Jialin Liu
- Genetics top 10%
- Glioma Diagnosis and Treatment 14
- Biomaterials top 10%
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- Immune cells in cancer 5
- Immunotherapy and Immune Responses 3
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- Adsorption and biosorption for pollutant removal 4
- Membrane Separation Technologies 3
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- Extracellular vesicles in disease 3
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- Antibiotic Resistance in Bacteria 3
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- Cancer Immunotherapy and Biomarkers 3
- Journals
- CNS Neuroscience & Therapeutics (7 papers)International Journal of Biological Macromolecules (2 papers)Journal of Pharmaceutical Sciences (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jialin Liu
38 papers receiving 924 citations
Peers
Comparison fields: 5 of 112
- Applied Microbiology and Biotechnology 30
- Fluid Flow and Transfer Processes 90
- Genetics 132
- Biomaterials 149
- Cancer Research 140
Countries citing papers authored by Jialin Liu
This map shows the geographic impact of Jialin 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 Jialin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jialin Liu more than expected).
Fields of papers citing papers by Jialin Liu
This network shows the impact of papers produced by Jialin 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 Jialin Liu. The network helps show where Jialin Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jialin 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 | 10 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 14 | |
| 12 | 2021 | 63 | |
| 13 | 2021 | 105 | |
| 14 | 2020 | 67 | |
| 15 | 2020 | 77 | |
| 16 | 2020 | 22 | |
| 17 | 2019 | 38 | |
| 18 | 2019 | 28 | |
| 19 | 2017 | 37 | |
| 20 | 2013 | 38 |
About Jialin Liu
Jialin Liu is a scholar working on Genetics, Applied Microbiology and Biotechnology, Molecular Medicine, Immunology and Water Science and Technology, having authored 39 papers that have together received 930 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (14 papers), Immune cells in cancer (5 papers), Adsorption and biosorption for pollutant removal (4 papers), Immunotherapy and Immune Responses (3 papers), Extracellular vesicles in disease (3 papers), Membrane Separation Technologies (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (30 citations), Fluid Flow and Transfer Processes (90 citations), Genetics (132 citations), Biomaterials (149 citations) and Cancer Research (140 citations). Jialin Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jiayin Huang, Yaqin Hu, Bing Li, Jianzhong Guo, Ling Chen, Xinguang Yu, Mingfa Yao, Zunqing Zheng, Rolf D. Reitz and Xinlei Liu. Their work appears in journals such as CNS Neuroscience & Therapeutics, International Journal of Biological Macromolecules, Journal of Pharmaceutical Sciences, Japanese Journal of Clinical Oncology and Cancer Letters.
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.