Huina Liu
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 4
- Pollution top 5%
- Neurology top 10%
- Ecological Modeling top 10%
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- Seed Germination and Physiology 5
- Allelopathy and phytotoxic interactions 4
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- RNA Interference and Gene Delivery 4
- Extracellular vesicles in disease 4
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- Immunotherapy and Immune Responses 4
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- Mesenchymal stem cell research 4
- Cited by
- Cancer ResearchPollutionNeurology
- Journals
- Neurology (2 papers)Journal of Hazardous Materials (1 paper)Bioresource Technology (2 papers)
- Partner nations
- ChinaPolandUnited States
In The Last Decade
Huina Liu
72 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cancer Research 199
- Pollution 147
- Neurology 83
- Industrial and Manufacturing Engineering 67
- Ecological Modeling 30
Countries citing papers authored by Huina Liu
This map shows the geographic impact of Huina 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 Huina Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huina Liu more than expected).
Fields of papers citing papers by Huina Liu
This network shows the impact of papers produced by Huina 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 Huina Liu. The network helps show where Huina Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huina 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 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 10 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 10 | |
| 11 | 2024 | 10 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 13 | |
| 16 | 2022 | 13 | |
| 17 | 2018 | 3 | |
| 18 | Patient satisfaction after nurse-led care in Chinese patients with rheumatoid arthritis: A China study | 2017 | 6 |
| 19 | The Dispersal Ways of Plant Seeds and Their Adaptability | 2013 | 1 |
| 20 | Expression of MACC1 in epithelial ovarian cancer and its clinical significance | 2011 | 2 |
About Huina Liu
Huina Liu is a scholar working on Cancer Research, Aging and Pharmaceutical Science, having authored 77 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Seed Germination and Physiology (5 papers), RNA Interference and Gene Delivery (4 papers), MicroRNA in disease regulation (4 papers), Immunotherapy and Immune Responses (4 papers), Extracellular vesicles in disease (4 papers), Mesenchymal stem cell research (4 papers) and Allelopathy and phytotoxic interactions (4 papers). The work is most often cited by research in Cancer Research (199 citations), Pollution (147 citations) and Neurology (83 citations). Huina Liu has collaborated with scholars based in China, Poland and United States. Frequent co-authors include Liyuan Han, Ting Cai, Quanquan Ding, Shiwei Liu, Min Ji, Shun Zhang, Shi Huirong, Xiaojuan Wang, Ting Cai and Jie Zhu. Their work appears in journals such as Neurology, Journal of Hazardous Materials and Bioresource Technology.
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.