Robert Naso
Impact in
- Infectious Diseases top 2%
- Antimicrobial Resistance in Staphylococcus
- Microbiology top 2%
Papers in
-
- Antimicrobial Resistance in Staphylococcus 10
- HIV/AIDS drug development and treatment 3
- Co-authors
- Ali Fattom (16 shared papers)Gary Horwith (5 shared papers)Ralph B. Arlinghaus (4 shared papers)Steve Fuller (3 shared papers)L.J. Arcement (2 shared papers)Larry R. Muenz (2 shared papers)Rachel Schneerson (2 shared papers)John B. Robbins (2 shared papers)
- Journals
- Vaccine (4 papers)Blood (2 papers)Journal of Medicinal Chemistry (2 papers)Virology (2 papers)Cell (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Robert Naso
28 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Infectious Diseases 627
- Microbiology 175
- Virology 109
- Clinical Biochemistry 99
- Immunology 228
Countries citing papers authored by Robert Naso
This map shows the geographic impact of Robert 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 Robert Naso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Naso more than expected).
Fields of papers citing papers by Robert Naso
This network shows the impact of papers produced by Robert 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 Robert Naso. The network helps show where Robert Naso may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert 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 | 2002 | 395 | |
| 2 | 2000 | 153 | |
| 3 | 1975 | 144 | |
| 4 | 2003 | 138 | |
| 5 | 2006 | 94 | |
| 6 | 1999 | 87 | |
| 7 | 2004 | 77 | |
| 8 | 2003 | 77 | |
| 9 | 2003 | 59 | |
| 10 | 1995 | 49 | |
| 11 | 1998 | 45 | |
| 12 | 1977 | 41 | |
| 13 | 1975 | 37 | |
| 14 | 2004 | 33 | |
| 15 | 1996 | 20 | |
| 16 | 2002 | 20 | |
| 17 | 1996 | 19 | |
| 18 | 1973 | 19 | |
| 19 | 1982 | 18 | |
| 20 | 1972 | 13 |
About Robert Naso
Robert Naso is a scholar working on Infectious Diseases, Immunology, Epidemiology, Molecular Biology and Virology, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (10 papers), HIV Research and Treatment (6 papers), Virus-based gene therapy research (6 papers), Bacterial Infections and Vaccines (4 papers), Pneumonia and Respiratory Infections (4 papers), HIV/AIDS drug development and treatment (3 papers), Bacterial biofilms and quorum sensing (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Infectious Diseases (627 citations), Microbiology (175 citations), Virology (109 citations), Clinical Biochemistry (99 citations) and Immunology (228 citations). Robert Naso has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ali Fattom, Gary Horwith, Ralph B. Arlinghaus, Steve Fuller, L.J. Arcement, Larry R. Muenz, Rachel Schneerson, John B. Robbins, Steven Black and Hock H. Yeoh. Their work appears in journals such as Vaccine, Blood, Journal of Medicinal Chemistry, Virology and Cell.
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.