Hailiang Liu
- Parasitology top 5%
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- Prenatal Screening and Diagnostics 12
- Fetal and Pediatric Neurological Disorders 7
- Small Animals top 5%
- Infectious Diseases top 10%
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- Cancer Genomics and Diagnostics 3
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- Genomic variations and chromosomal abnormalities 11
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- Immune Response and Inflammation 3
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- Chromosomal and Genetic Variations 3
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- Wound Healing and Treatments 2
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- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Aihua YinJianguo XuJing SunX. D. WangHaishan PengYaping HouQingqing HeHaimei OuYang
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Hailiang Liu
35 papers receiving 953 citations
Peers
Comparison fields: 5 of 100
- Parasitology 123
- Pediatrics, Perinatology and Child Health 323
- Small Animals 67
- Infectious Diseases 134
- Cancer Research 99
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 | 2024 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2020 | 35 | |
| 4 | 2020 | 10 | |
| 5 | 2019 | 2 | |
| 6 | 2019 | 5 | |
| 7 | 2019 | 4 | |
| 8 | 2018 | 55 | |
| 9 | 2018 | 7 | |
| 10 | 2018 | 6 | |
| 11 | 2018 | 4 | |
| 12 | 2017 | 118 | |
| 13 | 2017 | 19 | |
| 14 | 2016 | 2 | |
| 15 | 2016 | 33 | |
| 16 | [Preoperative neutrophil-lymphocyte ratio as an independent prognostic predictor for pancreatic cancer]. | 2015 | 1 |
| 17 | 2014 | 21 | |
| 18 | 2014 | 52 | |
| 19 | 2012 | 40 | |
| 20 | 2011 | 140 |
About Hailiang Liu
Hailiang Liu is a scholar working on Pediatrics, Perinatology and Child Health, Developmental Neuroscience and Sensory Systems, having authored 37 papers that have together received 968 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (12 papers), Genomic variations and chromosomal abnormalities (11 papers), Fetal and Pediatric Neurological Disorders (7 papers), Cancer Genomics and Diagnostics (3 papers), Immune Response and Inflammation (3 papers), Chromosomal and Genetic Variations (3 papers), Wound Healing and Treatments (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Parasitology (123 citations), Pediatrics, Perinatology and Child Health (323 citations) and Small Animals (67 citations). Hailiang Liu has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Aihua Yin, Jianguo Xu, Jing Sun, X. D. Wang, Haishan Peng, Yaping Hou, Qingqing He, Haimei OuYang, Qun Wang and Jie Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.