Hao Liang
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Infectious Diseases
- Pharmacology top 5%
- Public Health, Environmental and Occupational Health
- Topics
- Computational Drug Discovery Methods (6 papers)SARS-CoV-2 and COVID-19 Research (4 papers)Reproductive Biology and Fertility (2 papers)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Hao Liang
20 papers receiving 562 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Molecular Biology 227
- Computational Theory and Mathematics 148
- Infectious Diseases 99
- Pharmacology 91
- Public Health, Environmental and Occupational Health 74
Countries citing papers authored by Hao Liang
This map shows the geographic impact of Hao Liang'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 Hao Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Liang more than expected).
Fields of papers citing papers by Hao Liang
This network shows the impact of papers produced by Hao Liang. 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 Hao Liang. The network helps show where Hao Liang may publish in the future.
Co-authorship network of co-authors of Hao Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Hao Liang. A scholar is included among the top collaborators of Hao Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hao Liang. Hao Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | Scutellaria baicalensis extract and baicalein inhibit replication of SARS-CoV-2 and its 3C-like protease in vitrobreakdown → | 228 |
| 9 | 41 | |
| 10 | 2 | |
| 11 | 27 | |
| 12 | 54 | |
| 13 | 17 | |
| 14 | 14 | |
| 15 | 24 | |
| 16 | 35 | |
| 17 | 22 | |
| 18 | 4 | |
| 19 | 29 | |
| 20 | 17 |
About Hao Liang
Hao Liang is a scholar working on Aging, Biological Psychiatry and Computational Theory and Mathematics, having authored 25 papers that have together received 573 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Pharmacology (91 citations), Computational Theory and Mathematics (148 citations) and Complementary and alternative medicine (72 citations). Hao Liang has collaborated with scholars based in China, France and United States. Frequent co-authors include Luhua Lai, Qi Sun, Baoying Huang, Chunmei Li, Wenjie Tan, Roujian Lu, Hongbo Liu, Fei Ye, Siyang Li and Ping Yuan. Their work appears in journals such as Acta Materialia, Scientific Reports and Nature Chemical Biology.
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.