatology and Skin Diseases (3 papers), Protein purification and stability (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Genetics (556 citations), Cell Biology (285 citations), Molecular Biology (1.1k citations), Immunology and Allergy (95 citations) and Immunology (313 citations). Michael Naso has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include William R. Strohl, Brian Tomkowicz, William L. Perry, Renato V. Iozzo, D. Zimmermann, David Berd, I. Cohen, Alan D. Murdoch, Dario Marchetti and T. Shantha Raju. Their work appears in journals such as Blood, Genomics, Journal of Investigative Dermatology, BMC Biotechnology and The Journal of Immunology.
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.