Hailiang Liu
- Plant Science top 2%
- Plant Molecular Biology Research 13
- Plant nutrient uptake and metabolism 8
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds 12
- Berberine and alkaloids research 5
- Molecular Biology top 10%
- Plant tissue culture and regeneration 6
- Plant Reproductive Biology 5
- Aging top 10%
- Biological Psychiatry top 10%
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- Dermatology and Skin Diseases 6
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- Mesenchymal stem cell research 5
- Co-authors
- Shannon BoehmeJohn Y.L. ChiangPreeti PathakCe HuangJian‐Kang ZhuJian ZhuXin‐Jian HeOlga Pontes
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hailiang Liu
86 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 140
- Plant Science 828
- Pharmacology 172
- Molecular Biology 1.2k
- Aging 27
- Biological Psychiatry 32
Countries citing papers authored by Hailiang Liu
This map shows the geographic impact of Hailiang Liu'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 Hailiang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailiang Liu more than expected).
Fields of papers citing papers by Hailiang Liu
This network shows the impact of papers produced by Hailiang Liu. 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 Hailiang Liu. The network helps show where Hailiang Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hailiang Liu, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 58 | |
| 4 | 2023 | 45 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 35 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 3 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 18 | |
| 12 | Novel biomarkers containing citrullinated peptides for diagnosis of systemic lupus erythematosus using protein microarrays. | 2019 | 6 |
| 13 | 2017 | 189 | |
| 14 | 2017 | 86 | |
| 15 | 2016 | 102 | |
| 16 | 2016 | 18 | |
| 17 | 2014 | 7 | |
| 18 | 2013 | 13 | |
| 19 | 2012 | 8 | |
| 20 | Clinical significance at diagnosis of lung cancer by detecting aberrant p16 promoter methylation in suspicious lung cancer patients. | 2009 | 2 |
About Hailiang Liu
Hailiang Liu is a scholar working on Pharmacology, Biological Psychiatry and Horticulture, having authored 89 papers that have together received 2.5k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (13 papers), Pharmacological Effects of Natural Compounds (12 papers), Plant nutrient uptake and metabolism (8 papers), Plant tissue culture and regeneration (6 papers), Dermatology and Skin Diseases (6 papers), Plant Reproductive Biology (5 papers), Berberine and alkaloids research (5 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Plant Science (828 citations), Pharmacology (172 citations) and Molecular Biology (1.2k citations). Hailiang Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shannon Boehme, John Y.L. Chiang, Preeti Pathak, Ce Huang, Jian‐Kang Zhu, Jian Zhu, Xin‐Jian He, Olga Pontes, Shengyu Feng and Craig S. Pikaard. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.
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.