Michael Naso
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research
Papers in
-
- Glycosylation and Glycoproteins Research 8
- Oncology 9
- CAR-T cell therapy research 6
- Co-authors
- William R. Strohl (4 shared papers)Brian Tomkowicz (2 shared papers)William L. Perry (1 shared paper)Renato V. Iozzo (4 shared papers)D. Zimmermann (1 shared paper)T. Shantha Raju (2 shared papers)Bernard J. Scallon (2 shared papers)I. Cohen (1 shared paper)
- Journals
- Blood (4 papers)Protein Expression and Purification (2 papers)The Journal of Immunology (2 papers)Genomics (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesFinlandJapan
In The Last Decade
Michael Naso
28 papers receiving 1.8k citations
Michael Naso's Hit Papers
Peers
Comparison fields: 5 of 104
- Genetics 561
- Cell Biology 300
- Immunology and Allergy 97
- Molecular Biology 1.1k
- Immunology 307
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-authors
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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adeno-Associated Virus (AAV) as a Vector for Gene Therapy Hit paper breakdown → | 2017 | 997 |
| 2 | 1994 | 145 | |
| 3 | 2011 | 140 | |
| 4 | Abnormal expression of perlecan proteoglycan in metastatic melanomas. | 1994 | 109 |
| 5 | 2019 | 98 | |
| 6 | 2010 | 60 | |
| 7 | 1992 | 60 | |
| 8 | 2015 | 59 | |
| 9 | 1995 | 33 | |
| 10 | 2007 | 33 | |
| 11 | 2007 | 27 | |
| 12 | 2013 | 24 | |
| 13 | 2007 | 20 | |
| 14 | 2003 | 17 | |
| 15 | 2010 | 11 | |
| 16 | 2015 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2015 | 5 | |
| 19 | 2013 | 3 | |
| 20 | 2024 | 3 |
About Michael Naso
Michael Naso is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Cell Biology, having authored 28 papers that have together received 1.9k 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), Cell Adhesion Molecules Research (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Genetics (561 citations), Cell Biology (300 citations), Immunology and Allergy (97 citations), Molecular Biology (1.1k citations) and Immunology (307 citations). Michael Naso has collaborated with scholars based in United States, Finland and Japan. Frequent co-authors include William R. Strohl, Brian Tomkowicz, William L. Perry, Renato V. Iozzo, D. Zimmermann, T. Shantha Raju, Bernard J. Scallon, I. Cohen, David Berd and Alan D. Murdoch. Their work appears in journals such as Blood, Protein Expression and Purification, The Journal of Immunology, Genomics and Cancer Research.
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.