William Jia
Impact in
- Biological Psychiatry top 2%
- Pharmacology top 1%
- Pharmacological Effects of Natural Compounds
Papers in
-
- RNA Interference and Gene Delivery 22
- Ginseng Biological Effects and Applications 17
- Natural product bioactivities and synthesis 9
- Genetics 53
- Virus-based gene therapy research 50
- Co-authors
- Paul S. Rennie (20 shared papers)Max S. Cynader (13 shared papers)Xinmin Liu (4 shared papers)Haixia Dang (3 shared papers)Qiong Wang (3 shared papers)Cleo Lee (4 shared papers)Ladan Fazli (9 shared papers)Liwei Wang (1 shared paper)
- Journals
- PLoS ONE (7 papers)Biochemical and Biophysical Research Communications (7 papers)Cancer Research (5 papers)Molecular Therapy — Oncolytics (5 papers)Journal of Clinical Oncology (4 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
William Jia
123 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 126
- Biological Psychiatry 138
- Pharmacology 288
- Genetics 752
- Molecular Biology 1.5k
- Behavioral Neuroscience 72
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-authors
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
Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 202 | |
| 2 | 2020 | 140 | |
| 3 | 2010 | 106 | |
| 4 | 2009 | 89 | |
| 5 | 2012 | 83 | |
| 6 | 2009 | 82 | |
| 7 | 2010 | 80 | |
| 8 | 2016 | 75 | |
| 9 | 2011 | 74 | |
| 10 | 2023 | 73 | |
| 11 | 1994 | 61 | |
| 12 | 2015 | 59 | |
| 13 | 2007 | 56 | |
| 14 | 2006 | 55 | |
| 15 | 2010 | 48 | |
| 16 | 2007 | 47 | |
| 17 | 2009 | 44 | |
| 18 | 2020 | 43 | |
| 19 | 2009 | 43 | |
| 20 | 2010 | 42 |
About William Jia
William Jia is a scholar working on Molecular Biology, Genetics, Epidemiology, Oncology and Immunology, having authored 124 papers that have together received 3.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (50 papers), RNA Interference and Gene Delivery (22 papers), Herpesvirus Infections and Treatments (19 papers), Ginseng Biological Effects and Applications (17 papers), CAR-T cell therapy research (12 papers), Animal Virus Infections Studies (9 papers), Natural product bioactivities and synthesis (9 papers) and Amyotrophic Lateral Sclerosis Research (8 papers). The work is most often cited by research in Biological Psychiatry (138 citations), Pharmacology (288 citations), Genetics (752 citations), Molecular Biology (1.5k citations) and Behavioral Neuroscience (72 citations). William Jia has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Paul S. Rennie, Max S. Cynader, Xinmin Liu, Haixia Dang, Qiong Wang, Cleo Lee, Ladan Fazli, Liwei Wang, Yuqing Wang and Ying Chen. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications, Cancer Research, Molecular Therapy — Oncolytics 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.