Ju Liang
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
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- Traditional Chinese Medicine Analysis
Papers in ⓘ
- Biomaterials 12
- Nanoparticle-Based Drug Delivery 7
- Supramolecular Self-Assembly in Materials 5
- Co-authors
- Wen‐Lan Wu (20 shared papers)Junbo Li (17 shared papers)Yubo Li (10 shared papers)Yanjun Zhang (9 shared papers)Zhiguo Hou (7 shared papers)Zhenzhu Zhang (5 shared papers)Xiao‐Ding Xu (1 shared paper)Xian‐Zheng Zhang (1 shared paper)
- Journals
- RSC Advances (6 papers)Colloids and Surfaces B Biointerfaces (4 papers)New Journal of Chemistry (2 papers)Journal of Medicinal Chemistry (2 papers)Journal of Chromatography B (2 papers)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Ju Liang
50 papers receiving 714 citations
Peers
Comparison fields: 5 of 105
- Biomaterials 181
- Complementary and alternative medicine 61
- Pharmacology 56
- Molecular Medicine 28
- Molecular Biology 348
Countries citing papers authored by Ju Liang
This map shows the geographic impact of Ju 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 Ju Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Liang more than expected).
Fields of papers citing papers by Ju Liang
This network shows the impact of papers produced by Ju 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 Ju Liang. The network helps show where Ju Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 82 | |
| 2 | 2015 | 69 | |
| 3 | 2016 | 34 | |
| 4 | 2013 | 34 | |
| 5 | 2013 | 33 | |
| 6 | 2006 | 30 | |
| 7 | 2019 | 28 | |
| 8 | 2016 | 28 | |
| 9 | 2016 | 26 | |
| 10 | 2015 | 24 | |
| 11 | 2023 | 23 | |
| 12 | 2014 | 23 | |
| 13 | 2019 | 22 | |
| 14 | 2014 | 20 | |
| 15 | 2014 | 17 | |
| 16 | 2023 | 16 | |
| 17 | 2021 | 14 | |
| 18 | 2015 | 13 | |
| 19 | 2017 | 13 | |
| 20 | 2020 | 13 |
About Ju Liang
Ju Liang is a scholar working on Biomaterials, Molecular Medicine, Catalysis, Bioengineering and Complementary and alternative medicine, having authored 52 papers that have together received 720 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Nanoparticle-Based Drug Delivery (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Supramolecular Self-Assembly in Materials (5 papers), Advanced Polymer Synthesis and Characterization (4 papers), Dendrimers and Hyperbranched Polymers (4 papers) and Ionic liquids properties and applications (4 papers). The work is most often cited by research in Biomaterials (181 citations), Complementary and alternative medicine (61 citations), Pharmacology (56 citations), Molecular Medicine (28 citations) and Molecular Biology (348 citations). Ju Liang has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Wen‐Lan Wu, Junbo Li, Yubo Li, Yanjun Zhang, Zhiguo Hou, Zhenzhu Zhang, Xiao‐Ding Xu, Xian‐Zheng Zhang, Ren‐Xi Zhuo and Lei Wang. Their work appears in journals such as RSC Advances, Colloids and Surfaces B Biointerfaces, New Journal of Chemistry, Journal of Medicinal Chemistry and Journal of Chromatography B.
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.