Daniel DiMaio
Impact in
- Genetics top 0.5%
- Virus-based gene therapy research
- Immunology top 1%
- interferon and immune responses
Papers in
- Genetics 81
- Virus-based gene therapy research 80
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- Molecular Biology Techniques and Applications 20
- RNA and protein synthesis mechanisms 14
- Co-authors
- Edward C. Goodwin (15 shared papers)Tom Maniatis (3 shared papers)Kai Zinn (1 shared paper)Lisa M. Petti (12 shared papers)Daniel Nathans (3 shared papers)Eun Seong Hwang (3 shared papers)Kimberly L. Johung (2 shared papers)Laura A. Nilson (5 shared papers)
- Journals
- Journal of Virology (31 papers)Proceedings of the National Academy of Sciences (19 papers)Molecular and Cellular Biology (11 papers)Virology (6 papers)PLoS Pathogens (6 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel DiMaio
165 papers receiving 9.3k citations
Daniel DiMaio's Hit Papers
Peers
Comparison fields: 5 of 127
- Genetics 2.7k
- Immunology 1.9k
- Epidemiology 2.8k
- Oncology 2.2k
- Aging 134
Countries citing papers authored by Daniel DiMaio
This map shows the geographic impact of Daniel DiMaio'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 Daniel DiMaio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel DiMaio more than expected).
Fields of papers citing papers by Daniel DiMaio
This network shows the impact of papers produced by Daniel DiMaio. 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 Daniel DiMaio. The network helps show where Daniel DiMaio may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel DiMaio, 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 168 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Senescence‐associated β‐galactosidase is lysosomal β‐galactosidase Hit paper breakdown → | 2006 | 1110 |
| 2 | Identification of two distinct regulatory regions adjacent to the human β-interferon gene Hit paper breakdown → | 1983 | 995 |
| 3 | 2000 | 353 | |
| 4 | 2002 | 269 | |
| 5 | 2013 | 205 | |
| 6 | 1991 | 196 | |
| 7 | 2007 | 189 | |
| 8 | 2010 | 172 | |
| 9 | 2000 | 169 | |
| 10 | 2013 | 157 | |
| 11 | 1982 | 147 | |
| 12 | 1982 | 146 | |
| 13 | 1986 | 137 | |
| 14 | 1993 | 136 | |
| 15 | 2001 | 133 | |
| 16 | 1980 | 113 | |
| 17 | 1992 | 113 | |
| 18 | 1995 | 108 | |
| 19 | 1991 | 104 | |
| 20 | 2015 | 104 |
About Daniel DiMaio
Daniel DiMaio is a scholar working on Genetics, Molecular Biology, Epidemiology, Oncology and Immunology, having authored 168 papers that have together received 9.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (80 papers), Cervical Cancer and HPV Research (41 papers), Molecular Biology Techniques and Applications (20 papers), Cancer-related Molecular Pathways (15 papers), T-cell and Retrovirus Studies (14 papers), RNA and protein synthesis mechanisms (14 papers), Bacteriophages and microbial interactions (14 papers) and interferon and immune responses (13 papers). The work is most often cited by research in Genetics (2.7k citations), Immunology (1.9k citations), Epidemiology (2.8k citations), Oncology (2.2k citations) and Aging (134 citations). Daniel DiMaio has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Edward C. Goodwin, Tom Maniatis, Kai Zinn, Lisa M. Petti, Daniel Nathans, Eun Seong Hwang, Kimberly L. Johung, Laura A. Nilson, Amelia Morrone and Wim J. Kleijer. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Virology and PLoS Pathogens.
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.