Robert J. Natuk
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Epidemiology 20
- Herpesvirus Infections and Treatments 8
- Virology and Viral Diseases 5
- Genetics 16
- Virus-based gene therapy research 16
- Co-authors
- Raymond M. Welsh (5 shared papers)Michael D. Lubeck (9 shared papers)Satoshi Mizutani (10 shared papers)Bheem M. Bhat (7 shared papers)Murty Chengalvala (7 shared papers)Christine A. Biron (2 shared papers)David Cooper (6 shared papers)Min Guo (6 shared papers)
- Journals
- Journal of Virology (6 papers)Vaccine (4 papers)The Journal of Immunology (3 papers)Virology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Robert J. Natuk
28 papers receiving 902 citations
Peers
Comparison fields: 5 of 55
- Virology 235
- Immunology 314
- Epidemiology 466
- Infectious Diseases 250
- Genetics 331
Countries citing papers authored by Robert J. Natuk
This map shows the geographic impact of Robert J. Natuk'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 J. Natuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. Natuk more than expected).
Fields of papers citing papers by Robert J. Natuk
This network shows the impact of papers produced by Robert J. Natuk. 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 J. Natuk. The network helps show where Robert J. Natuk may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert J. Natuk, 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 | 1989 | 121 | |
| 2 | 1987 | 85 | |
| 3 | 2007 | 73 | |
| 4 | 2006 | 73 | |
| 5 | 1994 | 64 | |
| 6 | 1986 | 60 | |
| 7 | 1998 | 58 | |
| 8 | 1993 | 56 | |
| 9 | 1992 | 45 | |
| 10 | 2014 | 45 | |
| 11 | 1990 | 32 | |
| 12 | 2005 | 29 | |
| 13 | 2006 | 28 | |
| 14 | 1985 | 26 | |
| 15 | 1987 | 25 | |
| 16 | 2009 | 21 | |
| 17 | 1988 | 15 | |
| 18 | 1991 | 14 | |
| 19 | 2014 | 13 | |
| 20 | 1991 | 12 |
About Robert J. Natuk
Robert J. Natuk is a scholar working on Epidemiology, Genetics, Immunology, Virology and Infectious Diseases, having authored 28 papers that have together received 941 indexed citations. Recurring topics across this work include Virus-based gene therapy research (16 papers), Herpesvirus Infections and Treatments (8 papers), Immune Cell Function and Interaction (6 papers), Virology and Viral Diseases (5 papers), HIV Research and Treatment (5 papers), Poxvirus research and outbreaks (4 papers), Immunotherapy and Immune Responses (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Virology (235 citations), Immunology (314 citations), Epidemiology (466 citations), Infectious Diseases (250 citations) and Genetics (331 citations). Robert J. Natuk has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Raymond M. Welsh, Michael D. Lubeck, Satoshi Mizutani, Bheem M. Bhat, Murty Chengalvala, Christine A. Biron, David Cooper, Min Guo, B B Mason and A. Davis. Their work appears in journals such as Journal of Virology, Vaccine, The Journal of Immunology, Virology and Proceedings of the National Academy of Sciences.
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.