Daniel DiMaio
Impact in
- Genetics top 0.5%
- Virus-based gene therapy research
- Immunology top 1%
- interferon and immune responses
Papers in
- Genetics 82
- Virus-based gene therapy research 81
- Immunology 40
- T-cell and Retrovirus Studies 14
- interferon and immune responses 13
- Co-authors
- Edward C. GoodwinTom ManiatisKai ZinnLisa M. PettiDaniel NathansEun Seong HwangKimberly L. JohungLaura A. Nilson
- 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 KingdomRussia
In The Last Decade
Daniel DiMaio
165 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Genetics 2.7k
- Immunology 1.9k
- Oncology 2.3k
- Epidemiology 2.9k
- Aging 138
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 10 | |
| 6 | 2016 | 23 | |
| 7 | 2013 | 6 | |
| 8 | 2013 | 202 | |
| 9 | 2010 | 32 | |
| 10 | 2010 | 5 | |
| 11 | 2008 | 58 | |
| 12 | 2007 | 84 | |
| 13 | 2006 | 46 | |
| 14 | Cancer issue: The War on Cancer: An Update from the New Haven Theater of Operations | 2006 | 1 |
| 15 | 2003 | 4 | |
| 16 | 1995 | 107 | |
| 17 | 1995 | 71 | |
| 18 | 1990 | 14 | |
| 19 | 1989 | 6 | |
| 20 | 1988 | 49 |
About Daniel DiMaio
Daniel DiMaio is a scholar working on Genetics, Immunology, Epidemiology, Virology and Oncology, having authored 168 papers that have together received 9.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (81 papers), Cervical Cancer and HPV Research (41 papers), Molecular Biology Techniques and Applications (20 papers), Cancer-related Molecular Pathways (15 papers), Bacteriophages and microbial interactions (15 papers), T-cell and Retrovirus Studies (14 papers), RNA and protein synthesis mechanisms (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), Oncology (2.3k citations), Epidemiology (2.9k citations) and Aging (138 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, 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.