John Zaia
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
Papers in
-
- RNA Interference and Gene Delivery 6
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
- Advanced biosensing and bioanalysis techniques 1
- Genetics 6
- Virus-based gene therapy research 6
- Co-authors
- John J. Rossi (9 shared papers)Shirley Xin Li (5 shared papers)Jiehua Zhou (1 shared paper)Haitang Li (3 shared papers)Alessandro Michienzi (2 shared papers)Daniela Castanotto (3 shared papers)Jiing-Kuan Yee (2 shared papers)Bruce E. Kaplan (1 shared paper)
- Journals
- Molecular Therapy (4 papers)Annals of the New York Academy of Sciences (3 papers)Blood (1 paper)Leukemia & lymphoma (1 paper)Somatic Cell and Molecular Genetics (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
John Zaia
11 papers receiving 589 citations
Peers
Comparison fields: 5 of 53
- Virology 154
- Molecular Biology 486
- Genetics 156
- Immunology 74
- Infectious Diseases 59
Countries citing papers authored by John Zaia
This map shows the geographic impact of John Zaia'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 John Zaia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Zaia more than expected).
Fields of papers citing papers by John Zaia
This network shows the impact of papers produced by John Zaia. 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 John Zaia. The network helps show where John Zaia may publish in the future.
Co-authors
The 25 scholars most cited alongside John Zaia, 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 | 2008 | 244 | |
| 2 | 2003 | 131 | |
| 3 | 1988 | 101 | |
| 4 | 2003 | 64 | |
| 5 | 2002 | 32 | |
| 6 | 1990 | 11 | |
| 7 | 2001 | 7 | |
| 8 | 2006 | 5 | |
| 9 | 2013 | 4 | |
| 10 | 2006 | 1 | |
| 11 | 1990 | 1 |
About John Zaia
John Zaia is a scholar working on Molecular Biology, Genetics, Virology, Infectious Diseases and Epidemiology, having authored 11 papers that have together received 601 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), RNA Interference and Gene Delivery (6 papers), HIV Research and Treatment (4 papers), CRISPR and Genetic Engineering (3 papers), RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Virology (154 citations), Molecular Biology (486 citations), Genetics (156 citations), Immunology (74 citations) and Infectious Diseases (59 citations). John Zaia has collaborated with scholars based in United States, Germany and France. Frequent co-authors include John J. Rossi, Shirley Xin Li, Jiehua Zhou, Haitang Li, Alessandro Michienzi, Daniela Castanotto, Jiing-Kuan Yee, Bruce E. Kaplan, Patricia Spallone and George J. Murakawa. Their work appears in journals such as Molecular Therapy, Annals of the New York Academy of Sciences, Blood, Leukemia & lymphoma and Somatic Cell and Molecular Genetics.
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.