Daniel DiMaio
Impact in
- Genetics top 0.5%
- Virus-based gene therapy research
- Epidemiology top 0.5%
- Cervical Cancer and HPV Research
Papers in
- Genetics 82
- Virus-based gene therapy research 81
- Epidemiology 59
- Cervical Cancer and HPV Research 46
- Co-authors
- Edward C. Goodwin (16 shared papers)Tom Maniatis (4 shared papers)Kai Zinn (1 shared paper)Lisa M. Petti (12 shared papers)Daniel Nathans (4 shared papers)Eun Seong Hwang (3 shared papers)Kimberly L. Johung (3 shared papers)Laura A. Nilson (5 shared papers)
- Journals
- Journal of Virology (34 papers)Proceedings of the National Academy of Sciences (19 papers)Molecular and Cellular Biology (11 papers)mBio (7 papers)Virology (6 papers)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Daniel DiMaio
176 papers receiving 9.6k citations
Daniel DiMaio's Hit Papers
Peers
Comparison fields: 5 of 131
- Genetics 2.8k
- Epidemiology 3.1k
- Oncology 2.4k
- Immunology 1.9k
- Aging 147
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 178 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 | 1167 |
| 2 | Identification of two distinct regulatory regions adjacent to the human β-interferon gene Hit paper breakdown → | 1983 | 986 |
| 3 | 2000 | 378 | |
| 4 | 2002 | 284 | |
| 5 | 2013 | 213 | |
| 6 | 2007 | 202 | |
| 7 | 1991 | 200 | |
| 8 | 2010 | 181 | |
| 9 | 2000 | 180 | |
| 10 | 1982 | 166 | |
| 11 | 2013 | 162 | |
| 12 | 1982 | 150 | |
| 13 | 2001 | 146 | |
| 14 | 1986 | 145 | |
| 15 | 1993 | 145 | |
| 16 | 1992 | 119 | |
| 17 | 1981 | 118 | |
| 18 | 1980 | 118 | |
| 19 | 1991 | 111 | |
| 20 | 1995 | 110 |
About Daniel DiMaio
Daniel DiMaio is a scholar working on Genetics, Epidemiology, Immunology, Oncology and Molecular Biology, having authored 178 papers that have together received 10.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (81 papers), Cervical Cancer and HPV Research (46 papers), Molecular Biology Techniques and Applications (20 papers), Cancer-related Molecular Pathways (18 papers), Bacteriophages and microbial interactions (15 papers), Polyomavirus and related diseases (14 papers), T-cell and Retrovirus Studies (14 papers) and RNA and protein synthesis mechanisms (14 papers). The work is most often cited by research in Genetics (2.8k citations), Epidemiology (3.1k citations), Oncology (2.4k citations), Immunology (1.9k citations) and Aging (147 citations). Daniel DiMaio has collaborated with scholars based in United States, United Kingdom and Russia. 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, Wim J. Kleijer and Amelia Morrone. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, mBio and Virology.
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.