Gan Zhao
- Immunology top 5%
- Immunotherapy and Immune Responses 7
- Cancer Research top 10%
- MicroRNA in disease regulation 6
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 10
- SARS-CoV-2 and COVID-19 Research 7
- Agronomy and Crop Science top 5%
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 6
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- Neonatal Respiratory Health Research 10
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- Hepatitis Viruses Studies and Epidemiology 7
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- Respiratory viral infections research 7
- Co-authors
- Kangfeng JiangHaichong WuShuai GuoGanzhen DengJing YangAndrew E. VaughanChangwei QiuAaron I. Weiner
- Journals
- Science (1 paper)Journal of the American Chemical Society (2 papers)Nature Communications (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Gan Zhao
68 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Immunology 472
- Cancer Research 233
- Infectious Diseases 286
- Agronomy and Crop Science 127
- Molecular Biology 769
Countries citing papers authored by Gan Zhao
This map shows the geographic impact of Gan Zhao'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 Gan Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gan Zhao more than expected).
Fields of papers citing papers by Gan Zhao
This network shows the impact of papers produced by Gan Zhao. 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 Gan Zhao. The network helps show where Gan Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gan Zhao, 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 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 41 | |
| 4 | 2024 | 31 | |
| 5 | 2024 | 3 | |
| 6 | High-throughput barcoding of nanoparticles identifies cationic, degradable lipid-like materials for mRNA delivery to the lungs in female preclinical modelsbreakdown → | 2024 | 83 |
| 7 | 2024 | 12 | |
| 8 | 2024 | 18 | |
| 9 | 2024 | 44 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 26 | |
| 14 | 2020 | 5 | |
| 15 | 2020 | 38 | |
| 16 | 2019 | 52 | |
| 17 | 2019 | 72 | |
| 18 | 2016 | 11 | |
| 19 | 2016 | 39 | |
| 20 | 2008 | 26 |
About Gan Zhao
Gan Zhao is a scholar working on Hepatology, Agronomy and Crop Science and Infectious Diseases, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (10 papers), Neonatal Respiratory Health Research (10 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Hepatitis Viruses Studies and Epidemiology (7 papers), Immunotherapy and Immune Responses (7 papers), Respiratory viral infections research (7 papers), RNA Interference and Gene Delivery (6 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Immunology (472 citations), Cancer Research (233 citations) and Infectious Diseases (286 citations). Gan Zhao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Kangfeng Jiang, Haichong Wu, Shuai Guo, Ganzhen Deng, Jing Yang, Andrew E. Vaughan, Changwei Qiu, Aaron I. Weiner, Bin Wang and Michael J. Mitchell. Their work appears in journals such as Science, Journal of the American Chemical Society and Nature Communications.
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.