Ju Liu
Impact in
-
- Regulation of Appetite and Obesity
- Molecular Biology top 2%
- RNA Interference and Gene Delivery
- Angiogenesis and VEGF in Cancer
Papers in
- Immunology 32
- T-cell and B-cell Immunology 8
-
- Angiogenesis and VEGF in Cancer 26
- Co-authors
- Fengyun Dong (29 shared papers)Carolyn M. Kapron (14 shared papers)Corrinne G. Lobe (12 shared papers)Allan S. Y. Lau (1 shared paper)Suhua Yan (16 shared papers)Kaiyong Cai (8 shared papers)Liqun Li (18 shared papers)Ye He (5 shared papers)
- Journals
- International Journal of Molecular Medicine (5 papers)Journal of Neuroimmunology (4 papers)Oncotarget (4 papers)Frontiers in Immunology (4 papers)Gene (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ju Liu
332 papers receiving 7.4k citations
Ju Liu's Hit Papers
Peers
Comparison fields: 5 of 155
- Endocrine and Autonomic Systems 207
- Molecular Biology 2.2k
- Immunology 613
- Neurology 222
- Cancer Research 381
Countries citing papers authored by Ju Liu
This map shows the geographic impact of Ju 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 Ju Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Liu more than expected).
Fields of papers citing papers by Ju Liu
This network shows the impact of papers produced by Ju 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 Ju Liu. The network helps show where Ju Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju 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
Showing the 20 most-cited of 340 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Biodegradable Lipids Enabling Rapidly Eliminated Lipid Nanoparticles for Systemic Delivery of RNAi Therapeutics Hit paper breakdown → | 2013 | 544 |
| 2 | 2017 | 242 | |
| 3 | 2019 | 228 | |
| 4 | 1996 | 157 | |
| 5 | 2014 | 140 | |
| 6 | 2014 | 125 | |
| 7 | 2012 | 117 | |
| 8 | 2020 | 112 | |
| 9 | 2008 | 107 | |
| 10 | 2019 | 104 | |
| 11 | 2019 | 103 | |
| 12 | 2017 | 99 | |
| 13 | 2016 | 94 | |
| 14 | 2018 | 91 | |
| 15 | 2021 | 90 | |
| 16 | 2014 | 80 | |
| 17 | 2020 | 74 | |
| 18 | 2019 | 68 | |
| 19 | 2018 | 66 | |
| 20 | 2017 | 65 |
About Ju Liu
Ju Liu is a scholar working on Immunology, Molecular Biology, Pathology and Forensic Medicine, Neurology and Oncology, having authored 340 papers that have together received 7.6k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (26 papers), Multiple Sclerosis Research Studies (14 papers), Heavy Metal Exposure and Toxicity (12 papers), Regulation of Appetite and Obesity (10 papers), T-cell and B-cell Immunology (8 papers), Barrier Structure and Function Studies (8 papers), Renal Diseases and Glomerulopathies (7 papers) and Cardiac Fibrosis and Remodeling (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (207 citations), Molecular Biology (2.2k citations), Immunology (613 citations), Neurology (222 citations) and Cancer Research (381 citations). Ju Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Fengyun Dong, Carolyn M. Kapron, Corrinne G. Lobe, Allan S. Y. Lau, Suhua Yan, Kaiyong Cai, Liqun Li, Ye He, Youichiro Wada and Yinglong Hou. Their work appears in journals such as International Journal of Molecular Medicine, Journal of Neuroimmunology, Oncotarget, Frontiers in Immunology and Gene.
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.