Huibi Cao
Impact in
- Clinical Biochemistry top 5%
- Paraoxonase enzyme and polymorphisms
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- Retinal Development and Disorders 6
- CRISPR and Genetic Engineering 6
- RNA Interference and Gene Delivery 5
- Genetics 15
- Virus-based gene therapy research 15
- Co-authors
- Jim Hu (24 shared papers)Anik Girard-Globa (2 shared papers)François Berthézène (2 shared papers)Philippe Moulin (2 shared papers)David R. Koehler (3 shared papers)Rahul Kushwah (3 shared papers)Jing Wu (7 shared papers)Allan L. Coates (3 shared papers)
- Journals
- Human Gene Therapy (3 papers)Gene Therapy (2 papers)Genes & Diseases (2 papers)Cell & Bioscience (2 papers)Genes (2 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Huibi Cao
29 papers receiving 691 citations
Peers
Comparison fields: 5 of 74
- Clinical Biochemistry 133
- Genetics 210
- Pulmonary and Respiratory Medicine 150
- Molecular Biology 342
- Biochemistry 31
Countries citing papers authored by Huibi Cao
This map shows the geographic impact of Huibi Cao'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 Huibi Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huibi Cao more than expected).
Fields of papers citing papers by Huibi Cao
This network shows the impact of papers produced by Huibi Cao. 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 Huibi Cao. The network helps show where Huibi Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Huibi Cao, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 110 | |
| 2 | 2004 | 74 | |
| 3 | 2008 | 59 | |
| 4 | 2018 | 53 | |
| 5 | 2011 | 42 | |
| 6 | 1998 | 39 | |
| 7 | 2013 | 34 | |
| 8 | 2010 | 29 | |
| 9 | 2007 | 28 | |
| 10 | 2019 | 28 | |
| 11 | 2019 | 27 | |
| 12 | 2020 | 23 | |
| 13 | 2008 | 21 | |
| 14 | 2007 | 20 | |
| 15 | 2015 | 16 | |
| 16 | 2014 | 14 | |
| 17 | 2011 | 14 | |
| 18 | 2012 | 12 | |
| 19 | 2021 | 11 | |
| 20 | Potential of helper-dependent adenoviral vectors in modulating airway innate immunity. | 2007 | 11 |
About Huibi Cao
Huibi Cao is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering and Immunology, having authored 29 papers that have together received 705 indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), Retinal Development and Disorders (6 papers), Energy Harvesting in Wireless Networks (6 papers), CRISPR and Genetic Engineering (6 papers), RNA Interference and Gene Delivery (5 papers), Cystic Fibrosis Research Advances (4 papers), Neonatal Respiratory Health Research (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Clinical Biochemistry (133 citations), Genetics (210 citations), Pulmonary and Respiratory Medicine (150 citations), Molecular Biology (342 citations) and Biochemistry (31 citations). Huibi Cao has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Jim Hu, Anik Girard-Globa, François Berthézène, Philippe Moulin, David R. Koehler, Rahul Kushwah, Jing Wu, Allan L. Coates, Robert S. Molday and Yiqian Zhang. Their work appears in journals such as Human Gene Therapy, Gene Therapy, Genes & Diseases, Cell & Bioscience and Genes.
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.