Nazzareno Dimasi
- Immunology top 2%
- Immune Cell Function and Interaction 21
- T-cell and B-cell Immunology 16
- Immunotherapy and Immune Responses 7
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- Monoclonal and Polyclonal Antibodies Research 30
- Oncology top 5%
- HER2/EGFR in Cancer Research 17
- CAR-T cell therapy research 6
- Molecular Medicine top 5%
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 11
- Protein purification and stability 7
- Co-authors
- Roy A. MariuzzaChangshou GaoKannan NatarajanDavid H. MarguliesRyan FlemingHerren WuJian WangRoberto Biassoni
- Partner nations
- United StatesItalyGermany
In The Last Decade
Nazzareno Dimasi
60 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 111
- Immunology 989
- Radiology, Nuclear Medicine and Imaging 933
- Oncology 799
- Molecular Medicine 82
- Molecular Biology 910
Countries citing papers authored by Nazzareno Dimasi
This map shows the geographic impact of Nazzareno Dimasi'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 Nazzareno Dimasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nazzareno Dimasi more than expected).
Fields of papers citing papers by Nazzareno Dimasi
This network shows the impact of papers produced by Nazzareno Dimasi. 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 Nazzareno Dimasi. The network helps show where Nazzareno Dimasi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nazzareno Dimasi, 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 | 2018 | 58 | |
| 2 | 2018 | 58 | |
| 3 | 2017 | 91 | |
| 4 | Chapter Twelve - Antibody-Drug Conjugates | 2017 | 4 |
| 5 | 2016 | 13 | |
| 6 | 2014 | 215 | |
| 7 | 2009 | 75 | |
| 8 | 2007 | 65 | |
| 9 | 2007 | 24 | |
| 10 | 2007 | 4 | |
| 11 | 2007 | 27 | |
| 12 | 2006 | 6 | |
| 13 | 2006 | 24 | |
| 14 | 2006 | 15 | |
| 15 | 2004 | 20 | |
| 16 | 2004 | 17 | |
| 17 | VARIABLE MHC CLASS I ENGAGEMENT BY LY49 NATURAL KILLER CELL RECEPTORS DEMONSTRATED BY THE CRYSTAL STRUCTURE OF LY49C BOUND TO H-2K(B) | 2003 | 0 |
| 18 | 2001 | 103 | |
| 19 | 1998 | 11 | |
| 20 | 1998 | 20 |
About Nazzareno Dimasi
Nazzareno Dimasi is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Oncology, having authored 62 papers that have together received 2.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (30 papers), Immune Cell Function and Interaction (21 papers), HER2/EGFR in Cancer Research (17 papers), T-cell and B-cell Immunology (16 papers), Glycosylation and Glycoproteins Research (11 papers), Protein purification and stability (7 papers), Immunotherapy and Immune Responses (7 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Immunology (989 citations), Radiology, Nuclear Medicine and Imaging (933 citations) and Oncology (799 citations). Nazzareno Dimasi has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Roy A. Mariuzza, Changshou Gao, Kannan Natarajan, David H. Margulies, Ryan Fleming, Herren Wu, Jian Wang, Roberto Biassoni, Binyam Bezabeh and Peter Schuck. Their work appears in journals such as Immunity, Nature Immunology 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.