William Jia
- Genetics top 5%
- Virus-based gene therapy research 45
- Pharmacology top 5%
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 23
- Ginseng Biological Effects and Applications 6
- Virology top 5%
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research 8
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- Herpesvirus Infections and Treatments 17
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- CAR-T cell therapy research 8
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- Animal Virus Infections Studies 7
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- Cancer Research and Treatments 6
- Journals
- Biochemical and Biophysical Research Communications (7 papers)PLoS ONE (6 papers)Molecular Therapy — Oncolytics (4 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
William Jia
96 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 127
- Genetics 656
- Pharmacology 156
- Molecular Biology 1.2k
- Virology 80
- Neurology 133
Countries citing papers authored by William Jia
This map shows the geographic impact of William Jia'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 William Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Jia more than expected).
Fields of papers citing papers by William Jia
This network shows the impact of papers produced by William Jia. 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 William Jia. The network helps show where William Jia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William Jia, 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 | 2 | |
| 2 | 2024 | 14 | |
| 3 | 2020 | 26 | |
| 4 | 2017 | 40 | |
| 5 | 2015 | 28 | |
| 6 | Expression of ADAMs (A Disintegrin and Metalloproteinase) 10 and 17 in Human Eyes and in Experimental Models of Age Related Macular Degeneration (AMD) | 2014 | 1 |
| 7 | 2012 | 9 | |
| 8 | 2011 | 73 | |
| 9 | 2011 | 2 | |
| 10 | 2010 | 42 | |
| 11 | 2010 | 7 | |
| 12 | 2010 | 26 | |
| 13 | 2009 | 10 | |
| 14 | 2008 | 1 | |
| 15 | 2008 | 35 | |
| 16 | 2007 | 56 | |
| 17 | 2006 | 3 | |
| 18 | 2006 | 25 | |
| 19 | 2004 | 21 | |
| 20 | 1999 | 6 |
About William Jia
William Jia is a scholar working on Genetics, Immunology, Molecular Biology, Biotechnology and Epidemiology, having authored 96 papers that have together received 2.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (45 papers), RNA Interference and Gene Delivery (23 papers), Herpesvirus Infections and Treatments (17 papers), Amyotrophic Lateral Sclerosis Research (8 papers), CAR-T cell therapy research (8 papers), Animal Virus Infections Studies (7 papers), Cancer Research and Treatments (6 papers) and Ginseng Biological Effects and Applications (6 papers). The work is most often cited by research in Genetics (656 citations), Pharmacology (156 citations), Molecular Biology (1.2k citations), Virology (80 citations) and Neurology (133 citations). William Jia has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Paul S. Rennie, Max S. Cynader, Cleo Lee, Ladan Fazli, Qun Zhou, Vivian Lam, Gerald Krystal, Yan Hang, Ingrid Elisia and Luke Bu. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, Molecular Therapy — Oncolytics, Cancer Research and Journal of Clinical Oncology.
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.